{"id":74506,"date":"2025-12-08T23:01:16","date_gmt":"2025-12-08T23:01:16","guid":{"rendered":"https:\/\/enterpriseleague.com\/blog\/?p=74506"},"modified":"2025-12-08T23:01:23","modified_gmt":"2025-12-08T23:01:23","slug":"how-to-choose-the-right-tool-for-waterfall-chart-reporting","status":"publish","type":"post","link":"https:\/\/enterpriseleague.com\/blog\/how-to-choose-the-right-tool-for-waterfall-chart-reporting\/","title":{"rendered":"How To Choose the Right Tool for Waterfall Chart Reporting"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Text&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p class=\"c3\"><span style=\"overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 624.00px; height: 416.00px;\"><img alt=\"\" src=\"https:\/\/enterpriseleague.com\/blog\/wp-content\/uploads\/how-to-choose-the-right-tool-for-waterfall-chart-reporting-inline.webp\" style=\"width: 624.00px; height: 416.00px; margin-left: 0.00px; margin-top: 0.00px; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px);\" title=\"\" srcset=\"https:\/\/enterpriseleague.com\/blog\/wp-content\/uploads\/how-to-choose-the-right-tool-for-waterfall-chart-reporting-inline.webp 1500w, https:\/\/enterpriseleague.com\/blog\/wp-content\/uploads\/how-to-choose-the-right-tool-for-waterfall-chart-reporting-inline-1280x853.webp 1280w, https:\/\/enterpriseleague.com\/blog\/wp-content\/uploads\/how-to-choose-the-right-tool-for-waterfall-chart-reporting-inline-980x653.webp 980w, https:\/\/enterpriseleague.com\/blog\/wp-content\/uploads\/how-to-choose-the-right-tool-for-waterfall-chart-reporting-inline-480x320.webp 480w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" width=\"1500\" height=\"1000\" loading=\"lazy\" decoding=\"async\" data-el-inline-extracted=\"1\" \/><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Clear waterfall charts help teams explain how results change over time. This guide compares Excel, Google Sheets, and Power BI, then looks at add-ins such as Zebra BI and think-cell for advanced financial reporting.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">You will see where each option fits, from quick collaboration to governed analytics. We also cover design practices that reduce clutter, highlight key movements, and prevent misleading scales.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Finally, a step-by-step section shows how to structure data, set totals, and refine visuals. The goal is simple, choose a tool that fits your stack, reporting cadence, and audience, then build charts that tell the truth.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.os008yopxd31\"><span class=\"c8\">Tool for waterfall chart reporting<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Your specific reporting needs and technical environment will determine the best waterfall chart tool for you. Let&#8217;s get into the options and find what works best for your situation.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.xbezgerysy5j\"><span class=\"c8\">Overview of Excel, Google Sheets, Power BI<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Microsoft Excel comes with built-in waterfall chart features in versions 2016 and newer. The simple implementation works well for basic scenarios but has limitations with complex data.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Excel doesn&#8217;t deal very well with features like stacked waterfall charts that many finance professionals need. In spite of that, many occasional chart creators prefer it because they&#8217;re already familiar with the platform.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Google Sheets makes creating waterfall charts simple with minimal setup needed. You just need to put your labels in the first column and numeric values in the ones that follow. The tool takes care of connector lines and color coding automatically, which makes the whole process easier. The downside is that it&#8217;s nowhere near as customizable as specialized tools.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Power BI takes waterfall visualization to the next level. Users say that &#8220;waterfall charts show a running total as Power BI adds and subtracts values&#8221;. The built-in Power BI waterfall chart works well for standard reporting but runs into issues with advanced needs like showing values in a ladder-like progression.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.e3gx4nkdgsc3\"><span class=\"c8\">Benefits of using Zebra BI and other add-ins<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Add-ins take waterfall chart capabilities to new heights. Zebra BI turns standard Excel and Power BI charts into professional financial visuals. Users can create advanced waterfall charts in just three steps instead of ten with Zebra BI for Office.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">The add-in figures out relative and absolute variances without complex DAX formulas. It also explains differences between starting and ending values. One finance team reported they &#8220;cut report preparation time in half&#8221; using Zebra BI.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Think-cell does the same for PowerPoint, helping users create industry-leading waterfall charts with better functionality. More than 1,000,000 users across 25,000 companies use this add-in to save hours on chart creation.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.pdnqd46gj7tc\"><span class=\"c8\">Best practices for building insightful reports<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Clear waterfall charts require more than just good formatting, they need honest data storytelling. Let&#8217;s get into how we can create reports that inform without misleading.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.jl4gwmks8ds7\"><span class=\"c8\">Avoiding clutter and misleading visuals<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Good intentions often lead to confusing reports. Charts with too many bars create visual noise that clouds your message. Your visualization should focus on the most important contributors while grouping minor items into an &#8220;Other&#8221; category.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Axis scaling needs careful attention. Small differences can look dramatic with truncated y-axes. Uniform scaling shows trends accurately. Your data story gets distorted when chart dimensions stretch or compress, so keep those aspect ratios consistent.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Colors should help, not hinder understanding. Use no more than 3-4 colors total and stay consistent, one shade for expenses, another for revenues. This disciplined approach makes charts easy to read.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.cbcv9bt349i0\"><span class=\"c8\">Highlighting key changes and trends<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Start and end points deserve special attention. These points are vital context for understanding your data story. Different patterns or colors for these columns can help them stand out.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Labels turn good charts into great ones. Waterfall columns without a common baseline make size comparisons difficult without clear labels. Restraint matters, though label only the key values to keep things clear.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Thin, light connector lines guide viewers through your chart&#8217;s story. They shouldn&#8217;t compete with your data.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.q794z86iuvq0\"><span class=\"c8\">Arranging the chart design with reporting goals<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Your chart starts a visual conversation with your audience. The title should reveal the key message instead of just describing the chart.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Detail levels should match your audience&#8217;s needs. High-level clarity works for senior executives, while operational teams need more detailed breakdowns.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Watch out for misinterpretations. Everyone brings their own biases and industry experience. The best waterfall charts include helpful annotations that guide understanding without explanation.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span>Complex reporting might need specialized tools like <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/zebrabi.com\/creating-advanced-power-bi-waterfall-charts\/\" rel=\"sponsored nofollow\">Zebra BI waterfall<\/a><\/span><span class=\"c1\">\u00a0to tap into the full potential of waterfall visualization with features built for financial analysis.