“We looked at Tableau to make sure it would meet our needs for scalability, governance, and enterprise-readiness. Tableau has been able to meet the rigor of our complex data and IT ecosystem,” says Judy.
Today, a core group of teammates create visual analyses in Tableau Desktop for many different audiences. The largest table that the team connects to in Tableau is 25 to 30 million rows of data.
They are pleased with the sophisticated analysis that they are able to produce within Tableau, such as forecasting, probability analysis of outcomes, and prediction using simulation and correlation models in conjunction with Michigan State University. They are leveraging connecting to R for this comprehensive predictive analytics.
They publish vizzes and dashboards to Tableau Server and share the insights further by embedding analytics within their Center of Excellence portal which is the collective analysis platform for customers, suppliers and program teams.
“With this platform, for the first time, everyone is seeing the same analysis and insights real-time,” says Richard Fisher, Director of Talent Supply Chain Analytics, KellyOCG.
“We embed the dashboards into the .net framework using iframes,” explains Rich. “We have a carousel of thumbnails at the bottom of the screen. When you click on a thumbnail, the full image in the iframe pops up.”
To meet European data privacy laws, all personally-identifiable information has been stripped out of published analyses.
The team has begun evaluating a cloud-based solution—Microsoft Azure, specifically. They’ve already begun testing Tableau in an Azure sandbox environment.
“Tableau is allowing us to visualize a significantly complex business problem in a way that allows our operations team, our customers, and our suppliers to make business decisions that drive their collective business forward,” says John.