IT and lines of business (LOBs) have long been known to butt heads over data accessibility and business intelligence. And now, with the rising strategic importance of analytics and data-driven decision making, the infighting is intensifying. Many LOBs, as a recent IDC study shows, are deliberately working around IT to fulfill their data and analytics needs. But it's not too late for CIOs to regain their authority, says IDC.
Big data, in fact, provides them the perfect opportunity. It requires an advanced enterprise analytics strategy, and an IT foundation capable of supporting it. Smart CIOs will take advantage, reasserting IT as trusted advisor for enterprise big-data initiatives.
As a former CIO (at Medtronics), James Dallas has given IT's role in big data a lot of thought. And he, too, believes it presents a great opportunity for CIOs, as he shared in a recent webinar series, "Busting the Four Analytics Myths" (watch on demand). Tune in to this A2 Radio episode for his thoughts on analytics, big data, and IT. You'll learn about the importance of:
- Elevating IT throughout the enterprise
- Shifting IT's focus from control to collaboration
- Making peace with the business
If you are already a registered user of AllAnalytics, please login to access this content without re-entering your information.
The tale of a decade-old algorithm should raise concerns about how data and algorithms get reused in unexpected ways.
A closer look at SAS 360 Engage, which enables organizations to interact with consumers by allowing them to create, manage and deliver digital content over web and mobile channels.
It's a new world out there when it comes to analytics, and the old if/then model is no longer a sure thing.
Databases in general and relational databases in particular are intended to be most useful for knowledge representation in the context of validation -- when a theory has been formulated -- and the logical model representing it in the database can be used to validate it and further analyzed to derive additional implications of a theory.
There are surprising similarities between a successful data strategy and the painful process of getting music published and on the air.
How Colleges and Tech Are Grooming Analytics Talent
How Machine Learning Takes Handwriting Recognition to New Levels
A Look at Tomorrow's Data Scientist
Analytics and the Making of a President
Analytics: Where We've Been, Where We're Going
How Predictive Analytics Can Take Your Company to the Next Level
How Analytics Can Transform State Government
Save Labor Costs With Predictive Analytics
What the IoT Means to You and Your Insurer
When It's Time for a Robot's Job Review
How Advanced Analytics Serve Healthcare
International Institute for Analytics Research Library