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.vi5x0mz20mqs\"><span class=\"c8\">How to create a waterfall chart step-by-step<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Making a waterfall chart is simpler than you might expect. The right tools and approach will help you turn raw data into visual stories within minutes. Here&#8217;s how to break this down into simple steps.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.lg4r5keoe3ug\"><span class=\"c8\">Prepare your dataset<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">The foundation of a good waterfall chart starts with well-organized data.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">You need two simple elements:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_6fqcpd6i03gh-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Categories\/Labels: These appear on the horizontal axis and identify each data point<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Values: The numerical data showing increases or decreases<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">Your data should show a clear starting value, changes (both positive and negative), and an ending value. Financial reports might start with net income, show various adjustments, and finish with ending net income.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">A good example is tracking monthly banking transactions. Start with an opening balance, list transactions, and show the closing balance.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Excel users don&#8217;t need complex calculations beforehand. The =SUM() formula works for your total column to reflect changes in other values automatically. Just skip the subtotal columns from this sum to avoid counting values twice.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.2iz2x4lfzxy7\"><span class=\"c8\">Insert a waterfall chart in Excel or Google Sheets<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Adding the chart becomes easy once your data is ready.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">In Excel:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_xfoqtqnabm3g-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Select your data range (use Ctrl\/Cmd for non-adjacent columns)<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Go to the Insert tab<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Find the Waterfall chart in the Charts section (it looks like a modified column chart)<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click to add the chart to your sheet<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">In Google Sheets:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_gtsfk13nzrxd-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Select your data<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Go to Insert &gt; Chart<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0From the Chart editor, select Waterfall under chart types<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">Google Sheets users who want more control can create a manual waterfall chart:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_1s13jdzbapp8-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Create a new table with columns for Base, Endpoints, Positive, and Negative<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Apply specific formulas to calculate values for each column<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Create a stacked column chart<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Make the Base column transparent<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">Google Sheets handles the technical aspects like connector lines and color coding automatically.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.1mnae8qa5k2x\"><span class=\"c8\">Set totals and adjust chart elements<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">The basic chart needs refinement to make the data stand out.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Excel totals and subtotals work this way:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_u92blzo0jbhf-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click once on the total column (like ending balance)<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click again to focus on that column<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Right-click and pick &#8220;Set as total&#8221; from the menu<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0You&#8217;ll find the &#8220;Set as total&#8221; checkbox in the Format Data Point pane<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">This step is vital as it anchors total columns to the baseline instead of showing them as floating changes.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Google Sheets makes subtotal setting simple:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_aw0cyoszq9bk-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Open the &#8216;Customize&#8217; tab in the chart editor<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click &#8216;Series&#8217; to expand options<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Check &#8216;Use first value as subtotal&#8217;<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Add more subtotals using the button at the bottom of the section<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">Your chart will look better if you:<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<ul class=\"c4 lst-kix_3ru1m2nq1td4-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Remove unnecessary gridlines, legends, or axes<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Write a descriptive chart title<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Pick colors that create visual impact<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Add or remove data labels based on data density<\/span><\/li>\n<\/ul>\n<p class=\"c3\"><span class=\"c1\">Advanced waterfall visualizations in Power BI are covered in Zebra BI&#8217;s guide to creating advanced Power BI waterfall charts.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">These adjustments will help you create a powerful visual tool that tells your data story clearly. Your reports will be easier to understand at first glance.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<h2 class=\"c0\" id=\"h.deaym9sb8u9r\"><span class=\"c8\">Final words:<\/span><\/h2>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Pick your tool by need, not buzz. Excel and Google Sheets handle quick builds and team sharing. Power BI connects data sources and supports dashboard workflows. Zebra BI automates variances and follows IBCS rules.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">Think-cell speeds polished slides with stacked waterfalls inside PowerPoint. Whatever you choose, keep visuals clean, label only what matters, and use consistent scales. Start with sound data, set clear totals, and write titles that state the takeaway.<\/span><\/p>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p class=\"c3\"><span class=\"c1\">When tools and practices align, waterfall charts become dependable explanations of change, helping leaders spot drivers, compare scenarios, and act with confidence.<\/p>\n<p><\/span><\/p>\n<h4 class=\"c10\" id=\"h.thzxswof9obb\"><span class=\"c11\">More must-read stories from Enterprise League:<\/span><\/h4>\n<ul class=\"c4 lst-kix_6c97abb4jj1-0 start\">\n<li class=\"c3 c6 li-bullet-0\"><span>Master essential <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/enterpriseleague.com\/blog\/business-knowledge\/\">business knowledge<\/a><\/span><span class=\"c1\">\u00a0to make informed reporting decisions.<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span>Discover how <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/enterpriseleague.com\/blog\/inventory-management-software\/\">inventory management software<\/a><\/span><span class=\"c1\">\u00a0streamlines your business data tracking.<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span>Learn why <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/enterpriseleague.com\/blog\/advantages-of-business-process-automation\/\">advantages of business process automation<\/a><\/span><span class=\"c1\">\u00a0include better data visualization.<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span>Explore <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/enterpriseleague.com\/blog\/smart-solutions-for-business-management-and-automation\/\">smart solutions for business management and automation<\/a><\/span><span class=\"c1\">\u00a0to enhance reporting capabilities.<\/span><\/li>\n<li class=\"c3 c6 li-bullet-0\"><span>Understand how <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/enterpriseleague.com\/blog\/visualizing-improvement-data\/\">visualizing improvement data<\/a><\/span><span class=\"c1\">\u00a0drives better business outcomes.