The first installation in “The Essentials of Spend Visualization” describes a design-based approach for developing a spend data visualization. Data visualizations ease a viewer’s understanding of information contained in a given dataset. In many instances visualizing data can be a much more effective means of presenting information than a summary report. The human brain is exceptionally adept at recognizing patterns, thus making visual representations of information preferable to text.
In any given procurement team, well-visualized spend data
can provide procurement strategists and spend managers invaluable insights. The
design of spend visualizations should be born from the following line of
questions: who is viewing this visualization, how do they intend to use it, and
what questions do these end users have about it? Spend visuals should not in
and of themselves be answers to questions, but should instead be tools that
allow procurement professionals to answer the questions that they have. As such, every data visualization should be designed from the "what does the end-viewer need?" perspective.
Spend data visualizations can come in two forms: static visuals, and interactive dashboards. While the latter may seem to always be the preferred option, the former is often a better fit for the demands of a given initiative, and usually require much less resources in their development. As a rule of thumb, static visuals are best suited for projects that are smaller, have simpler questions, and are shorter term. The need for an interactive dashboard arises when large datasets are continually utilized for developing insights. Dashboards allow a user to dig-in, interact and view data in multiple ways. A longer term project like this will require stakeholders to understand the information contained in data from a number of perspectives. Furthermore, an interactive visual allows a user to ask and answer multiple rounds of interrelated questions as they delve deeper in to their exploration of the data. It is important to emphasize again that not every projects justifies the effort required to develop these more extensive visualizations.
Spend data visualizations can come in two forms: static visuals, and interactive dashboards. While the latter may seem to always be the preferred option, the former is often a better fit for the demands of a given initiative, and usually require much less resources in their development. As a rule of thumb, static visuals are best suited for projects that are smaller, have simpler questions, and are shorter term. The need for an interactive dashboard arises when large datasets are continually utilized for developing insights. Dashboards allow a user to dig-in, interact and view data in multiple ways. A longer term project like this will require stakeholders to understand the information contained in data from a number of perspectives. Furthermore, an interactive visual allows a user to ask and answer multiple rounds of interrelated questions as they delve deeper in to their exploration of the data. It is important to emphasize again that not every projects justifies the effort required to develop these more extensive visualizations.
Every data visualization should be tailored to the business
objective and execution environment of the procurement project. Here are some key questions the design engineer should have answered during this phase: What are the
business objectives of the engagement? How does the visual fit in to the
execution? What is the
timeline of the project? Who is going to be viewing the visualization? What
level of data literacy do these stakeholders have? What is the specific information
that stakeholders want to have on display? The initial design phase of a spend visual’s
lifecycle should not be considered complete until these questions (and others like them) are
answered. Only once a holistic understanding of business requirements is achieved should the
technical and aesthetic details of the visualization be fleshed out.
Up Next: The Essentials of Spend Visualization Part 2: Tips
and Techniques
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