ixtract | KPIs to PowerPoint

Key Performance Indicators designed for PowerPoint

KPIs to PowerPoint - UnityMedia NRW
More than 70 Key Indicators or KPIs, derived from 4 different data sets, is already difficult to design.
To summarize and differentiate these information on 70 slides for 11 target groups makes it already quite complex.

In case there is the additional need to finally get a "tool", with which customer potentials and product chances can be better identified, then the pondering becomes a headache.

And if this tool should be generated with PowerPoint in the end - the all graphic designers nightmare program - then one easily strokes the sails, because that actually sounds unsolvable...

An important aspect for successfully realizing such a project is the creation of visual anchors, which can later be linked with the different information, thereby facilitating an easier and faster grasping but also memorability.
The power of these optical abbreviations can be seen in this 200-parts iconset linked to this project. It is important, when designing icons, to define and use a uniform and clear character and form language. The graphical approach to the design of icons is very similar to creating a new font.

Technically interesting is the highly detailed design of the PowerPoint slides which is nevertheless easy to read. All slides are fully editable and don't remind one of the well-known PowerPoint aesthetics, which is rather bogged down with coarse forms, brutal font blends and biting colors.
The basic colors from the CI were given, of course, but the appropriate color gradients had to be created for all diagrams. More than 6 gradations per color appeared the maximum so all values ​​in the diagrams could still be distinguished clrealy. Even if the gradients look natural, they had to be mixed manually. A linear approximation from light to dark did not yield good results, the orange base tone, e.g. slips automatically to a very unsightly brown, when darkened.
In order to be able to clearly identify a targetgoup at a glance, the color code was used to seperate these, with two related groups being collected in one color, but separating the second one slightly by hatching the header graphic.
In the very first step, the underlying raw data had to be cleansed and harmonized in Excel in order to keep potential sources of error (e.g. randomly interchanging the number series while designing the spreads) as low as possible. In addition, you need an individually adapted structure  so all values ​​- at least semi-automatically - can be integrated into the designs.
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