<\/span><\/li>\n<\/ul>\n<p class=\"c2\"><span class=\"c1\"><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Clear waterfall charts help teams explain how results change over time. This guide compares Excel, Google Sheets, and Power BI, then looks at add-ins such as Zebra BI and think-cell for advanced financial reporting. You will see where each option fits, from quick collaboration to governed analytics. We also cover design practices that reduce clutter, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":74510,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<p class=\"c3\"><span style=\"overflow: hidden; display: inline-block; margin: 0.00px 0.00px; border: 0.00px solid #000000; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px); width: 624.00px; height: 416.00px;\"><img alt=\"\" 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\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XqrYmEdCTPvRmo80uaZpylqM\/wDEsvv+uZrlgeBXURH\/AIll\/wD9czXKjoK4MT8ReHWsvU6pz\/xKNO\/65j+VVs1M5xo2nf8AXMf+g1Wz7120vgRrTp6fNjs0ZpM0ma1OhUySP\/XR\/wC+P51R1\/8A5C8v+4n\/AKDV2M\/vY\/8AeH86peIP+QxL\/uJ\/6DXLitkJwtNE3hn\/AJCc3\/XA\/wDoQqU\/eb6movDP\/ITm\/wCuB\/8AQhUh+831P86eF2OvDwu2FLSUtdZ2xphU2o\/8iuv\/AF2X\/wBCNQ1NqX\/IrL\/13X\/0JqxxHwBUp+6c033T9K7DUB+7s\/8Ariv8hXHsPkP0rsNQH7qy\/wCuK\/yFc2G+M6cvjrIpYoopcV6B6qgFW9N\/4\/o\/x\/lVWrWnf8f8X41E\/hZooHPah\/yFbz\/rs1bfh3\/kD6l\/vD+VYuo\/8ha8\/wCuzVueHP8AkD6l\/vD+VeZD4zhwK\/2r7xB0FFOAor1D6RREpcUUtI0URPEX\/II03\/eP8qwYP+Pu3\/66p\/6EK3\/En\/II0z\/eP8qwIP8Aj7t\/+uqf+hCvMn8R4GNX+1fcddqw\/wCJi\/8AurVHFX9WH\/Exf\/dWqVd1P4UfTJaCd6KWitLjsX9H\/wCPif8A65\/41xQ6fjXbaP8A8fE3\/XP\/ABriQOPxrhr\/ABni5vtD5nTeHOdE1L\/rp\/7JQKXw3\/yA9S\/66f8AslLW2H+FnqYD\/d4iUUUvatzsEb7p+lN8Wf8AHvpf+6\/8lp56H6UzxZ\/x76X\/ALr\/AMkrmxGyOPMP4EjAtv8Aj7g\/66L\/ADrstV\/4\/W+lcZb\/APH1B\/10X+ddnqn\/AB+n6VlQ+I5Mn+GRSNFFArsPbFq9pH\/H63\/XM\/zFUav6T\/x+H\/rmf5is6nwsmfws4iT\/AF0n\/XRv\/QjXQ+Evv33+4v8AWuel\/wBdL\/10b\/0I10PhH799n+4v9a4VufL4P\/el8zR7Uhp1NNdqPqEJTGp9NaqQGf4q\/wCQVpv+838q5CWuv8V\/8grTf95v5VyEleZW+Jnxec\/x5fIrNTD\/AMe8v4U96jP\/AB7y\/hXKeDU2+4rmmmlNJXMxiGgf6t\/wpDSj\/Vv+FImQw0lKaDUAD\/ephqRip9ab8n+1Q0JDaU\/cX6ml+T\/ao+XGPmpWAZUsIQ530z5f9qj5P9qhaA9SV1jBXb1zUB6mnDYCOtB2Z70PUFoNXG4Z6Zq00cIU\/wCNVvk\/2qDs96E7A1cGxs46ZphqT5duOaTCf7VJjGUq\/eH1pcJ\/tUo2A8ZpWGNb7x+tIOtPOzP8VJ8n+1TAG24460J1P0own+1SqUBPXpS6gR0oxg5pfk\/2qX5P9qkAynP2+lGE\/wBqhyCRjtQA2nL91\/pTaeg+V\/pQgI6KKKQwooooAKKKKQAv3qG+9QOooP3qfQBKmgKh\/m6VEKKE7O4NXJbgqz\/L6c4qLFHelpt3dxLTQB0NFKOhpMUDClopyozfdUnHXAppCEooo\/CmIUU9aYKcKaAXNOBptKKoY8Gng1GDTgapMtMmBqVWquDUgNaplpmzo+sTaVNxmS2Y\/vIv6r71u3ljFcwDUNOPmQv8zIv64Hr7VxytWlpOrT6XPvj+eFv9ZET973Hoa6qVW3uy2PSwuKXL7OrrH8i0DkVIPetS6sob+2\/tHTfnRuXjHXPfjsfasoGunY0q03Tfl0fc0tMlcTGPOYypOKu3FtFJbvhFVlUsCBisWGZoXDqeRVv+1JDjIUp\/EoHJraM4qLTR6OGxlGFB06iuyieaQEg5HBFX7m0SSP7TafMh5ZR\/T\/Cs\/PGaw3PNneLL6Ol7F5UnEg6H+tZ8kbROUfhhShirBlOCOhFXXUX1rvUYlTt\/Sp2Dn9ovMzTVzS702V4pY4hk+WQfyb8Kpk01uaa01IpVnTmpLdEHiLTf7N1Rwi4gly8ft6isciuxvk\/tTwt5n3p7M5+oHX\/x3+VcgR71x14cstOpGOpxjU5o\/DLVERppp5FNNcjPPY2m0+mGpJErRtPIFr8+3\/az1rOpKcZcrM6keZWuKdmSADik49KKDU3GGRRx6UYoxQSGR6Gj5fQ0lLQIPl96Xj3pMUHoKYC4B6Uc0mPanUCCnxIGcKTgHvTKUUxMc42sy5zjvSUUtPqIKctIKUU0SxwNTRSvC4eN2Rx0ZTg1CKeKaZLLn9pXv\/P1N\/32acNTvP8An6m\/77NUhSg1fMzNwj2L39pXmR\/pMv8A32asXeoXiFP9JmGV\/vmswdRVq\/PzR\/7tWpPlZDhHmWgHUr3\/AJ+pv++zSf2lef8AP1N\/32aqmkqOZlckexNNdT3GBNLJIB03NnFQUpptItK2wlFLSUhhRRRQAU5e9NFOWmJiCloooAWlpBSimIWnCm04UySe2\/4+FrqvB5\/0u8\/65f1Fcrbf8fC10\/hE\/wCl3f8A1y\/rXTR3Rw43+FL0NXdijcai3Ubq9RHi8pLmrNg3+mJ+P8qo7qs2Lf6Yv4\/ypS2FKOjOS1I51S7\/AOuz\/wAzWzoh\/wCJJd\/7\/wDSsTUT\/wATS7\/66v8AzNbGi\/8AIEu\/98fyrjpfGj1q6\/dL5Ds0ZpgNGa9RGKiOzQD8y\/Wm0Dqv1oY2tCDxQc6on\/XIfzNQ+Hj\/AMTZf9xqf4n\/AOQmn\/XIfzNReHf+Quv+41eX\/wAvDdL\/AGf5F6U\/vpP941HmnSn99J\/vGmV6y2HBaIdQDTaXtTsa8paiP\/Erv\/8Arma5cfdrp4v+QVqH\/XOuXGcV5+I+IdBay9Tp5f8AkEab\/wBc1\/8AQarZqzL\/AMgfTMf88l\/9BqrXdR+BHZThoLRSUv1rU3UB8X+vj\/3xVLX\/APkMyf7if+g1di\/10f8Avj+dUvEH\/Ial\/wBxP\/Qa5MVsRUhqmT+GP+QnN\/1wP\/oS1J\/E31P86j8L\/wDIUm\/64H\/0Jal\/ib6n+dPC\/CdeFjo2FLRRXYd0YhU2p\/8AIqrj\/nuv\/oZqKptT\/wCRVX\/rsv8A6G1YYj4B1Ie4zmW+6fpXY6gP3dn\/ANcF\/wDQRXGv9w\/Suz1D\/VWX\/XBf\/QRXLhvjNMtV3L5FGl+tFGK9A9ZRCrWm\/wDIQi\/H+VVvrVvTedRi\/H+VTP4Waxgc5qP\/ACFrz\/rs1bfhvP8AY+p\/7y\/yrE1L\/kL3n\/XZq2\/Df\/II1P8A3l\/lXlw+M8zAL\/a\/vHAcUtKBS16h9OkN9qXHFLzRjiguwniQf8SjTP8AeP8AKuft\/wDj7t\/+uqf+hCuh8S8aPpn+8f5Vztvj7Zb\/APXZP\/QhXlz+I+dxv+9\/cdjq3\/IRb\/dWqNXtV\/5CDf7q1SwK76fwo+nitAoIpaStCrGho3\/HzN\/1zrhxjB+tdxo3\/HzN\/wBc64cd\/rXBiPjPDzj7HzOn8ODOhal\/10\/9kFOpvhz\/AJAOp\/8AXT\/2QU\/rWuH+E9PL\/wCBESloxRXQdoh+6fpTPFp\/0fS\/o\/8AJakb7p+lReLf+PbSv91\/5LXNidkcOY\/wJHP2\/wDx9Qf9dF\/nXaapxfH6Vxduf9Lg\/wCui\/zrtdV\/4\/j\/ALv9azofEceTfDIpUtJ2pa7D3A71e0n\/AI\/G\/wCuZ\/mKpCrulD\/TG\/65n+YrOp8LJn8LOIk\/10v\/AF0b\/wBCNdD4R\/1l9\/uL\/Wudl\/183\/XRv\/QjXReD\/wDWX\/8AuL\/WuBbny+D\/AN6XzNKmmlpK7kfUCU006mMaaAo+K\/8AkE6af9tv5Vx0prsfFh\/4k+m\/77fyrjZK8yt8TPis5\/3iXyK7YphP7iX8Ke9MP+ok\/CuU8Gpt9xXNNNKaafWudlCGlH3H\/CkpyjcGA5NIiRGaSpPKf+7SeW\/901NmF0IHwMYzR5o\/u0eW\/wDdpPLf+4aLsWgvmj+7R5g\/u0nlP\/dNHlv\/AHTRdhZB5g\/u0eYP7tJ5b\/3aPLf+6aV5BZC+YP7tHmj+7TfLf+6aPLfspouwsh3mj+6KTzP9kUnlP\/dNHlv\/AHTReQ7IXzR\/do80f3aTy3\/umk8t\/wC6aV5BZDvNH92jzR\/dpPLf+6aTy3\/umi8gtEd5v+zR5o\/u03y3\/umjy3\/umi8gshfN\/wBmjzR\/dpPLf+6aPLf+7ReQaC+aP7tHmj+7SeW\/92jy3\/umi8gshfN\/2RTXbd0GKPKf+6aPKb+7SbbHZDKev3X+lHlv6U5VYK+RjikkxtkVJS4oqQEopfwpKACiiigAHWg9TTlxuGelDYLHA4p20GNopePSikAlLRRTAUdDSU4d6TNMQVctp0SPa3Bzn61TpacZcruiZLmVmPlcSSswGAT0ptJSigewUopBThTEApRSUoNNDHU4UwGnA1Qx4p4NRA08GqTKuSqalVqgBp4NaRZSZq6Zqk+mXPmxfMjf6yMnhh\/jXR3FtBqdv\/aGnck\/6yPvn6etcWrVe07Up9MuhNCcg\/fQ9GFdVOrbR7HdQxVl7OprH8vQ0M0ua1J4INXtft9gMSf8tI++f8ayM\/WugdVOm+66Mt2l21rL6xN98f1qTULURgXMODE\/XHQH1qjmtLS5xIr2cuCjg7f6igIVeZcsvkZtSW85gmDZ+U8NSTwtbzvC3VT+YqI80jD2jiyzfw+XNvX7knp61TNaBPn6Wc8tH\/T\/AOtWf3pDnNXuupr+H2D3Fxatys0fT\/Psa4+aIwTSQnrGxT8jXTaM+zWLfHclf0rH12MR69eqMDMm78xWVdXima1anPQj5NmWwphFSGmGuCRwjaYRT6bUEjaKDRUkiGkpaKBCYopaBQISinZA7UBsHO0UyRzROigspAPrTOoBqxNciRNoXGetQdhTaXQSb6iUtJS0hhSigdadjnpTEFAowaXFMkBSijFKKYhRThQBUiRs7BVGSe1UiWxoFKKl+zSj+E0fZ5f7tPlZHMu5Gv3qu33WM\/7NVxbyZ+6as3cbHZ8v8NaJOzIk1zIpUc1J5LnotL9mkPRM1NmVzIhNNNSvGyHDDBphFTYaY2g0uKMe9IdxtFLx60fjRYYnenL3pMD1pwHvTExKKXA9aMD1osIKWjA9aOPWmAtOFJj3pRTJJ7f\/AF610vhM\/wCmXf8A1y\/rXM2\/+vWum8JqWvLoD\/nl\/Wumjujixn8KXoX80Zqx\/Z83qn50v9nTf3k\/OvTUkePdFXNWbA\/6Yn0P8qP7Om9U\/OrFrYyxXCuxUgZ6GhyVhNqxxWoHOpXX\/XV\/5mtfRf8AkC3f+\/8A0rG1DjU7v\/rs\/wDM1u+H4mn0i5jXG4v3+lcVJ\/vD1q+lL7iLNLVz+yLn1j\/Ol\/sq59Y\/++q9Pnj3Ofnj3KVA+8v1q5\/Zdz6x\/nS\/2Vc8H93+dDnHuDqRtuZXic\/8TNf+uQ\/mah8Of8hdP9xql8Ucamn\/AFyH8zUfhsZ1hP8AcavMv+8OmP8Au\/yLcv8ArpP9402r76VcNI7Bo\/mYnrSf2Rc+sf516inG24oVI2WpR70Zq9\/ZNz6x\/nR\/ZFz6p+dVzx7mqqR7kUX\/ACC7\/wD651y46V2L2UttpN9v2nMR6VxoPFcGIacjSi03Jo6mUf8AEl0z\/rkv\/oNVa0o7OW70XThHtBWJSc\/7tM\/se6x1j\/Ou2lOKgjupOPLYoUVf\/se69Y\/zoGj3PrH+da88e5unHuU4f9fH\/vj+dU\/EJ\/4nUv8AuR\/+g1tR6TcpKjEx4VgetYniMbdclB\/55x\/+g1y4qScdCatmtCx4V\/5Ck3\/XA\/8AoS1L\/E2PU\/zqLwmN2qTgf8+5\/wDQlrUGj3OTzH1z1owsko6nVhWlEpCjFXv7IuR3j\/Ol\/sm59Y\/zrq9pHud0ZRKAqbUx\/wAUoD\/03X\/0NqtDSLr1j\/Oo9ct3tvC+xyCVmTOPdjWNecXDRlVGvZs5Fj8h+ldrqA\/dWX\/XBf8A0EVxDH5Wr0K40+a6t7Ro8DbCuc\/7orlw8kp3Y8tavIx8UYrR\/sa6\/vR\/rS\/2Jd+sf5mu\/wBrDuewjOxxVrTf+QjF+P8AKrI0O7\/vR\/mams9IuYLuORyhVc5xUSqw5XqaRscZqf8AyF73\/rs1b3hr\/kEan\/vL\/KsHVTt1m+H\/AE3aui8JQtcaXqMaEZZ1HP8Au150Je8eVgmli\/vEFLWj\/Yl0P4o\/zNH9iXfrH+Zr0faw7n06a7mdil5wa0f7Fu\/WP9aX+xLoj70f5mh1YdyuZdzK8Tf8gfTP94\/yrnbb\/j8t+f8Alqn\/AKEK6bxdC9vpenI+Mh2HH0rmLXm9t\/8Arsn\/AKEK86T94+bxzX1v7jtNWH\/Ewf8A3VqlW3faXPc3ZkRkC7QMGq39i3X96P8AWu2FWCilc+njJWWpm0Vpf2Ldf3o\/1pP7Euv70f61ftYdy+ePcTRh\/pM3\/XOuFXv9a9H0\/TJ7SWR5ChBTHy15sGH61x1pJyujws4kvdt5nV+G\/wDkBan\/ANdP\/ZBTzS+E4XuNG1FE+8023n\/cFX\/7Fuj\/ABR\/rWlGcUtWell8l9XiZ3SitH+xbn+\/H+tH9i3P9+P9a39rDud3PHuZzfdP0qLxb\/x7aV\/uv\/JK1jotyVI3R\/rWX4yQxW+lq3UeYv6LWFecWlY4cwlF0JHOW3\/H1B\/10X+ddvqv\/H8f92uGtm\/0y3\/66r\/OvRL\/AE6a4uTIhUDGMGs6MkpanFk8koyuY9FX\/wCx7n+9H+tH9kXOfvx\/rXV7SPc9vnj3KIq\/pQ\/0tv8AcP8AMUDSLj+\/H+tWrHT5recu5Ugrjj8KznUi4vUmc48r1POpf9fN\/wBdW\/8AQjXReD\/9bf8A+4v9a5yZsXEwP\/PV\/wD0I10ngtTJNfhf7i1yJ6ny+Ekvra+ZoE+9Iau\/2Vcf3k\/Wj+yrg90rsU49z6jnj3KOaaav\/wBlXH95KT+ybkj7yfrT9pHuPnj3MHxXxpGmj\/ab+VcdJ14rtfGkLwaZpyt1DsMj6VxDtXnVneTPi84l+\/lbyIXph\/1En4U5qYf9Q\/4Vyng1NiA03NKetJXOx3ENBopKlgBptLQaRInNJ+NLSUhhmk\/GjrRSuAZ+tJS0UgEo\/GlpKGMKTvS0UAJRzRRQAUUUUAHekpe9IKBi80UUUhBSc0p60nWkMKO9FFABRRRQAlFFFABSd6WikAUYoooAB1oNGKKYwooooEFFFLQADoaKUdDSUwCgUUtABRRS0xBSjrSUopiDpTqbSimA4UuaQUDpTGOFOBptKKaGSA04GoxTxVpjuSqakBqEGng1omO5o6ZqM2mXYmj5Xo6dmFb2q28ckcepWnzQTY3Y7H1rkwa6TwzcrMs+lT8xSIXQen94f1rqoz+yzenVvHkl8ipmnpI0UiyL95TkU2SN4JpIX+\/GxU\/hSfStjm9pZmrq6CRILtBxIuD\/AErLrVX994bbPWJv61k0yqtS7v3LlicrMnr\/AIVQHQVbsziV\/wDdqrSRHtNCzpfGq2v\/AF0rP8RDHiC6+q\/+g1oab\/yFbX\/roKo+JP8AkP3X\/Af5VlW+A2jUvTt5mO1MNPamGuBmdxhppp5ppqGK400lLSgcZpWJbGUUtFKwriUvakpe1AhKKWigLhS9hSUppiEoopfrQFwp2T60lLQJhSigUDpTEOpRSU4UyRy9q2vDmnf2rrkNqJNhdXbdjPRSax1HFdR4CH\/FW2h\/2Jf\/AEA1cN0c+Jk40pNbpM0JPD1rllOqRKQSCNtRjw9Zjrq8f\/fFZ97\/AMftxn\/nq38zVYiu1pPoebGNW3x\/gjZOgWX\/AEFk\/wC+KJdCtHI\/4m0fH+xWJj2op2j2K5Kn8\/4I2F8O2Z\/5i0f\/AHzUq6BaAcarGf8AgNYVKDg0rRXQHCq\/t\/gi34l0QaR9kkW4Ey3CFgQuMVzrcmuz8aHOmaH\/ANcD\/SuMbrXLPc68HOU6Sct9fzGUYpTSVB0iUlLRSKEpy96bTl70xCClpBS0AFL9KSlpiHUooVGc4UEn2qwtqFwZnCj0HWqSZLaQ23\/1q1KJHjclHZT6qcUvnRJxHHnHc0nnof8AlktaLRbmbu3sP+1T\/wDPZ\/8Avs0v2uf\/AJ7yf99mmecn\/PFaTz0\/55LVKXmTy+RL9rn\/AOe7\/wDfZpPtU\/8Az2f\/AL6NM85P+eK0nnp\/zyWjm8xcvkIWzySSfU05ZpIxhJGXP904o89P+eS0nnp\/zyWhMdn2H\/apv+esn\/fZo+1T\/wDPd\/8Avo0zz0\/54rR56f8APFKfN5hy+Q77TP8A895f++zR9qn\/AOe8n\/fZpvnp\/wA8Uo89P+eKUc3mFvIa0ju2XcsfUnNCyMhyjFT6g4p32hP+eKUnnL\/zyWlfzHr2Hfapv+e8n\/fZpPtU\/wDz3k\/77NJ56f8APFKPPT\/nilVzeYW8hftM3\/PeX\/vs0faZv+e8v\/fZpvnx\/wDPJaXz0\/54pRzeY\/kKZ5iMGaQg9i5qPdTvPT\/nitJ56f8APFaObzGr9hwnmCgCaQAdAHNH2ib\/AJ7y\/wDfZpPOTH+pT86b58f\/ADxT86fN5l8z7DvtE3\/PeX\/vs0Geb\/nvL\/32ab50f\/PFKDMn\/PFPzo5\/MOZ9h3nzf895f+\/hprOzNl2Zj6k5pPOT\/nin50ecn\/PFaOa\/UfM+w5ZGQ5R2U9MqcUv2ib\/nvL\/38NM85Mf6hKPOT\/ngn50c3mWpyXQk+0Tf895f++zR9om\/57zf9\/DUfnJ\/zwT86POT\/nin50+fzL9pLsS\/aZv+e83\/AH8NI88jrteaRl9GckUzzk\/54J+dHnJ\/zwSjn8ylUl2HbhipPtU3H+kTcf8ATQ1D5yf88Uo85P8Angn50c3mXGrJbIm+0z5\/4+Jv+\/jUfap\/+fib\/v41Q+cn\/PBKPOT\/AJ4J+dPm8zRV5+f3k\/2qf\/n4n\/7+NQLqfP8Ax8Tf9\/G\/xqDzk\/54J+dHnJ\/zxSjm8yvrE\/P7yQtliSSSepNPSeSPISWRM9djEZqHzk\/54p+dHnp\/zwSjmXcI1pJ3sWftc\/8Az8z\/APfxqPtc\/wDz8z\/9\/W\/xqt56f88E\/Ol89P8Angn50+fzNlip+f3lj7Xcf8\/M\/wD38aj7XP8A8\/M\/\/fxqr+cn\/PBPzo89P+eCfnRzeY\/rc\/P7yV55JMeZLI4HTcxOKQPjkEg+oqPz0\/54J+dAmT\/ngn50ubzIdeTd2iz9ruP+fmf\/AL+tR9rn\/wCfif8A7+NVbz0\/54p+dHnp\/wA8E\/OnzeZqsXPz+8s\/a5\/+fmf\/AL+NR9rn\/wCfmf8A7+NVbzk\/54J+dHnL\/wA8U\/Ojm8w+t1PP7yyLu4\/5+Z\/+\/jVHvqLzk\/54p+Zo89f+eKfnRzeYniJS3TLCXEkYIjmkQHqEcjNPF3N\/z8zf9\/Gqp56\/88U\/Ojz1H\/LFPzo5vMqOKmlZX+8t\/a5\/+fmf\/v41J9rnx\/x8z\/8AfxqrfaE\/54p+dJ56\/wDPBPzo5vMr63Pz+8tfa5\/+fib\/AL+NTJJ5JMeZJI+Om9icVB56\/wDPFPzo89P+eCfnRzeYnipyVnf7yUP71N9rn\/5+Z\/8Av41VPPT\/AJ4p+dL56\/8APFPzo5vMI4mUdrlr7ZP\/AM\/E\/wD38aj7XP8A8\/E3\/fxqqeenXyU\/Ojz0\/wCeKfnRzeZX1yp5\/eWvtc\/\/AD8Tf9\/DR9snHS5n\/wC\/jVV+0J\/zxT86Q3Cn\/liv50c\/mL63Pz+8l39809J3jJ2SSJnrsYjNV\/tCf88U\/Om+ev8AzxT86XN5maxEk72Ln224\/wCfmf8A7+NQb2f\/AJ+Z\/wDv41U\/tCY\/1KfnSfaE\/wCeKfnS5\/Mr63U8\/vLZvZ\/+fmf\/AL+N\/jSG9n\/5+Z\/+\/rVUNwv\/ADxSmm4X\/nilLn8yXjKnn95PLcySgB5ZHA6b3LYquzCg3Cn\/AJYpTDMv\/PJKhyT6nPOtKTu0NY00n9y\/4UplX\/nklHnDBBjXB64rO67nPJt9CA02pzFHJ\/q3wf7rVC6MhwwxWUotDUkxhooJorNlCGkNKfpSGkIO9JS0hpDEoxS0hpAFJS0lIBaSlpKYBRRRUjE70UtFACcUUtFACUUtJQAUUUUABooooAKSlooASj3paKQCUmKWjvQMSilpMUAFFFLQAlFO2+4o2+4osFxuKKdt9xRj3FFguJRTtvuKNvuKdhCDoaTFOC8daMfSnYAopdvuKNvuKLCEopce4ox70WAKUUmKUUxBRRSjrTAWl70lA60AOFKKbS9qodx4NKDTRThVBceDTwajHSniqQXJAau6dcfZdUtJ88JKu7\/dPB\/Q1RWn5xj1yP51tF2dxc1tTqNdi8rV5P8AaRWP16f0rPrW8Sj\/AImin1j\/APZjWSOld8tzmlUu7mvY\/NoV4PTNZA6VsacP+JJffj\/KscdBSZLqXLFqf3j\/AEqtU9t\/rG+lQ0hKpqWNN\/5Clr\/10FUfEf8AyMF1\/wAB\/lV\/Th\/xNLX\/AK6CqHiMf8T+6\/4D\/Ks6\/wAB0U6mljHNMNSGmGuBmlxhppFPNNNQFxppKdSVIrjaKWjFFhXEpaXGPrRmgBOKMUvFHFFhCYopcCjigBKMU7AowvvQFwopfl96X5femIQClpfl96X5femISnjpSAL704Ypkseveup8BjPi2zH+xL\/6Aa5ZcV1XgP8A5G6z\/wB2X\/0A1pE5cX\/Bl6P8iC\/GNQufaZ\/\/AEI1WNWr\/wD5CFz\/ANdn\/maqnpXWjkjshppKWkNBaCjvRR6UDN7xkc6ZoP8A17H+lcYfvV2XjHjS9B\/69z\/SuONckty8F\/CXz\/NjDSU44pOKk6xtFO496OPQ0DGYpR3p3y+9JkUAJRRRQA4cnFXDBFbgGYlmPOwVSHBzWsniC6SNUMVm4UYBktUY\/qKuNupMk+hTN2SMRqsY9utRFgTk8n1zWkPENz3tNO\/8Ao\/8Kd\/wklz0+x6d\/wCAUf8AhTb8xWktl+Jmbl9qXcPUVpf8JHc\/8+enf+AMf+FL\/wAJFc\/8+enf+AMf+FFwtLt+Jm7h\/k0bh6itL\/hIrnp9j03\/AMAo\/wDCnf8ACR3H\/Plpv\/gDH\/hRcVpdvxMrd70Z\/wBqtT\/hI5\/+fLTf\/AGP\/Cj\/AISO4\/589M\/8AY\/8KLhZ9jL3D2\/Ol3D2rU\/4SO4\/589M\/wDAGP8AwpP+EjuP+fHTf\/AGP\/CncLS7fiZeff8AWjPvWp\/wkVx\/z5ab\/wCAMf8AhR\/wkdx\/z56X\/wCAMf8AhRcLPsZe5fUUu4eo\/OtQ+I7j\/nz03\/wBj\/wpv\/CRXH\/Pnpv\/AIAx\/wCFFwtLt+Jl5H+TRkf5Nax8R3H\/AD56b\/4Ax\/4Un\/CRXH\/Plpv\/AIAx\/wCFFw17GVkf5NGR\/k1rf8JHcf8APlpn\/gDH\/hSf8JFcf8+Wm\/8AgDH\/AIUXDXsZXHqPzpPxFa3\/AAkVx\/z5aZ\/4Ax\/4Un\/CRXH\/AD46b\/4Ax\/4UXHZ9jLz9KTI9R+dav\/CR3H\/Pjpv\/AIAx\/wCFH\/CR3H\/Pnpn\/AIAx\/wCFFw17GTkeo\/OjcPUfnWqfEVwf+XPTR9LGP\/Ck\/wCEguB\/y6ab\/wCAMf8AhRddx69jLyPUfnRkeo\/OtT\/hIbn\/AJ9NO\/8AAKP\/AApP+EhuP+fTT\/8AwCj\/AMKd13D3uxlbh7fnS5HqPzrT\/wCEguf+fXT\/APwCj\/wpP7fuP+fXT\/8AwCj\/AMKLruPXsZm4eo\/Ok3r\/AHh+dan9v3Gf+PXTv\/AKP\/CmnXrgn\/j107\/wCj\/wouu5Sb7GduU9x+dLuX+8PzrQ\/t64\/wCfXTf\/AABj\/wAKP7euf+fTS\/8AwAj\/AMKd13Kj5mfvX1FHmL\/eH51fbXLk\/wDLtpo+lhF\/hSDW7j\/n203\/AMAIv8Kfu9zeKp9ZfgUPMX+8Pzo3r\/eH51oDXLj\/AJ9tM\/8ABfF\/hR\/blx\/z6aWf+4dF\/hRePcu1L+b8ChvX+8v50b1\/vL+daA124H\/Lppf\/AILov8KX+37nH\/HppX\/gui\/wouu5VqX8\/wCBnF1\/vL+dG9f7w\/OtL+37j\/n10v8A8F0X+FJ\/b0\/\/AD6aV\/4LYqLruO1L+f8AAzt6\/wB4fnQHX+8PzrS\/t+4\/59NK\/wDBbF\/hR\/wkFx\/z56Sf+4bF\/hRddwtS\/n\/AzfMX+8PzoEi\/3h+daf8AwkFx\/wA+ekj\/ALhsX+FH\/CQT4x9i0n\/wWxUXQ7Uv5\/wM3evqPzo3r\/fX860v+Ehnx\/x5aT\/4LYqD4hm\/58NH\/wDBbHRdFWpfz\/gZu9f7w\/Ojev8AeH51pf8ACQT\/APPhpH\/gtjoPiCb\/AJ8dI\/8ABZFRzIX7r+f8DN8xf7w\/OjzF\/vr+daX\/AAkEv\/PhpH\/gtjo\/4SCX\/nx0n\/wWx0cyK\/dfzfgzN3jPUfnR5i\/3l\/OtI+IJf+fDSP8AwWx0HxBMf+XDSP8AwWx\/4UcyD91\/N+DMzzE\/vL+dHmL\/AHh+daf\/AAkE3ax0n\/wWx\/4Uf8JDN\/z4aR\/4LY\/8KOZD\/dfz\/gzN8xf76\/nSeap\/iX860\/8AhIZs\/wDHhpH\/AILY\/wDCj\/hIZv8Anx0j\/wAFsVHMg\/dfzfgzM81c\/eH50eYv95fzrSPiGb\/nw0j\/AMFsdH\/CQ3H\/AD46T\/4Lo\/8ACjmQfuv5\/wADN8xP7y\/nR5q\/3l\/OtM+IZ8f8eOk\/+C6P\/Ck\/4SCb\/nw0n\/wXR\/4Ucy7j\/dfz\/gZvmr\/eX86PMT+8v51onxBN\/wA+Ok\/+C6Oj\/hIJ\/wDnx0n\/AMF0f+FHMg\/dfz\/gZ3mL\/eH50nmr\/eH51o\/2\/P8A8+Wlf+C6P\/CkPiC4\/wCfLSv\/AAXxf4UrruH7r+f8DP8AMX+8PzpPMX+8PzrR\/t6f\/nz0v\/wXx\/4Uh12cn\/j00z\/wXx\/4UXj3F+6\/m\/AzzIo7j86TzV\/vD86vnW5\/+fXTf\/AGOmnWpz\/y7af\/AOASUXj3Jfs\/5vwKPmL\/AHh+dIZAO\/61c\/tef\/n30\/8A8A0pP7Wm\/wCeFj\/4CJRePf8AAl8n834FTzF9R+dJvHqPzq0dVm\/54WX\/AICrTDqUx6wWf4Wy0vd7\/gZvl7lfcvqKTcPWrB1CXvDa\/wDfhaYb6Q\/8srf\/AL8rU+73\/AhvsQbh6ikJHrU\/2yT\/AJ5w\/wDfsUn2x\/8AnnD\/AN+xU+73Iu+xASB3p6zlRgkMvoamXUJUH+qtz9Ylpw1OUdIbX8YF\/wAKLpdRNN7oiECTgmLhwM7arc1ffV7l0K7IEyMZjhVTVCom49BxutxKSlpKzKE70U7BNJg+lJgJSGnYPpSYPoaVmAlFLg+lJg+lAwopdp9KMH0oAbiilwfSjB9KVgEopcH0pMH0oATvS0Y9qXB9KAEoox7UYPpQMM0d6MH0o5z0pAFJS4owaAEopcUlABRR+FGPaiwBSUuKMe1IBKKMe1GDnpQMKKXB9KNvsaAEopce9LgUxDaWlwKMCgAooo496BAKKXijj0NMBMUtHFHFABRS8UcUxBRRS0DEpRRTuMdKZIlFFKOelMAH0p2D6UZxwKSmA4Z9KUU0dacKYhwp4pgJp4q0Fx4605un5fzpo7U\/0+o\/nWkSGzr\/ABN\/yFE\/3D\/6EayQa1vE3\/ITX\/cP\/oRrIFejI85TukzZ04\/8SS+\/z2rHHStjTv8AkC33+e1Y4xQ9kRGd5MmhOGb6VDXR6X4bN1ZrcTTGPzBlVVc8eprG1Cyk0+9ktpCCU7juD0NSRTxFOc3GL1Qmm86pa\/8AXQVR8Rf8h+6\/4D\/Kr2mj\/iaW3\/XQVR8Rj\/ifXP8AwH+VZ1vgOujP37eRkGmEVIaYa4WdtxhFNNPNMPSoY7iU2nHrQakBMUUppKBCUUtFAxKKWikAmKWiimAUUUuKBBQKBS0AFLSUtNEiinDpTRTxTEx611XgL\/kb7L\/ck\/8AQDXKrXVeAv8Akb7T\/cl\/9ANXHc5MX\/Bl6P8AIgv\/APkIXX\/XZ\/8A0I1WNWr4f8TC6\/66v\/6EarNXYcsdkNIoIwK3fD2irqlw\/mMVhjGWx1PtWnr3hi3tLBrq1Zx5eN6sc8etOxjLF0o1VSb1OMoPWn4603HNSzqTN3xl\/wAg3Qv+vY\/0rjW612XjHnTNB\/69jXGt1rmluVgv4S+f5saaQ0tJUM7BO1FFFIYUUlFAxaKSigBaM0go7UxDqKSii4WFzS5pMH0pdrelMAzRmja3pRtb0oEGaXNG1vQ0bW9DQAZoo2t6UbG9KYBmjNGxvSjY3pQGgZozRsb0o2N6UAGaTNLsb0o2N6UBoFJn3pdjf3aNjf3aAEozS7G9KTY3900AJmjNLsf+7Rsb+7QMTNFLsb+6aTY392gAzRmjy2\/u0bG9KAEzRS7G\/u0bH\/umjUY2lpdj\/wB00bH\/ALpo1GNozTijj+Gk2P8A3TT1ATNGaXY\/900bH\/umjUYmaM0vlv8A3TR5b\/3TRqMQmjNKY3\/umjY\/900ahqJmjNLsf+6aTY\/900aj1DNGaXY\/900eW\/8AdNGoxKM0vlv\/AHTRsf8AumjUYmeaM+tHlv8A3DS+W\/8AcNGoaiZpM+9L5b\/3TR5b\/wB00ahqJmjNL5b\/AN00nlv\/AHTRqPUTNGaXy3\/un8qNj\/3TRqGoZozRsf8Aumja3900ajDNJml2P\/dNJtb+6aLsAzRmja\/900bW\/umldjDNGaTa\/wDdNG1v7p\/Ki4C5pM8UbW\/umja3900XAM0ZpNrf3TRtb+6aV2AZ5ozRtb+6aTa3900XGLmkzRhv7tJhvQ0hai5ozSYP92jB9KLgGaKMH0pMH0pMQZpKMH0owfSkAUE0lBoADSUUlSJBRRSUhhRQaKQBnBpSc\/WkNJRcAoz70vX60YxQAmfejNJRSGLmkz70UUgFzRmk70UwDJopcYpKQBk+tFFFFwEz70uaSikAtGT60naigBaTNGaXFACfjR+NFFAwzRmg0lAC5oyaBRQAmT60ZNFJQAuaMn\/JopMUXAdj3pQvfOBSgBeW5PpTSxJpiF2j1o2j1pKKLgLt9xS7R\/eFNooAdtHqKNo9RTaKAHbR6il28dRSAYGT+VBJJpiF2j+8KNo\/vCkzRQA7aPUUm0etJRmncB20Y+9S496bSii4hdvvR2ooFMBaKKUUxAKcKbThTEOpw600U4VSJJB1p6jJH1H86jFSp95fqP51pEiTOu8S86kP9w\/+hGsitfxL\/wAhFc\/3P6msfNei3qeZTd4o3NMGdGvef84rFrW02dU0u7QnBYcflWPnmk3oiad+aR02k+JRaWS280Jk8sfIytjj0NY2o3z6heyXEgCl8AKP4QOgqvErEOQrEAckDpUefSlcmnQhCbnFast6X\/yFbX\/roKp+I\/8AkO3P\/Af5Vb0v\/kKW3\/XQVV8R865cf8B\/lUVfgN6T\/ffL9TGamGpGphriZ3pjDTTTyKaRUMpMYRRSmkNSUJRiiikMSl70dqWmAlGKXFL0+tIQmKMD1pKO9MBcDHWjA9aKKQC4HrRgetJS0wFwPWlwPWm0ooEPGPWgUgpRQSPXpXVeAv8AkbbP\/cl\/9ANcqveuq8Bf8jdZ\/wC5J\/6Aa0icuL\/gy9H+RFf\/APIRuP8Ars\/\/AKEarEVZvv8AkIXI\/wCmr\/8AoRqvXbE5I7I1dG1h9JnZ1TejjDJnrV7WfE51CzNtDF5cbHLEtkmubpCfU0XM5YalKoqrWolNPWnZptJnQjc8Yn\/iV6F\/17n+lcafvV2XjEf8SvQv+vc\/0rjW61yz3NMF\/CXz\/NjaT1paSoZ1iUo60UlIYrgBsCm0UUDCik70UALmjNJRQA7NFJ9aKYC5oyaTNFAD88UmaB0JpuaBWHZopuaKAFz9aMn1pKO9ADs0maSigBc0ZPrSUZoGLmkyfU0ZozQAZ96crYYU3NJmgLD34cim5p0nO1vUUzNDBC5oz70maM0DFyfU0mT60UUAGT60Z54ozRQAZPrRk+tJmjNAC5PqaMn1NJmigCRiSA2TTNxx1NPjw2V9elR0wFyfU0ZPqaTNGaQai7j6mjcfU03NGaLjHbj6mkyf7xpM+9GaLgLuPqaNx9TSZpM0XHcduPqacrHOCTUeaXNO4DizA4yaN59T+dKPnX\/aFR5o1GO3N\/eNG5v7xpuaTNK4XY\/c3940m9v7xpuaXPvRcdxdzf3jRub+8abRmi4XHbm\/vGjcwP3jTaUHPGaLjuLub+8aTc3qaQ8GkzRcLjtx\/vGjcfU02ilcdx25vU0bm9TTc0UXYXYu5vU0bj6mkozxRcBdx9TRub1NNzRRcY7cfU0ZJ43Gm5pM0XC44k+ppCx9TS9eDTehxzSC4uT6mjJx1puaM8UXAXJ9aMn1pM0ZpXAMn1ozSZozRcBc0maKKVxBmkoooACaKMZpPakAtHFJRSAXj1o49aSkoGLx60cetJRQAuB60oI6E02kouA4jHek49aUNj6UFc8igAwPWkwP71JRSAXA\/vUYH96kz7UUXAXp\/FS4B\/iptFFxi4x3ox\/tCgH1oK8ZHIoEJtHrRj3opKVxi496Me9JRRcBcD1ox70lFFwHYB70mKTpSg5680AGPekx7inbeMjkU2gAx70UUUhiUc0UUAFFFFAD8J6mjCerflTaKdxDsJ6mjCepptFFwHYT1ajCerU2ii4D8J6mnBVxnnHvTQoXlvypCxY80xDjtJ+835UmE\/vH8qbijFFwH4T+8fyownqfypmKWi4DsJ\/eP5UuE9T+VMpQCeKYDgF7E0uFHGeaTO3gfnTRTEPwPWgBfWkooEO49aOPWkopiHYFKKaKcKYmOFSIhY4AzV\/RtLbVJpY1yzRxlwg6tjsKnIEWVRBHg4xjmtYQurmM6qT5VuUUtJm5K7R6scVMLQjb84JyOAPepdxPWjn9a1UUjF1JM6LxN\/yEVPqn\/sxrEqe9u5LqVXkPzBcfrVfNdEpXZywi1FJliI4hk5qHvT0P7t6jzRcaW5atrqeFXSJsBhzxVYmgOVJpCaXMCWpc0sganb5\/vim67AsmrTncQTjn8KgiYrMjA4INLcOZLhmY5JobTjYSTVTmXYoNZv8AwlTVZ4nThlIrSzThk8dfbrWDgmdCqtbmPjmmHrW7rOkNYWdncSKY5Jy\/7sjBAXGD+OaxDWMlZ2OinNSjzIjIpMU8im4qDS43FLtPpS4pMUhhtPpRt9eKKKADp70lFLQAlFFKAScCkAlPCepApeE929fSmdTTELtH94UuB\/epuKMUXAdj3zSUUUwHClFJSikSPWuq8BceLrX\/AHJf\/QDXKA1teG9Vj0bXYL2WNnSNXUqvXlSK0iYYmDlSlGO7TLd8f+Jhc\/8AXZ\/\/AEI1Xz71sS654dlkZzptzvZixO8c5\/Gov7X8PdtOn\/77\/wDr11qUe5wL2iXwP8P8zMpMVqHV\/D\/\/AEDZv++\/\/r1IdV8PJjdps5z6N\/8AXp80e4XqfyP8P8zGxTe9bH9seHD\/AMwyf\/vv\/wCvSHV\/DZ\/5hlxx6P8A\/XqeaPcpOp\/I\/wAP8yXxicaVoY\/6dz\/SuObk10HiTXLXVo7KO1gkijt0KYciufY\/NiueT1OnCQlCklJWev5jDSZoJppqDqFopM0c0hhS5wPek60HrxQA7efb8qN59F\/KmUUXCw7ef9n8qN59F\/Km0UXCw7ef9n8qXzD6L+VMoouFh\/mN6L+VG8+35Uyii4WJQx2N0\/Km+Y3t+VAP7tvrTKdwsP8AMb2\/KjzG9B+VMoouFkP8xvRfyo8w+35UyilcLD\/Mb2\/KjzW\/2fyplFO4WQ\/zG9vyo8xvb8qZRSuwsh3mt7flR5re35U3FGKNQ0Hea3t+VHmN6j8qZ1oo1HZEwcmHPcH0pnmN7flSx8q6+ozUdO7Ekh3mN7flS+Y3bH5UykpXY7If5re35Uea3t+VNpKLsLIk8xvb8qTzG9vypmaDRdhZDvMb2\/Kl8xvb8qZRRcLDvMb2\/KjzG9vypuaKLsdh6yMGB4\/Knykq2RjB5HFQ1L9+H3T+VNN7CaGbz7flRvb2\/Km0UrjsLvPt+VG8+35U2ii7Cw7efb8qN59vyptFFwF3n2\/Kjcfb8qbRRcY7cfb8qNx9vyptFFwHrIVYHj8qdKMEOuNre1RVLEQwMTdG6expp30GM3fT8qTd9PyoIKsQeopKTYhdx9vyo3H2\/Kmmii4xc0maTilpXAM0ZpKKBjwdwwetN49KSnff\/wB6nuAmR6UZHpSUUrgGR6UcelJRRcYuR6UZHpSUUrhcXI9KMj0P50lJmi4C5Hp+tGR6UlFFwFyPSjIPBptFFx3FOB2oyPT9aM8YNIRigBcj0oyPT9abRSuAuR6UZHpSc0UXAXI9KMj0ptFK4C5X0\/WjI9P1pKM0XGLkZ6frS8HkdabmjNFxC5HpRlfSjhunBpvekMdkelJlfT9aSilcBcr\/AHaTK+lJS0XAMj0pfl9P1pKSgBcr6GlBA7Gm0UDH5U9sUh2jjaabilB7HkUXEL8voaT5fQ0EYpKAF+X0NHyehpKKLjFynoaUFQeAabRRcB+Fbtg0nyj+E03NKGz9786L3EL8voaTK+hoK49xTaBjsr70fL6Gm0UrgOyvoaTI96Sii4WHAgdjS\/K3saZRRcLDiAOoIpPl9DQG7HkUpXjI5FHoAny+hoyvofzpM0UXAXK+ho+X0NJRSuAUU7zG9aPMb1p6ANop3mN6\/pTlZ2PFADME9qdwnu38qUyEcKc+9J5jetPRBqNyT160fhTvMb1o8xsdaNAG0U7e3rR5jetGgDaWl8xsdaerM3U4HrQIYqljTjwMD86UynovApPMb1p6C1G0opd7etG9qNAEpaXc1G5vWmAlLRuNLk0xCilFJk0oNMk3PDjFL2aRSVdIWZWB5BrXXXra8+XVrBJz3nhPlyf4GsXQOLi5\/wCvd\/5VV310RfuI46kFKo2\/I6UWWgXZH2fVZLZj\/DcxZA\/4EKkXwrcy82l\/YTr6icKfyNcx5nHanCT3p3M3Smvhl96udPJ4S1w8rZrJ\/wBc5FaoG8Ma6nXTLj8FzWLHezRfcmkX6ORVlNa1GP7l9cD6SGq5mZ+zqrqvuf8AmaI0DWVBB0255\/2KZ\/YGr\/8AQNuv+\/ZqsviTV16aldf9\/DTv+El1n\/oJ3X\/fw0KQuSt5fiWl8Oa03TTLn\/vipV8J684yNNmA\/wBrArObxDqz\/e1K6P8A20NV5NUvZM77ydvrIaXMx8lXuvxN9PCWqqQ0qwxD\/ppMo\/rQ\/hyNCWutZsIfYPvP6VzDTs3LMzfViaaHxT5mNUZ3u5fgdE0Hh625kv7i6YdVhj2g\/iaQ+ILezG3S9Pit27TSfvJP14Fc4ZD60bgTU3LVFP4m2a2u3Mt3o+mXMztJLI8xZ2PJ5WuePXNbWotnw7pA\/wBqb+YrGJJqKm\/3fkbUFaFl3f5sYRSEU\/J9aTLetZm1xmDSYqTe3rRvb1oHcjxRipN7etG5vWkFyPFGKdvb1pd7etFgGBSe1OzgYX8TQWZhyabSGJS0UUAH40UUUAFHailpgFLSUtCEOFODUzNKKZLRKGo3VHupc1VybEhPIqa4P3P92q6jcygdzU1037zA7DFUnoybaojzSFqZmjNTcqw7NNNNzRmkOwuKTaaQ0lIodsY+lGxvb86bRQA8Iw9Pzo8tvb86ZRRcB3lt7fnR5be350yj6UDH+W3t+dL5be351HmjNAaknlH2\/Ol8pvb86izRmi6FZknlH2\/Ol8lv9n86jCMR91vypfLb+435UB8yQRkRnp19aTym9V\/Ok2sI8bG5PpSbG\/uN+VMQ\/wAk+q\/nSeV7r+dM2N\/cb8qPLb+435UWH8x\/lH1X86PJPqv50zY39xvyo2N\/cb8qA+Y\/yj6r+dHle6\/nTNjf3G\/KjY39xvyo+QfMf5Xuv50nle6\/nTfLb+435UeW39xvyoD5jvKPqv50eUfVfzpuxv7jflRsb+635UAO8o+q\/nR5R9V\/Om7W\/ut+VG1v7rflQBJEpEg5X86Y0RDHlfzqS3hMkqqQQOvNS3dsqqZEz15FO143FzJSsVvLPqv50nln1X86bg\/3T+VGG\/un8qRQ7y\/dfzo8s+q\/nTcH+6fyo2t\/dP5UAO8s+o\/Ol8s+q\/nTNp9D+VGG\/un8qVgHeX7r+dJ5Z9V\/Om4P90\/lRg\/3T+VMY7yz6r+dHln1X86bg\/3T+VGD\/dP5UAO8s+q\/nUkIKtglcHg81Dg\/3T+VGDnofypLQLXJGiKsQSPzpvln1X86km+dVfByeDxUOCT0P5U2rMFcXYfUUbPcfnTcH0P5UYPofyoDUds9x+dGw+o\/Om4PofyowfQ0BYdsPqPzo2H1H503B9DRg+hoGLsPqPzo2H1FNwfQ0c0BqO2n1FG33pvPpR+BoCxO482MP\/EvDVDg06N9j5IOD1FJIoV+OVPIpvVXCw3FGKTNGagYYox70UmaA1DFLikzRn3oGFHSkzRmkBIRvGR97uKZihW2tkVMIWnIMKlieqjtTtfYCHBowadLE8LbZEKt71HQ9B2Fx9KMGkpM1NwHY9xRg+opuaM0XCwuD6ijb9KTNFAC7T7UYPqKSii4Bj3FKBxg02ii4xSpHFG36UvDDBpuMUALt+lG36U2ikA7afak2n2pKSlcY7afajafam0UALtPtRtPqKSigB2056inFd3XGajoyaLgO2H1FGz3FL9\/2b+dMPFGgDtnuKNnuKZRS0Afs9xRsP8AeFMooAds9xRs9xTaMUXQD9h\/vCjZ7imUUXQDwpHcUbPcUyl5FF0A7y\/cUbD6ikwG6HB9KaQRRoA\/yz6ijy+eopmKKLoB2z3FHl+4plFF0MlClf4hj0oMeehFRUoJB4NF0Kw\/Z\/tCk8v3FGQ3XhvWmsCDzRoA7y+eoo2e4plFK6HYfs9xRs9xTKKLoLD\/AC\/cUBMdGFMoougJCoI6jNJ5ZHem5pQ\/GGGad0xahsPqKNnuPzoK5+7zTcUhiUU\/yzThFj735UWYXQ1UzyThR3pWcY2rwv8AOhw7dgAOgpNjelADaKdsb0o8tvaiwXG0tL5b+go2N6UWYCUUuxvSnLH3YcU7MLiKuRk8L60M+eAMD0pWDN24HQU3aaBCUtG00u00AFGaXafSjafSmIKKNppcetGoBSg0nNLTQmKKcKaM0opolmzoJxcXP\/Xu\/wDKqW6rehHFxc\/9e7\/yqln+VbX9xGNvffyHZpQ1RZpc0XCxLupd1RZoBouKxLupd1RbqM07i5SXdRuqLdRmi4cpJuo3VHmjNFwsSbqM1HmjNK4WNbUDnw9pP+9N\/MVj1sXoD+H9JG8DDS9fqKzPJGP9an505pt\/cTSaUfm\/zZDSVY+zqf8AlvHTvsiH\/l4iqeRmt0VKKt\/ZU\/5+YqPsif8APzF+dHIx8yKlFXPscf8Az9Q0n2SP\/n6io5GHMipRVz7HH\/z9RUn2SP8A5+oqORhzIp0Vc+xx\/wDP1FSfY0\/5+oaXIw5kU80uat\/Y0\/5+YqcLNM5NzFge9Hs2HMipwq8jJNG72FWjaqxybmH86T7Gn\/PzFT5GHNEq7vYUZ9qs\/Y0\/5+YqX7JH\/wA\/UVLkkF4lXNGat\/ZE\/wCfmKj7In\/PzFRySDmiVaKtfZE\/5+YqX7In\/PzFT5GLmiVRTqsfZYR965THtR5lvD\/q1Mj+p6UcvcV77Cxr5EZlf7x+6KrsxJJPU0PI0jbmOTTKG+iBR6sM0UlFTcqwZoozRn6UgENFFH40DCkzWla2cUlsHfJZ84welU2gCSshkUbTjmqcGlclTTbXYhoqXyl\/57JSeUv\/AD2Slysq6I6Kk8pf+eyUvkr\/AM9Y6OVhdEXenxxSSthFz71Mv2aMZkZpD6KMCkkvHZdkaiNPRetOyW7C7eyJPItoP9dJuf8AuJSG8ROIYEX3NU+lGRRz22DkvvqWvt83+yP+A0fb5\/Vf++aqUUueXcOSPYtm\/n2g7h+VH2+f+9+lVj9xabmnzy7hyR7Fv7fP\/e\/Sj7fP\/e\/SqmaKXPLuHJHsWvt9x\/e\/Sj7fcf3v0qrmjNHPLuHJHsWvt8\/94f8AfNH2+f8AvD\/vmquRS0c8u4ckexZ+3T\/3h+VJ9um\/vD\/vmq2aM0c8u4ckexZ+3T\/3h\/3zR9un\/vD8qrZozRzy7j5I9iz9tn\/vD8qT7bP\/AHh+VV80maOeXcOSPYsreyg5yD+FPnu5DtxgAjNU6kc5iQ+mRRzu24uSN72H\/apR3H5U4X047r+VVs0UlOXcfKuxZ+3z46r\/AN80fbp\/VfyqtmkzT55dw5F2LX26f1X\/AL5pPt0\/qv8A3zVbNGaXPLuPlXYs\/bp\/Vf8Avmj7dP6r\/wB81WzRT55dw5V2LP2+f1X\/AL5o+3T+q\/8AfNVs0Zo55dx2Ra+3z+q\/980fb5\/Vf++aq5ozRzy7isXYruVyVyu7GRxTPt8+eq\/981WVijhh1FPnGH3D7rDIp+0lbcLWZN9vn9U\/75o+3z\/7H\/fNVM0Zpe0l3GWzfz\/7H\/fNJ9vn\/wBj\/vmq2aSj2ku4Fr7fPn+D\/vmj7fP\/ALH\/AHzVXPNGaPay7jLX2+b\/AGP++aPt8\/8Asf8AfNVaKPaS7hdlr7fN6R\/980fb5v8AY\/75qrmijnl3C7LP2+b0T\/vmpEvZZAVxHu7fLVKgEggjrTVWXcLss\/bpu6x\/980fbpP7kf8A3zUcuGAkUdeo96izQ5yXULtln7dJ\/cj\/AO+aT7dJ\/cj\/AO+arZozS55dx8zLP22T+5H\/AN80n2yT+5H+VV80maOeXcd2WPtb\/wByP8qPtb\/3E\/Kq5opc8u4XZObpz\/An5Ve0u5Vi8TbFZsEds+1ZWaDzVQquMrjjJp3NjVpAsKIdpfdwPasnzD6LTkYMvlt\/wE+lRkFTg9aKlRzfMDldimT2FG856Cm0VndiHbz6Ck3+wpvWildgO3ewo3+wptFFwHbz6Ck3ewpKSi4x24+gpN3sKSii4C59hTgwPB\/Om4pDRdiFIIODSU4HI2t09aCmO4ot2AbSU7b\/ALQo2\/7QpWGNop23\/aWk2\/7S0rAJSU7b\/tLRs\/2losAlJmnbf9paNv8AtLRYBtPBDcHr60mz\/aWjb\/tLRqAhGDg9aSpMBhgkZ7GmlMdWAosFxtFO2\/7S0m3\/AGlpWYxKKXb\/ALS0bf8AaWiwCUUu3\/aWjbz95aLAJRS7f9pfzo2\/7S0WYDacGzw1G3\/aWjb\/ALS09QBlxz1HrTe1PAx\/EuPSl2A\/dYfSiwXI6KcUI7ijb\/tLSswuNop23\/aWjb\/tLRZgNpyvgYPI9KNv+0tGz\/aX86LMAK5GVOR6d6bTtuOQ6\/nTiFYclQfanYLkdFPMZHVlFIU\/2lpWYXG0U7b\/ALS0bf8AaFKzC42jNO2\/7S0bP9paLMLjQcU7zD7flRs\/2lpNv+0KeoaDtwT7vLetMzk80UUN3ASlxSUtAwoxRmigAoop4AA3N+AoECrxubgUM24+g9KaWLHmkouAtJRS0AFFFFAC0uaSincQuaWkooAXNLmkopiHZpRTaUUxGxohPnXH\/XB\/5Vnk8ip9Lu1tLxXkGY2BR\/oasXWmyJ+9t\/30J5V05\/OtlrDQxdozd+pQzRmkPHXIPoRRmpuOw7NGabRRcLDs0uaZmlzTFYdmjNMzS0rhYdmjNNoouFh2aXNMOOgq3bWFzdMPKjbH948AU1d7CdluW9QP\/Ei0r\/el\/mKyj96tHVpoxBaWcLiQW4O5x0LN1xWWTk05vUKcfd+\/8xc0maTNGTWdyxc0ZpuaKAsOzRkU2ii4WHZ9qXIplGaAsOyPSjNJmjNAC59qcxwu386RB1Y9BTScnNMYtLn2puaM0hDqKbmlzTAdRkU3NLQAtHGaSigQ7NGabRRcLDs0U3NGaAsLmkozRQAUUlFIBaSjNJQOxYjuZYI9qOQDzUJOSe9LIfmx6U3Ipt9BJdQopKM0hi0U2jNAC5ozSZopDFzRTaXr2oAKcBmkwB159qQsTTAkY7VXoabvPoKH+4lMobBIfvNG898UyjNK4WH7z7UbzTKKLhYfvNG8+1MoouFh28+1G403NGaLjsLn6UmaSii4C5ozSUUXAXNSKcxMPQ5qKpIjliv94YoQMZRSUmaAsOzxSUmaDSHYWgdaSii4WJH28baZSUU7hYXNFJmjmkAuaM0lFFwFqYfvLcj+JOR9Kgp8T7JAe3Q00waGZpetOkTZIQOnamUtgDNFFJQAtFJRmgBaKTNGaAFopM0UXAWikoouBJG4UkN908GkddjYP4UzvUo\/eRY\/iXp7invoGxHxScUUlK4xeKMj3pKKLhYXj3o496bRRcB3FHFNoouA6pM+av8Atj9ahpQ2DkHmi4WCjinsN6716\/xCo6NgF4o4pKTNK4x3FHFNoouA7IpPl96Sii4C\/LR8tNoouMd8tHHvTfaii4DuKcGGMHpUdFFwsOZcU2nKwI2t0pGUg+3rQ+4DelBooqRi0lFFABRiikNAC0UlGaAFp4YMNrfgaZR2ouArLtPNN\/Knq38J5FIy49we9ADaKKKBhRRRmgAooooAKKTvS5oAKKTtRQA\/cDw350hUj3HrSdqUEj6UXEJRTiMjI\/Km0ABoooNAwooooAUNgYPIoZeMryKbxSgkHilfuAlFPwG6YDelNIIPvRYBKKKKYBRRR+NAD8R+ppMR+pptFK4WHYT1NLhPVqZRTuFh+E9TRiP1am4JOKfgR+7\/AMqLiHYRCCSSfSmnaTksaZ15NFFwSH4T1NJhM9TTaKLgOwnqaMJ6mm0UXAd8vqfypfk9TTBS0XAd8vqaPl9TTaKdxDvl9aX5fWmU4DAyenp60AO2jGc8UlITmincQtLTaXNADs1Yt7ya2bMUrIfY8VVzS5pptbCaT0ZrjWncYnggmHqVwaPtWnycvZsh\/wBh6yc0Zq\/ay66mfso9NDW3aS3e4T9aTZpZ\/wCXmUfVazM0mRT9p5IPZ+bNbydM\/wCftx\/wCk8jTf8An8b\/AL4rKzS5FHtF2F7N\/wAzNTytM\/5+5D\/wCl8vSh1uJT9FrL4A96Min7TyQez82ahbSV\/inb9KPtWmJ92zkf8A3nrKz7UZpe18kHsl1b+81f7XEYxBaQx+5GTVe51O6uRtkmbb\/dHAqlmjnrSdST0uNU4p3sLnijNJSZqSrDs1YhWAxOZGw3aq2aKE7A1ck\/d+rUfuvVqipc0XCxL+6\/2qMxf7VRZoouFiX91\/tUfu\/wDaqKincLEv7v1ageWT\/FmoqkTgF\/TpRcTQ9\/LHy5bim\/u\/9qo80lFwsS\/uv9qj93\/tVFS5pXCxJ+7\/ANqj93\/tVHRTuFiX93\/tUfu\/VqioouFiX936tS\/uvVqYiGRtq9aJEaNirDBp+YeRJ+79WpY\/JLjcWxUGaKLi5SxN5Qf5DxUeV96jzRzSbBRH5X3o+X3pmaKLjsPynqaTK+9NpKLhYflfelXaWHWo6evCsfbFCCwpKnJ5pMr70yii4WH\/ACe9Hye9MzRmi4WH\/L70mV96bRSuFh+V96T5femUUBYd8vvRmm0e1Fx2FzRmm0tILEj\/AHI\/pUdPf7kf0oSJnBP3V\/vHpTBDetSiHaMyMEHp3o81YxiIZP8AfbrUJJJyTk+9GiDVku6AdEY+5NJui\/55n86ioouFiXdF\/db86XdF\/wA82\/OoaM0XCxJvi\/un86XdF\/cb86ioouwsiXdD\/wA82\/OjdF\/cP51FRRzBYl3Rf882\/Ok3xf8APM\/nUeaKLhYl3Rf3D+dKrxqwOxhz61DmkzRzDsWJfKWQgox79aZuh\/uN+dJLyEbPUVHQ3qCRJuh\/uN+dLuh\/uN+dRUfjSuFiXdD\/AHG\/OjdD\/cb86ipPxo5gsTbof7jfnRuh\/uN+dRUUcwWJN0P9xvzo3Q\/3G\/OoqKLhYm3Q\/wBxvzo3Q\/3G\/OoqSjmAm3Q\/3G\/OjdF\/cb86hop3HYssUeINg\/LxUW6P+6350sLDftJ4YYNRsCrEHqKG+okug\/dF\/db86N0X91vzqOildjsSbov7rfnRui\/ut+dR0UXCxJmP+6350Zj\/ALrfnUdFFwsSbovQ\/nRmP0ao6M0XCxJmP+61GY\/7rVFRRcLEu6PHRvzoV0VgQG4qKii4WJ5AgIbBw3PFNzH6GiIhgY26HofQ1GQQSD1FNvqCXQdlPRqTKZ6NTKKm47D8p6NS5T0ao6KLhYflPRqMp6NTKKLhYf8Au\/Q0fJ70yii4WJFdFORupzKmNwBwf0qHNPjfGQ3KnqKE+jCwfJ\/tUYT\/AGqR02H1B6Gm0XAd+796Pk\/2qZRRcdh\/ye9Hye9MopXCw75PU0fJ6mm0lFwsP+T3o+T3plFFwsP+T3o+T1NMoouFh+E9TS7lxjkio6KLhYkKKBnnFN+T3oViODyPSh128jlT3p+gB8nvR8nvTO9FTcdh3ye9Hye9NoouA75Pej5Pem0UXCw75Pej5PU02ii4WHfJ70oZQMckHtTM0UXCxIVUAHJwab8nq1IrEcdR6UMuORyKLhYXCepownqabRRcB2E9TRhP9qm0UXAdhPejCf7VNoouA7Ce9GE9TTaKLgOwnqaMJ6mmUUXHYeNo5BNL8jH0NR0UXFYeQo4OaPk96QHjDcikKke49aAHYj\/2qPk9TTKO9K47D\/k96MJ6tTKKLhYf8nq1OypGCSaiop3FYkKqO5pPk9TSBse49KCuRleR6UegWFxH6mjCetMoouFgop2E\/vH8qMJ\/eP5UrDG0qqWOBTlVCcAt+VKSgG0Ej8KaQXE3BOE692ptLhP7zflRhP7zflQMSinYT1P5UYT+8fyosSNop2E9T+VGE9W\/KiwDaKdhPU\/lRhP7x\/KiwDaKdhP7x\/KjCf3j+VFgG0U7CerflTwqAbiSR9KdguNC4G5unYetITuOTTiUY5LH8qTEf95vyoENpadiP1b8qMJ\/eb8qAG0tL8n94\/lR8n94\/lQAlGaXCf3m\/Kl+T+8fypgJS\/jR8nqfyo+T1b8qBBmjNL8n94\/lR8n95vyoAM0q+p6UKqE43H8qcxXpuPFOwhhOTRmj5P7x\/Kj5P7x\/KgAzRml+T+8fyo+T+8fypWATNGaX5P7x\/KjCf3j+VOwCZpc0YT+8fyown94\/lQAlGad8n94\/lR8n95vyoAbRTvk\/vN+VGE\/vH8qAEpKdhP7x\/KjEf94\/lQISj8aXEf8Afb8qMR\/3j+VAxKfJ8oCZ6daVAgBfcePamfL\/AHz+VPoISjNL8n94\/lRhP7x\/KkAlLS4T+835UYT+835UwEopcJ\/fP\/fNHyf3j+VFgEpaMR\/3z+VHyf3z+VADkdkbcpwRSszyuWYgn3NM+T++fypfk\/vH8qBC+W3qv50vlt6r\/wB9U35P75\/Kj5P7x\/KjQB\/kt\/fT\/vql8hv78f8A33UeE\/vH8qXEf98\/lT0Ak+zt\/wA9Iv8Avuj7M3\/PSL\/vuov3f98\/lR8n98\/lS0DUl+yn\/nrD\/wB90fZW\/wCekX\/fdRfJ\/fP5UfJ\/fP5U9A1Jfszn\/lpF\/wB9ilNuwj\/1kfJ\/vVD+7\/vn8qdJ5Ywu4jA9KegajvsxP\/LSL\/vul+yt\/wA9Yv8AvsVDiP8Avn8qMR\/3z+VK6HqTfZW\/56Rf9\/BR9lb\/AJ6Rf99iovk\/vn8qTEf98\/lRdBqT\/ZH\/AOekX\/fYpPsr\/wDPSL\/vsVDiP++fyo\/d\/wB8\/wDfNGgrMm+yv\/z0i\/77FJ9lf\/npF\/32Ki\/d\/wB8\/wDfNL+7\/vn8qNB6kv2V\/wC\/F\/33R9lf\/npF\/wB9iof3f98\/lR+7\/vn8qLoNSYWj\/wDPSL\/v4KPsj95IR77xUOI\/75\/KjEf98\/lRddvxDUsOYoggGJGA69qgkkaQ5Y5\/kKVgmE+Y9PSm\/u\/7x\/KhsSVhtFOxH\/fP5UmI\/wC8fyqRiUUu2P8Avn8qMJ\/fP\/fNFgG0Zp2E\/vH8qMJ\/fP5UDG0U7Ef94\/lRhP75\/KgQ2inYT++f++aMJ\/fP\/fNAxtFOwn98\/lRhP75\/KgBtFLhP75\/75pcJ\/fP5UAL1hHsajqVQu1lDE5GelMwn94\/lQwQ3NFOwn98\/lSYTH3j+VIBM0lOwv94\/lRhf7x\/KgBM0madhf7x\/KjCf3j+VAxM0UuE\/vn8qMJ\/eP5UAJRS4T++fyowv94\/lQA3NFOwv94\/lRhf7x\/KgBKlm+dVk9eD9ai+X+8fyqSPaylNx56cU12E+5F+NFOwv94\/lSYT+8fypDEopcL\/eP5UYX+8fyoASilwn94\/lRhP7x\/KgBKOKXC\/3j+VGF\/vfpQA2inYX+8fyowv979KBjaKXC\/3v0pcL\/eP5UANBwalb97Hu\/jXr70zC\/wB4\/lTkZUbIb9KaEyOipHRQc7uD04puF\/vfpSsFxtJTsL\/e\/SjC\/wB79KQxtFO+X+8fyo+X+9+lADaKX5f7x\/Klwv8Ae\/SgBtFOwv8Ae\/SjC\/3j+VAD0YMNjdOx9KjYFSQeopcL\/eP5U\/5ZAFz8w74p7hsQ5ozTtq\/3j+VGF\/vH8qVgG5oNOwv979KML\/e\/SiwDaKdhc\/e\/SjC\/3j+VFhjaKdhf736UmF\/vfpRYBvelpcL\/AHv0owv979KQDc0Zp2E\/vfpRhP736UWAbTlbGR1U9RRtX+9+lGF\/vfpRYAZdvTkdjTakBUAjdkfSkKKOpptBcZQadhf736UYX+8fypWAbiilwv8Ae\/SjC\/3v0osMSinYX+9+lJhf736UWEJRS4T+9+lGF\/vfpRYBDShtv07ijC\/3v0pcL\/e\/SiwCMoxuXp\/Km08bQchv0pdqtkg\/hTsFxmKTFPwv979KT5f736VNgG0U7av979KNq\/3v0osMbRTsL\/e\/Sjav979KLBcbRT8L\/e\/Skwv96iwXG0U7C\/3v0owv979KLANpQdvuPSlwv979KML\/AH\/0p2ACoIyv5U2nAKDkPTsKx+9zRYVyOin7VB5b9KTav979KVh3G0U7av8Ae\/Sjav8Ae\/SiwDaUEg8cUu1f7\/6UbV\/vUWAMhvY0bTRhf71OBAGN1OwiKlVSxpQueTwPWgt2AwKXqUKzADC9PX1ptJRQIWikpaAD60UlLQAUtJRQAtFJRRcBaKSnAdz0oAVV4y3SkZtx9B6UFs+w9KSmIKBRRSGLmjNJRQIXNFJRmgBaKKKYBmlpKKLgLSimmpE4G4\/hTQh33F9zUdBJJyaShsQtFJRQMWjNFFAgpaTNGaAFzRSZozQAtFJRQAtFJRQAtGaSigBaBmkp6cAt6dKaAdIcYUdqZmm570UXCwtFJmilcB2aM0lJTCw7NGaSigBaKSigBaKSigBc0ZpKKLgLmikoouAtFJRQAtFJRQA9BudR70jtucn1NEfDFvQU00dBdRaTNFFK4woooouAUZoooAKKTNGaAFopKKAFpabS0ASP0T6VHTn6L9KbTYkFFJRSGLRSUZoAWikzRQAtFJRQAtFJRQAtFJRQAUtJmii4D4z849+KaeDikBwadJ97jvzT6B1G96M0UZpDsFGaSigLC0UmaKAFopKKQC0UmaKAFzRSUUALmgHaQR2pKKdwJJPvbux5plPHzRle45FR033EgpaSkqRi0UUUAFFFHei4BRSUUALR3pKKAFopKKBk0bZGxjwelRMCrYNJ0qQ\/vEz\/ABCq3FaxHRRRUjCiiigAopDRmgBaO9JmikAtAP4GkopgSH94u4feHUVGaUMVbIpzAMNy9O49Ke4bDKKKKQBRRRQAUUlFAxTRSUdqQC0UlFAC0ZpOaKACnK3GD0ptFFwHFdpptOVux6UMuPcetMQ2ik\/Cl7CkUFFFFAgopKWgAooooAKUEg5B5pKKYDyA4yOG7imUdKd9\/no386NxjaKOnFJSELRSUUAHajNFLQMKSijmgQZozR2paBidKWkzRSAkDAjDfnTSpU02nBscHkelO9xCUClK915FNpALRRSUAH4UUUUAPIZvTHYZpPLPqPzptFMY7Yfb86Nh9R+dNoo0AdsPqPzo2H1H502ijQB+w+350bD6j86ZRRoIfsPqPzo2H1H50yii6Afsb2\/OjYf9n86bSqoxlun86BjhH3OMfWhgWPbHpmmk7v8ACkFO6AdsPqPzo2HHUfnTaKNBDtje350uxvUfnTKKAH7D6j86Nh9vzplFGgD9h9R+dGw+o\/Om0UXEO2H1H50bD7fnTaKAH7D7fnRsPt+dMpQNxwKYD1jJPPT60rBmPbH1prkAbR0HWm09tBDth9R+dLsb2\/OmcUZpXAfsPqPzo2H1H50yii6AfsPqPzo2H1H50yii6AfsPqPzo2H1H50yigCTYfUfnRsPqPzqOigB\/ln1H50bD6j86ZRQA\/Yfb86XYfVfzqOigB+w+350bD6j86ZRRoBIEPqPzpzKcBQRge9Rr1z6Uh5NO4WH7D7fnRsPqPzqOlpAP2H1X86Nh9R+dMpKNAJPLPt+dGw+o\/OmUUAP2H1H50uw+q\/nUdFMCTYfUfnSbD7fnTaKV0If5Z9vzpNh9vzptFO6AdsPqPzo2H2\/OmUUaDH7D6j86Nh9vzptFF0IdsPqPzo2H2\/Om5pM0rjH7D6j86Nh9R+dNzRRcCQKQjdMn3puw+350McIo\/Gm0xDth9vzo2H2\/OmUUhj9h9R+dGw+3502igQ7Yfb86Nh9vzptFADth9vzo2H2\/OmUUDH7D7fnRsPt+dMooAfsPqPzo2H2\/OmUUwJWUkL06etN2N7fnQ3b6Uyi4kP2n2\/OjY3t+dMoouMfsPt+dJtPt+dNopAP2H2\/Ok2n2\/Om0UAO2n2\/OjYfb86bRQA7a3t+dG0+3502igB2w+350bT7fnTaTNAD9p9R+dG0+350yloAdtPt+dOZSVXp6daixThyh9uaLgG0+350bT7fnTaKAHbT7fnRtPt+dNooAdtPtRtPt+dNooAdtb2\/Ojafb86bRQA7afb86Np9vzptFADtp9vzo2n2\/Om0UAO2t7UbT7U3FGKLgPUFWzx+dK6fNxjFR07O5MdxTuAbT7UbT7fnTaKVxi7T7fnRtPt+dJRSAXaaNpptLQAu0+1G0\/5NJSUXCw7afajafakooAXafb86NpptFAWHbT7Uq5Vs8UyigCR15yOhpmKVG\/hPQ0jDacU33ANpo2mkopALtNG00lJ2oAdtP+TRg0gooGLtNG002ijQB2DSqSD7U2koEPK46dKTaaFII2npSEYODQAbTSbTRRSGLg0YNNpaLoBcGjBxSUUALg0YNJRRdALtP+TRtNJRQAu00bT\/AJNJRQAuDSg44PIpmKOtAx5XHPUUmDQG4welIwwf60wDBowaKKQgwaMGkooAXBpcGm0UALtNGDSUUAOwaTBopKAH\/e69fWkKkE02nBuzcijcYmKTFOYY9x603vQAuDRg0lFLQBcGjBpKKNAFwaNppKKNAF2mjBpKKNAFwaMGkoo0AcAwPFLjd7GmUU7iFwc0Y4pQ2eG\/OkIx9PWgYYNGD7UlFIAooopiCiiikMKKKKYgooooAKKKUDP0pAKBnk9KQnNBOaSmAdKBRRQMOtAozRQAtHNFJ0oELRSZooGLRRRQIWiko7UALTwdg\/2jTRxzSE5OaYgo70UUgDNFBooGFFFFAgoozRQMKWkooEGaM0UUALRSUUALSUUUAFHeinL6+lMAPAxSUnvRQAtFJRQAtFJmgUALRRRQAUUUUXAKKKKACiiigAFLSUUCFopKKACjNFFAwzS9aSlX7wpiHOfm+lNpCcmigAooopXGGaWkoouAUGiii4BRRRQAUZoooAWikooAc3b6U2lPb6UlMQdaKKKVxgaKKKLgHaiiigAoooouAUUUUAFFFJQAtFJ2paACnL3HqKZSg4YUAFFB60lAC0UUUAFFJRQAtFJRQAtFJRQAtJ3oooAWikopAFKDg5pKKYCkYPtSGl7UlABRRRSGFFFFABRRmjNABRRR3oAKKSigBc0UlFABT\/vL7imUoJBzTAKO9K3qOhptABRRRSAKKKSgBaKSjpQAtFFJ70ALT\/vj\/aH61HmlHFCASlpx+YZHXuKZQAUGiigBaSiigApaSigAxS0lFAwooooEFFFFABTgeMHpTaKAFIwaSlB7HpQRigBKKKKQBRRRTAKKKKACiiigAooopDFDY+lDLjkcikpQcfT0pgNpaUjuOlJSAKKKTtQAtFFFABScUGigBaKSigApaKKAClBx9PSkpKAHkA\/d\/Km0d6XcO45oAPl9DRx6Gm5pc0ALlfQ0ZHpSUU7gL8vpR8vpTc0tFwF+X0NGV9KSii4C8elKWHpTaKLgLx6UZHpSUUXELx6UcelJRRcBePSjj0NJRRcYvHpRx6UlFAhcr6Uvy+lNooGOyuOlGR6GkpM0XAd8voaMr6Gm0UXEPLA9jSZHoaaaWmMXK56GjK+hpKOaVxC8elGR6Gm0UXAdx70fL6UmaXNFxBkehpfl9DTaKYxcj0NHHpSUUCF+X0NGR6UlKKAF49KOPQ0lJ2oAd8voaOPQ02igB2V9KUkdMU2g0XAXj0NHHoaSkoAdx6UcelJRmgBcj0o49KTNFAC8elHy+lIaKAF49KOPQ0lFAC5X0oyvpSUUALx6UvHoabRQAuR6UuR6U2jNADsj0NGRjoabRmgB3HoaOPQ02igB3HoaUEAE4plL2FAC5HoaMj0ptFAC5HpRkelJ2oNAC5Hofzo49DSUUALlfSjI9KSigBcr6UZX0pKKAF4x0o4z0pKKAHZHpRkehptFADjj0pMj0pKKAF49KMr6UlFAC8elHHpSUUALlfSjI9KSjNAC5HpRx6UlFAC8eho49KSigBcj0o49DSUUALxjpRx6UmaKAFyvpRlfSkpO1AD2xnpScelB7UlAC5X0o49DSZooAXK+lHHoaSigA49KOPSiigA49KXj0NNooAXI9KOPSkooAXj0o49KTtRQMXj0oyPSkooEOyB2pMj0pKKAF49KOKSigBePSjj0pKPWlcYvHpRx6UlFMBcj0oyPSkooAXj0o4pKKVwFyPSkyPSkFFFxjsj0oyPSm0fjRcQ8EdD0NIcA4xTTTuo+lMYnHpS8U3NFIBcj0oyPSikNFwF49KOPSkooELx6UcelJRQAvFHHpSUUAODAHIFBxTaKAF4o49KSii4BxS8e9JRRcYvFHFJRRcQvHpRxSUUXAOKOKKKLjDil4pKKLgHFLx6GkoouAvHpRkelJRSEOIGMgU3j0oBIpSOMjpTGHHpScelJmlpALxRxSUUALxRxSUUCF49KTiikzQMXil4ptFADsgUHFJSUALxS8elN7UUALxS8elNooAXil49KaKKAF4o4pKKAHcelHFJRQIOKOKSl70DDil49Kb2paADtSUUUAFFFFAC0d6KKAEpe1FFAB3ooooAKKKKYgooooAKKKKACiiigApaKKAE70tFFAwNFFFAhKOtFFAxaKKKBBRRRQAUlFFAC0lFFAC0UUUAFFFFABSmiigBKKKKAClzRRQAlFFFABR2oooAKWiigApO1FFAC0CiigAFFFFABRRRQAUUUUAFFFFABRRRQAUpNFFAhOaKKKBhRRRQAUUUUAFFFFABRRRQAUZoooAKKKKBAaKKKBhRRRQAUUUUAFFFFACd6WiigAooooAKTvRRQAtFFFABRRRQAelFFFABSdqKKAFpKKKACjtRRQAUtFFACUUUUALSUUUAFFFFABRRRQAUUUUAHeiiigAooooAKTNFFAwpaKKBCUUUUAH4UUUUAApelFFAwxnpSYoooYgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKQwooooEFFFFMApO9FFAxTQKKKQBSUUUALQCQaKKEAEdx0pO1FFAxaKKKZIgooopDDFHeiigYUtFFAgpKKKACiiigBaSiigAooooAKO1FFAB2paKKAEooooAXtScUUUAf\/2Q==\" style=\"width: 624.00px; height: 416.00px; margin-left: 0.00px; margin-top: 0.00px; transform: rotate(0.00rad) translateZ(0px); -webkit-transform: rotate(0.00rad) translateZ(0px);\" title=\"\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Clear waterfall charts help teams explain how results change over time. This guide compares Excel, Google Sheets, and Power BI, then looks at add-ins such as Zebra BI and think-cell for advanced financial reporting.