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Developing High-Impact Dashboards
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the other information is for analysis against planned information So in this case, rather than having a dashboard with two lines one for planned and one for actual information we have ranges of information for planned or expected levels of each of the indicators This will provide the business analysts additional information and enable them to compare the overall growth and progression of each of the indicators Which KPI business users are supposed to look at and understand immediately upon opening this dashboard should be clear; the overall structure of the lower-middle view is dramatically different from the others The waterfall chart type displays this information in a manner that is unique but also very direct and focused Business users can immediately see that there has been an increase in the overall progress of capturing new customers The company has increased the number of new customers from 25 in the first quarter to 40 in the fourth quarter of 2008 Now, additional information can be used to understand in more detail what 40 customers in Q4 means to us If we were to have added an indicator around the total current customers and then a comparison between where we were versus where we are, that would be helpful Also, the customer profitability would have added additional information of importance to this discussion But we are looking to get specific information immediately to the executives and management so the critical number is the actual additional customers added This immediately offers inherent information that we are moving to be more profitable since additional customers hopefully means that we will be seeing additional revenues from these new clients We can definitely see that in Q1 we only had a net 25 new customers and therefore during the year we are doing a better job of looking for and adding to the new customer list In any case, we can immediately see that the range that we would like to be in is the section of the range that is highlighted with color and is identified by the cylindrical shape This can be seen in more detail in the following illustration
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60 Quarterly Net New Customers
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50 Number of New Customers
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In this dashboard view, the information is very clear quarterly net new customers Display of the actual number has been turned on so that the business analyst doesn t have to scroll over the information to see the total number per quarter, which is a time-saver for them They can also see all four values at the same time, whereas with scrolling they would see only one value at a time Let s back away for a moment and review the entire Sales Analysis dashboard There are certain items that we need to review and validate to ensure that we have incorporated as many best business practices as possible into this dashboard So, if we look at each of the areas of formatting, we see several pros: All the titles and informational items on this dashboard are consistent Therefore, once you understand one title and chart range information, you can understand the others This reduces the amount of time required to get comfortable with each chart type and their individual titles and subtitles All of the color schemes are the same To achieve this, I created one template object and then just copied it to another object I had to make additional changes and fixes to the copied object, but having a starting point saved time and ensured consistency The total number of KPIs is 9 to 12 depending on the approach that you use to count them We have six actual KPIs, but in addition we have the same three indicators for each and this outlines the ranges of Maximum, Average, and Minimum for each indicator These can be classified as three additional indicators The amount of graphics used is consistent with the required look and feel and will not affect the performance of the dashboard Subtitles and titles are consistent for each of the charts For the subtitle, if it s a stacked bar, the subtitle is below, and if it s a stacked column, the subtitle is to the left side of the screen Business users can easily understand and focus on each of the indicators I conducted my own test on this dashboard and asked several people who are not involved with BI to look at it for the first time and tell me what they think Within the allotted 20 seconds per KPI, all were able to understand the information and give one conclusion from the overall dashboard The scaling is consistent and everyone is scaled to the thousands rather than in some with different scaling factors This dashboard has all at one scaling factor level In each case, the business analysts used in the test case were attracted to the lowerlevel indicator first, and then started reviewing the other charts This would validate the approach that I took to highlight the critical KPI As mentioned previously, the format of the query that supports this dashboard is as critical as what chart type is chosen to display this information In this case we are using queries with four columns Lowest Level, Average Level, Highest Level, and then the Actual itself This will allow the series within the chart type to pick up the appropriate information by column This drives home the need to have the correct query to support the correct chart type Now the trick to developing this chart type is that the initial three column values of the queries need to be the differences rather than the total So, your Lowest Level is the total amount used in the case of Sales Revenue, it would be $500,000,00000 (scaled in
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