96% of Businesses Fail to Unlock Data’s Full Value
The majority of businesses—regardless of size, geography or sector—have a long way to go before they can fully unlock value from their information
What EPM and NFL Football Have in Common – Part I
Companies and football teams both have goals, objectives, strategies, tactics, employees and other resources, competitors, stakeholders, customers, and outcomes. But the biggest lesson I think we can draw…
3 Reasons Why Exceptional User Support Is Key to Success with Mobile
Providing exceptional user support and customer experience starts with executive leadership. Technical know-how alone will guarantee neither successful outcome nor adoption of the mobile solutions.
Where’s The Money in Data? (Part I)
Data monetization, the term used to describe a variety of approaches to turning data into dollars, is a whole new ball game when it comes to managing and using data
Data Lakes Guide: 10 Requirements for Success
Data Lakes are gaining popularity as a way to store massive amounts of information for big data and analytics applications. But how are data lakes built? Here are 10 requirements for success.
From: http://www.information-management.com/gallery/Data-Lakes-Tips-Guide-Requirements-Success-10026959-1.html?utm_medium=email&ET=informationmgmt:e5205554:2047253a:&utm_source=newsletter&utm_campaign=daily-sep%2024%202015&st=email
Success with Mobility Requires Talent More than Technical Skills
When we consider what it takes to achieve success with mobility, one thing we cannot overlook is talent.
Surviving Digital Transformation? Here’s How To Thrive In It
You cannot solve problems with the same thinking that created them.
Algorithm Optimizes Big Data Clusters for Medical Breakthroughs
Researchers at Rice University have developed a big data technique that could have a significant impact on healthcare through “clustering” and the ability to reveal information in complex sets of data like electronic health records.
10 Big Data Predictions
As organizations complete the latest wave of big data projects, plenty of opportunities and challenges remain.