Understanding the Internet of Things is crucial in today’s changing marketplace. Read about the history of the term and how to modernize your analytics for IoT devices, plus advice for an overall data management strategy, in today’s data digest.
- By Quint Turner
- May 10, 2016
Filling the gaps in data can mean the difference between an analytics project's success and failure. Choosing the right method is a combination of art and science that requires understanding the business, the data, and the targeted decision.
- By Troy Hiltbrand
- May 9, 2016
How many organizations are actually making meaningful use of IoT data?
- By Steve Swoyer
- May 9, 2016
Nearly everyone is using open source code today. Learn about the difficulty of securing open source code, the ubiquity of open source architecture, and why that ubiquity is misunderstood by decision makers.
- By Quint Turner
- May 9, 2016
In today’s digest, learn to handle the flood of unstructured data, appear nurturing rather than creepy when using big data, and check the security and governance of big data.
- By Quint Turner
- May 6, 2016
A recent market survey highlights how much the data warehousing market -- and what's meant by the term "data warehouse" -- has changed.
- By Steve Swoyer
- May 6, 2016
Healthcare must innovate to meet the quantity and quality demands of claims submission and processing. Moving to real-time big data is a critical step for companies that wish to streamline claims processing.
- By Jake Dolezal
- May 6, 2016
The impetus for MDM should come from within and be shared by all of the lines of business. There must be a consensus that there's a business problem and that MDM is the solution.
- By Steve Swoyer
- May 5, 2016
The data visualization specialist surpassed revenue expectations but earnings loss worse than expected.
- By Steve Swoyer
- May 5, 2016