ClearStory Data uses what it calls a Data Harmonization Engine to power its analytics.
You’d think master data management would be an easy sell in a world where everyone wants an accurate 360-degree view of the customer.
One argument says that we'll never have enough data scientists, anyway, so we better come up with a different plan.
No one is managing the data.
Splunk is flexible enough to compete as an indexing engine or a more traditional database. Its competition? None other than Adobe, Google, IBM and Oracle.
Though SaaS implementations may have several challenges, long-term benefits make the pain worthwhile.
Where humans can't keep up with data, AI can learn and identify changes and patterns.
It’s good to see all that time discussing SOA and integration wasn’t wasted.
These new data virtualization business uses are less about integration, and more about the ability to create an abstract data layer.
CMOs are taking over more tech budgets, but they aren't fully up to speed on how to use company data.
The Consortium recognizes that interoperability is a major challenge for the industrial Internet.
IT should play a strategic part of any M&A and should pay special attention to the ERP systems as they are notorious for their migration challenges and costs.
It promises a real-time, unified approach to information management that acts like 'search in a box.'