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 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 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
Three macro changes clearly have the potential to impact and change manufacturing for good…
Roughly 90% of CIO respondents feel that data is transforming the way they do business, with 92% suggesting that CDOs are best positioned to define data strategy and while also emerging as the guardian of data quality within an organization.
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From: http://www.information-management.com/gallery/Chief-Data-Officer-CDO-Survey-Findings-10026571-1.html?utm_medium=email&ET=informationmgmt:e5080663:2047253a:&utm_source=newsletter&utm_campaign=daily-sep%204%202015&st=email
If a patient encounter were like an academic exam, gathering structured data like vitals would be the fill-in-the-blank portion of the test. Gathering unstructured data would be like the essay portion.
The biometrics security industry will generate $13 billion in revenues in 2015 and is expected to reach $26.8 billion in revenues by 2020. But the technological challenges remain huge
The research thus makes clear that organizations must pay attention to a variety of skills and how to combine them with technology to ensure success in using predictive analytics.
Why visualization? Several reasons, actually…
A warning for 2016: Be wary of policy-based evidence-making from the candidates. Leave the debates to data scientists.
In many cases, you may be forced to solve unique business problems that can’t be addressed using standard solutions. Hence, technical knowledge alone will guarantee neither a successful outcome nor adoption of your mobility solutions.