Case Study: Sears achieves 100x faster analytics and quicker time-to-value with Datameer

Sears - Customer Case Study

Sears was constrained by slow, costly legacy BI and mainframe systems that required unique ETL jobs and data cubes, forcing analysis on limited data slices and creating multiple versions of the truth. The retailer needed to remove data latency, enable fast self-service analytics at the granular level, and reduce IT labor and costs.

Deploying Datameer on Hadoop as an enterprise data hub centralized all historical and detailed data, eliminated cube-based segmentation, and let business users integrate, analyze and visualize data without IT-driven ETL while enforcing security via Datameer profiles. The result: Sears can “source data once, analyze it many times,” achieve analytics up to 100× faster, dramatically reduce time-to-value and costs, and produce interactive reports in days instead of months.

Sears

Phil Shelley

Former CTO