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">You will see where each option fits, from quick collaboration to governed analytics. We also cover design practices that reduce clutter, highlight key movements, and prevent misleading scales.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Finally, a step-by-step section shows how to structure data, set totals, and refine visuals. The goal is simple, choose a tool that fits your stack, reporting cadence, and audience, then build charts that tell the truth.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.os008yopxd31\"><span class=\"c8\">Tool for waterfall chart reporting<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Your specific reporting needs and technical environment will determine the best waterfall chart tool for you. Let's get into the options and find what works best for your situation.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.xbezgerysy5j\"><span class=\"c8\">Overview of Excel, Google Sheets, Power BI<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Microsoft Excel comes with built-in waterfall chart features in versions 2016 and newer. The simple implementation works well for basic scenarios but has limitations with complex data.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Excel doesn't deal very well with features like stacked waterfall charts that many finance professionals need. In spite of that, many occasional chart creators prefer it because they're already familiar with the platform.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Google Sheets makes creating waterfall charts simple with minimal setup needed. You just need to put your labels in the first column and numeric values in the ones that follow. The tool takes care of connector lines and color coding automatically, which makes the whole process easier. The downside is that it's nowhere near as customizable as specialized tools.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Power BI takes waterfall visualization to the next level. Users say that \"waterfall charts show a running total as Power BI adds and subtracts values\". The built-in Power BI waterfall chart works well for standard reporting but runs into issues with advanced needs like showing values in a ladder-like progression.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.e3gx4nkdgsc3\"><span class=\"c8\">Benefits of using Zebra BI and other add-ins<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Add-ins take waterfall chart capabilities to new heights. Zebra BI turns standard Excel and Power BI charts into professional financial visuals. Users can create advanced waterfall charts in just three steps instead of ten with Zebra BI for Office.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">The add-in figures out relative and absolute variances without complex DAX formulas. It also explains differences between starting and ending values. One finance team reported they \"cut report preparation time in half\" using Zebra BI.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Think-cell does the same for PowerPoint, helping users create industry-leading waterfall charts with better functionality. More than 1,000,000 users across 25,000 companies use this add-in to save hours on chart creation.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.pdnqd46gj7tc\"><span class=\"c8\">Best practices for building insightful reports<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Clear waterfall charts require more than just good formatting, they need honest data storytelling. Let's get into how we can create reports that inform without misleading.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.jl4gwmks8ds7\"><span class=\"c8\">Avoiding clutter and misleading visuals<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Good intentions often lead to confusing reports. Charts with too many bars create visual noise that clouds your message. Your visualization should focus on the most important contributors while grouping minor items into an \"Other\" category.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Axis scaling needs careful attention. Small differences can look dramatic with truncated y-axes. Uniform scaling shows trends accurately. Your data story gets distorted when chart dimensions stretch or compress, so keep those aspect ratios consistent.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Colors should help, not hinder understanding. Use no more than 3-4 colors total and stay consistent, one shade for expenses, another for revenues. This disciplined approach makes charts easy to read.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.cbcv9bt349i0\"><span class=\"c8\">Highlighting key changes and trends<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Start and end points deserve special attention. These points are vital context for understanding your data story. Different patterns or colors for these columns can help them stand out.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Labels turn good charts into great ones. Waterfall columns without a common baseline make size comparisons difficult without clear labels. Restraint matters, though label only the key values to keep things clear.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Thin, light connector lines guide viewers through your chart's story. They shouldn't compete with your data.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.q794z86iuvq0\"><span class=\"c8\">Arranging the chart design with reporting goals<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Your chart starts a visual conversation with your audience. The title should reveal the key message instead of just describing the chart.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Detail levels should match your audience's needs. High-level clarity works for senior executives, while operational teams need more detailed breakdowns.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Watch out for misinterpretations. Everyone brings their own biases and industry experience. The best waterfall charts include helpful annotations that guide understanding without explanation.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span>Complex reporting might need specialized tools like <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/www.google.com\/url?q=https:\/\/zebrabi.com\/creating-advanced-power-bi-waterfall-charts\/&sa=D&source=editors&ust=1765238214757642&usg=AOvVaw3TsCWcvmddUKaNSkg39sFN\">Zebra BI waterfall<\/a><\/span><span class=\"c1\">\u00a0to tap into the full potential of waterfall visualization with features built for financial analysis.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.vi5x0mz20mqs\"><span class=\"c8\">How to create a waterfall chart step-by-step<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Making a waterfall chart is simpler than you might expect. The right tools and approach will help you turn raw data into visual stories within minutes. Here's how to break this down into simple steps.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.lg4r5keoe3ug\"><span class=\"c8\">Prepare your dataset<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">The foundation of a good waterfall chart starts with well-organized data.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">You need two simple elements:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_6fqcpd6i03gh-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Categories\/Labels: These appear on the horizontal axis and identify each data point<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Values: The numerical data showing increases or decreases<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">Your data should show a clear starting value, changes (both positive and negative), and an ending value. Financial reports might start with net income, show various adjustments, and finish with ending net income.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">A good example is tracking monthly banking transactions. Start with an opening balance, list transactions, and show the closing balance.