Like most enterprise CPGs, each year Company A purchases dozens of individual transactional data sets to understand their brands’ performance and the retail landscape, uncover dynamic insights, and grow their business.
And across the board - none of their data sets speak to one another out of the box. They have different naming conventions, different structures, and different attribution.
For Company A, manually wrangling the data was an inefficient and imperfect process. They needed to pay service providers millions of dollars to have a semi-consistent view of their data. Even after all of that effort, a significant amount of ad-hoc reconciliation was required to tell the story through multiple data sets of what was happening in-market and why.
In this case study, learn how a Fortune 100 CPG partnered with Harmonya to automate product coding and categorization by enriching and modeling their sources of product data.
Thirty minutes on your categories. How the attributes get built, and the questions your team could put to them.
