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Posts Tagged ‘Big Data’
Data Governance Organizations – Tying them all together
In my last blog posting, I talked about the Subject Area Data Stewardship Subcommittee and how it is the forum for collaboration and stewardship over a specific data subject area or domain. In this article, I will describe three key roles involved in Data Governance and Stewardship organizations which are critical for setting and maintaining […]
Customer Segmentation: Digging Out of the “Free” Service Expectation
World Class Service, for Free! Those of us in the banking industry that have been around a little while can remember the days when customers routinely paid for the services they consumed. It seems shocking to the average banking consumer today, but checking wasn’t always free, paying bills meant buying stamps and writing checks(which they […]
Business Intelligence Buzzwords: Taking the Good With the Bad
One of the most important aspects in the progression of business intelligence is the use of buzzwords. These words drive interest in the field and provide common language between the world of technology and business to steer initiatives. However, in an ever-changing industry it is difficult to pinpoint standard definitions. Buzzwords often overextend their original […]
Big Data to attack Healthcare Fraud
According to a U.S. Senate Panel on Healthcare, healthcare fraud and abuse costs as much as $100 billion a year, or 10 percent of the $1 trillion spent on healthcare. In addition, these fraud costs are increasing at a rate of $3 billion a year. The traditional approach has been to pay claims and then […]
BI Usage is Growing in Healthcare
In his article, Healthcare’s Radar Picks up Increased Business Intelligence Activity, Eric Wicklund makes some good points and ponders the best way to use business intelligence to improve healthcare. Some background: 75% of payers and 44% providers find value in analytics, yet only 26% have BI programs in use. This shows a tremendous market for […]
Siri Stumped? Call Watson
Andrew Nusca over at ZD Net has a short but interesting article about Apple’s Siri vs IBM’s Watson. I’ve been a fan for voice recognition for a while and have even managed to train my Android phone to mostly understand me when I use voice recognition to call a friend or search for a term. […]
From Decision Management to Predictive Analytics: IBM SPSS
IBM SPSS has been getting a lot of attention lately due to increasing interest in buzz words such as big data, predictive analytics, data mining and statistical analysis. Additionally, the latest version of SPSS Statistics (version 21.0) was also released this month. But what is SPSS and how does it fit within the current solutions […]
Claim System Replacement and Consolidation Best Practices
Nothing is more impactful, engaging and notorious for a Health Insurance Payor than the replacement of their Claims platform or consolidation of many into one. For those contemplating such a move or already in the throes of one, here are some thoughts around “Best Practices” to make the effort successful. Data Repository To facilitate the […]
Data Governance Organizations – the Subject Area Data Stewardship Subcommittee
In my last blog posting, I talked about the role of the Data Governance Coordinating Committee as the body that coordinates the work of Data Stewards in Enterprise Data Governance when cross-domain enterprise data alignment is needed and to provide a consistent approach to Data Stewardship. In this posting I will describe many of the […]
Where’s Waldo? The Case for Enterprise Content Management
To coopt a phrase from a popular children’s book and game series, “Where’s Waldo?” This simple question along with the ever present who, what, when and why, are often answered with inconsistent or incomplete responses in Enterprise data. As companies have merged, acquired and grown, many times it’s virtually impossible to get an answer to […]
A Silver Bullet for Big Data: Hadoop Family
In previous post I talked over basic concepts, business values, some situation and facts of big data application. Actually in current IT world, the big data related technologies and products were being developed and practiced dramatically. There will be a pretty long list in which how many companies and organizations have been involved in this […]