Companies today are pulling data from hundreds of ERP and other source systems to fuel operational analytics. Extracting and combining the data is a brutal process, and many still resort to paying small fortunes to teams of highly skilled data engineers who manually stitch everything together.
But that’s not sustainable in the long run. Not only is it exorbitantly expensive but it’s also far too slow to keep up with the pace of business in today’s world. What’s more, Gartner anticipates a 121% increase in the number of data sources factoring into the average operational analytics over the next year, only making matters worse.
In this eBook, we examine the differences between transactional data and operational analytics, as well as how to close the gap between them with new technology. In particular, you’ll learn:
- Why running operational analytics on ERP data is so hard
- Why turning to Excel to solve these problems is a mistake
- How Incorta helps you gain a decisive operational analytics advantage
Our customers are breaking barriers
Innovators use Incorta to break lengthy cycles and are redefining real-time self service analytics.