Data Modeling Sabotages Supply Chain Analytics

Why Legacy Data Warehouses Prevent True Insight

Data Modeling Sabotages Supply Chain Analytics<br>


Analytics is a powerful differentiator that can drive significant operational efficiencies by providing visibility into your supply chain. Unfortunately, most analytics report on a single, specific, siloed part of the supply chain and can’t provide a cross-analytics view of the entire supply chain.

On top of that, most traditional analytics platforms are plagued by cumbersome technology approaches—such as analytics data modeling—that largely prevent any kind of relevant, timely insight from emerging. That’s why a new approach to analytics which completely bypasses traditional data modeling is paramount to delivering the real-time insight and speed-of-thought queries across the entire supply chain that today’s leaders need.

Download this e-book to learn how only Incorta:

  • Eliminates the need for data modeling
  • Enables non-technical user self-service; and
  • Dramatically shortens—by 10-100 times—both the incremental and overall analytics processes