This is part 14 of our series on the findings and text from the IBM Institute for Business Value’s latest study and paper “Analytics: A blueprint for value - Converting big data and analytics insights into results” from my colleagues Fred Balboni, Glenn Finch, Cathy Rodenbeck Reese and Rebecca
Big data and analytics technology can reap huge benefits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and
When it comes to talking about big data technology, there's a big bowl of alphabet soup to digest: noSQL, EDW, HBASE, ETL, BI, ERP, JAQL and many others. Don't "Pig" out on the soup to the point where you break out in "Hives"—join us as we discuss the technology issues and help you understand what'
This is part 13 of our series on the findings and text from the IBM Institute for Business Value’s latest study and paper “Analytics: A blueprint for value - Converting big data and analytics insights into results” from my colleagues Fred Balboni, Glenn Finch, Cathy Rodenbeck Reese and Rebecca
Patient matching requires a solution that includes people, process and technology. There is no silver bullet such as a national patient identifier. The ONC Patient Identification and Matching Final Report reflected this long-held belief. Enjoy some highlights from this report below:
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
Just like the great train robberies of the wild west, criminals today go where the money is: online fraud. Unfortunately, fraud has become an ever more lucrative, and increasingly difficult to track, criminal enterprise. The same technologies, from cloud to mobile to big data and analytics, that
This infographic highlights key findings from the 2014 report titled “Pushing the frontiers: CFO insights from the global C-Suite study,” which draws input from nearly 4,200 of C-suite executives representing more than 20 industries. Learn more about the insights behind the study in this podcast.
Last Wednesday, February 26, the Big Data & Analytics Hub, which is where you're reading this post right now, and Business Analytics software at IBM ran a Twitter chat entitled, “Innovations in Analytics" with special guest, Seth Grimes (@sethgrimes). Seth is a leading industry analyst covering
Organizations know that there are insights hidden within data that can be the key to uncovering new sources of competitive advantage. Some of the data is proprietary and some is public, or quasi-public. Some of that data is traditional structured data, and some is unstructured, unformatted. At the
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
There have been a number of high-profile missteps with big data in the news. One recent example is the story of OfficeMax and the “Dead Daughter” marketing mailing (read more about it here http://onforb.es/1hhjVCL). OfficeMax accidently sent a mailing with “Mike Seay – Daughter Killer in Car Crash