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Developing High-Impact Dashboards
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As a reminder, this illustration is a comparison of the three different column templates that we worked on in 6 Again, because the illustration is in grayscale, we can t really discuss the colors Suffice it to say that one of the items you would evaluate is the color scheme for the columns, to make sure that it s effective Now there s a distinct difference between Chart 1 (far left) and Chart 2 (middle) in terms of presentation of the information In your mind which approach will allow you to review this information easier and faster so that you can get back to actually running the business based on this analysis From the two charts we can see that they differ based on the groups of information that are presented Chart 1 has the groups based on the Product Groups and Chart 2 has the groups based on the Yearly Sales Volume Same information in both charts but very different approaches to the analysis processes I personally tend toward the formatting in Chart 1 since I can immediately see the information, understand the results, and based on the interpretation go out and execute a plan I know that from year to year my sales have gone up for each of the Product Groups Very straightforward, very direct and gets the information to the business user directly with very little effort on the business user s part to understand the formatting used in this dashboard In terms of Chart 2 the grouping in Sales Volume is nice but what does that tell us and is it intuitive enough for our purposes We can t immediately see that the sales from year to year went higher, we also can t tell or are we expected to realize that in each case the sales for each Product Group increased We also can t really identify from the chart that the overall year-to-year sales volume has increased either We can attempt to interpret the results but that means opening the door to interpretation and that s not a good thing when it comes to charts that you may find yourself explaining to the corporate world Even if we turn the tables a bit and suggest that this dashboard is looking to compare sales in the different Product Groups, will this allow us to suggest that Chart 2 is better at explaining the results than Chart 1 I guess we can give a slight edge to Chart 2 since the Product Groups are together rather than apart but that would still not give a decisive edge to Chart 2 versus Chart 1 Looking at Chart 1 we can still see that comparison very clearly and be able to identify the comparison between Product Groups very quickly and accurately
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So if the appropriate formatting and positioning is completed you will see that it can stand up to a number of views of the analysis The overall display and sizing is good for both charts An initial suggestion would be to adjust the Y-axis The grid goes from $000 to $3,000,00000, but each Product Group has well over $1,000,000 in sales The Y-axis could be scaled so that it starts at $1,000,000, which would simplify the charts Another suggestion would be to move the Product Group title for Chart 2 so that the business user doesn t look down from the chart and wonder where the columns are for Product Group Now, consider the rightmost chart Chart 3 It s format of the data is good and the positioning of the information is very similar to Chart 1 but the titles are a bit either nonexistent or scarce So we don t have any titles up the sides or at the top You can probably see that this is one dimensional versus the others that are two dimensional and that s OK even though some of the wow factor goes away without some tweaking of the colors but I m not going to say that this is a bad chart template based on the fact that it s only one dimensional Remember, the focus of these Web templates is the delivery of the information in a consistent and focused approach, not how many dimensions can we use to get the information displayed So, all in all, we can see that with the basics that we talked about in the previous chapters we can build a useable and consistent Web item for a dashboard Before we get into the configuration details of a good dashboard, take a look at the example dashboard shown next, which clearly incorporates all the concepts discussed thus far This dashboard was built using the SAP BOBJ component Xcelsius and sources the data directly from the BW system using BW queries and BOBJ Universes Xcelsius has the capability to set up dashboards with every Widget imaginable in terms of graphics, such as tachometers, aircraft cockpits, and off-the-wall graphics, but here the use of the basic column and line chart types with some actual summary reports thrown in looks great
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