Kimberly-Clark is a global heavy hitter in the personal care market. The Fortune 500 company has recently elevated their ability to use data to drive results, using a stack that includes Amazon Redshift, Tableau, and Panoply. Their path to data excellence wasn’t simple, though. The large company was faced with the common enterprise conundrum: large sets of disparate data and limited resources. Read on to find out how they solved their data challenges while also saving money and improving marketing intelligence.
Kimberly-Clark has mountains of data from multiple regions ready for exploration and insights, however their legacy data infrastructure created a huge barrier to their marketing teams. Their systems were inflexible and could not address business intelligence questions quickly. In any organization, business intelligence questions occur continuously and in-the-moment. With the legacy data structure, receiving answers to these questions in an actionable time frame was a struggle because of the ETL and data processing requirements. To be a truly agile organization Kimberly-Clark needed a way to shorten the path from curiosity to insight.
Kimberly-Clark decided to integrate Panoply into their data infrastructure because of its smart cloud technology to boost Amazon Redshift performance thanks to built-in machine learning and natural language processing. Panoply monitors queries in real-time, automatically adjusting for performance. Panoply uses proprietary AI algorithms to learn usage passage, optimize data sets for querying, and cache frequently-run queries, which improves Redshift performance for the user. The company’s choice of a Tableau and Panoply data stack was a game changer. In fact, Tableau and Panoply ran a joint study assessing Panoply’s performance improvements over vanilla Redshift using common reporting dashboard configurations. The results showed that Panoply provided up to 90% reduction in dashboard runtime.
Ask Helena Carre, EMEA Omnichannel Analytics Lead at Kimberly-Clark, about the Tableau platform running on Panoply, and she’ll tell you it’s like having “analytic superpowers.” She added:
The one-two punch of using Tableau on Panoply for fast performance was the best possible solution for my team.
Panoply gave me the things I needed - speed, automation, efficiency, flexibility - without blowing up my budget, increasing my headcount, or adding unneeded complexity. It continues to be a great complement to my existing resources.- Helena Carre, EMEA Omnichannel Analytics