In Search Of Data Model Repeatability
datanami, Monday, August 21,2023
Everybody wants to be data-driven-that much is clear. But that desire doesn't necessarily translate into real business results, especially in competitive industries like ecommerce.
Data quality has long been a burr in the side of would-be data champions. The need to cleanse and normalize dirty and inconsistent data often consumes the lion's share of the resources devoted to big data analytics and AI endeavors. Many millions have been spent devising novel ways to shortcut these steps, but data success often comes down to how much time and money a company is willing to spend to build it by hand.
Dan LeBlanc is quite familiar with this situation as it exists in the consumer brands space, particularly as it relates to online commerce. As the head of analytics for Provide Commerce, the $750-million company behind ProFlowers and several other brands, LeBlanc and his team had done the hard work needed to be able to call themselves truly data-driven back in the late 2000s.