How Do You Engineer a Trustworthy Data Foundation for Pricing Analytics?
Engineering a trustworthy data foundation across 1.3M manufacturer transactions lifted data health from Good to Excellent by correcting 27,000+ negative-cost rows, orphaned costs, and date misalignments. A clean foundation is the prerequisite for elasticity, market-basket, and RFM analytics—without it, even sophisticated models produce results leadership refuses to act on.