Kimberly-Clark is an American multinational personal care corporation with 2020 revenue of over $19 billion.
Kimberly-Clark’s Commercial Sales and Retail Sales organizations struggled to integrate point of sale (POS) data sets from their channel business partners. Also, because the data was scattered across many systems, Kimberly-Clark users had no single place to go for their analytic needs.
Selection Process
Kimberly-Clark selected KPI over multiple vendors through a rigorous RFP process. KPI’s expertise in Hadoop, Azure, Power BI, and data and analytics in general was the key differentiator for Kimberly-Clark. Also, KPI’s blended shore model minimized cost and risk for Kimberly-Clark.
An Azure based solution for the POS data coming from disparate source systems. This system reduced the ETL run time by over 80% from Kimberly-Clark’s prior system. It also reduced report execution time by over 90%.
Because Azure Synapse Analytics is a complete solution for blending data and reporting, it served as the perfect solution for the different personas across the organization. Because Synapse Studio was a new service, combining Spark and data warehousing capabilities, KPI delivered best practices and a re-usable architecture. KPI also held knowledge transfer workshops.