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Excel users don't need complex calculations beforehand. The =SUM() formula works for your total column to reflect changes in other values automatically. Just skip the subtotal columns from this sum to avoid counting values twice.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.2iz2x4lfzxy7\"><span class=\"c8\">Insert a waterfall chart in Excel or Google Sheets<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Adding the chart becomes easy once your data is ready.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">In Excel:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_xfoqtqnabm3g-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Select your data range (use Ctrl\/Cmd for non-adjacent columns)<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Go to the Insert tab<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Find the Waterfall chart in the Charts section (it looks like a modified column chart)<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click to add the chart to your sheet<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">In Google Sheets:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_gtsfk13nzrxd-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Select your data<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Go to Insert > Chart<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0From the Chart editor, select Waterfall under chart types<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">Google Sheets users who want more control can create a manual waterfall chart:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_1s13jdzbapp8-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Create a new table with columns for Base, Endpoints, Positive, and Negative<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Apply specific formulas to calculate values for each column<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Create a stacked column chart<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Make the Base column transparent<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">Google Sheets handles the technical aspects like connector lines and color coding automatically.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.1mnae8qa5k2x\"><span class=\"c8\">Set totals and adjust chart elements<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">The basic chart needs refinement to make the data stand out.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Excel totals and subtotals work this way:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_u92blzo0jbhf-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click once on the total column (like ending balance)<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click again to focus on that column<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Right-click and pick \"Set as total\" from the menu<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0You'll find the \"Set as total\" checkbox in the Format Data Point pane<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">This step is vital as it anchors total columns to the baseline instead of showing them as floating changes.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Google Sheets makes subtotal setting simple:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_aw0cyoszq9bk-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Open the 'Customize' tab in the chart editor<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Click 'Series' to expand options<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Check 'Use first value as subtotal'<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Add more subtotals using the button at the bottom of the section<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">Your chart will look better if you:<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><ul class=\"c4 lst-kix_3ru1m2nq1td4-0 start\"><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Remove unnecessary gridlines, legends, or axes<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Write a descriptive chart title<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Pick colors that create visual impact<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span class=\"c1\">\u00a0Add or remove data labels based on data density<\/span><\/li><\/ul><p class=\"c3\"><span class=\"c1\">Advanced waterfall visualizations in Power BI are covered in Zebra BI's guide to creating advanced Power BI waterfall charts.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">These adjustments will help you create a powerful visual tool that tells your data story clearly. Your reports will be easier to understand at first glance.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><h2 class=\"c0\" id=\"h.deaym9sb8u9r\"><span class=\"c8\">Final words:<\/span><\/h2><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Pick your tool by need, not buzz. Excel and Google Sheets handle quick builds and team sharing. Power BI connects data sources and supports dashboard workflows. Zebra BI automates variances and follows IBCS rules.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">Think-cell speeds polished slides with stacked waterfalls inside PowerPoint. Whatever you choose, keep visuals clean, label only what matters, and use consistent scales. Start with sound data, set clear totals, and write titles that state the takeaway.<\/span><\/p><p class=\"c2\"><span class=\"c1\"><\/span><\/p><p class=\"c3\"><span class=\"c1\">When tools and practices align, waterfall charts become dependable explanations of change, helping leaders spot drivers, compare scenarios, and act with confidence.<\/span><\/p><h4 class=\"c10\" id=\"h.thzxswof9obb\"><span class=\"c11\">More must-read stories from Enterprise League:<\/span><\/h4><ul class=\"c4 lst-kix_6c97abb4jj1-0 start\"><li class=\"c3 c6 li-bullet-0\"><span>Master essential <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/www.google.com\/url?q=https:\/\/enterpriseleague.com\/blog\/business-knowledge\/&sa=D&source=editors&ust=1765238214763980&usg=AOvVaw3YjF0-PZhz0HYzPpfXp719\">business knowledge<\/a><\/span><span class=\"c1\">\u00a0to make informed reporting decisions.<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span>Discover how <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/www.google.com\/url?q=https:\/\/enterpriseleague.com\/blog\/inventory-management-software\/&sa=D&source=editors&ust=1765238214764218&usg=AOvVaw07CP_4caJnQme0ZkKLK7Nj\">inventory management software<\/a><\/span><span class=\"c1\">\u00a0streamlines your business data tracking.<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span>Learn why <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/www.google.com\/url?q=https:\/\/enterpriseleague.com\/blog\/advantages-of-business-process-automation\/&sa=D&source=editors&ust=1765238214764418&usg=AOvVaw3oB5Mfhi1Nx5U1Ce7XE4Km\">advantages of business process automation<\/a><\/span><span class=\"c1\">\u00a0include better data visualization.<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span>Explore <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/www.google.com\/url?q=https:\/\/enterpriseleague.com\/blog\/smart-solutions-for-business-management-and-automation\/&sa=D&source=editors&ust=1765238214764618&usg=AOvVaw3BW6sqzHMTOPWlqaKhvzdH\">smart solutions for business management and automation<\/a><\/span><span class=\"c1\">\u00a0to enhance reporting capabilities.<\/span><\/li><li class=\"c3 c6 li-bullet-0\"><span>Understand how <\/span><span class=\"c5\"><a class=\"c7\" href=\"https:\/\/www.google.com\/url?q=https:\/\/enterpriseleague.com\/blog\/visualizing-improvement-data\/&sa=D&source=editors&ust=1765238214764788&usg=AOvVaw0pFqB2_E67XAAwXdzWABZ4\">visualizing improvement data<\/a><\/span><span class=\"c1\">\u00a0drives better business outcomes.<\/span><\/li><\/ul><p class=\"c2\"><span class=\"c1\"><\/span><\/p>","_et_gb_content_width":"","footnotes":""},"categories":[10],"tags":[8556],"class_list":["post-74506","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insights","tag-8556"],"_et_post_bg_layout":"light","_et_pb_show_title":"on","et_pb_page_layout":"et_right_sidebar","et_pb_dot_navigation":null,"et_pb_hide_nav_before_scroll":null,"et_pb_show_title":null,"_et_pb_page_layout":"et_right_sidebar","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How To Choose the Right Tool for Waterfall Chart Reporting<\/title>\n<meta name=\"description\" content=\"Compare Excel, Google Sheets, Power BI and add-ins for clear, accurate waterfall chart reporting, plus practical tips for structuring data and setting totals correctly.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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