December 15, 2014
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and to detect fraud before it happens, financial service companies are using Hadoop to more effectively analyze data and make well-informed decisions.
Dynamic data masking for web applications
December 15, 2014
The rigidity of web application security controls have left companies vulnerable to data breach. How can companies ensure they aren’t leaving themselves open to attack while maintaining secure web application data to protect privacy and support compliance?
December 3, 2014
What are the opportunities of data refinement from the IT point of view? Does self-service data refinement devalue IT? Does it simply create more work for IT, cleaning up after business users who have run amuck?
December 2, 2014
In 2014, there were several important shifts that occurred in the world of big data that business executives around the globe cannot afford to ignore. In part one we introduced four transformative shifts affecting the fast-paced digital marketplace; now in part two we will take a closer look at the first two shifts.
November 24, 2014
Data refinement is one of the most important revelations in the big data market. The idea is simple: you want to take advantage of and use all sources of big data. But when each individual user needs only information relevant to them, what’s needed is a data refinery. It automatically cleans, matches, secures and profiles data—that’s what is meant by refinement.
November 24, 2014
Last month I introduced the Big Data for Social Good Challenge and since then it has opened for submissions with data sets from around the globe plus lots of prize winning opportunities. You might have seen that Chip and Jason are in—are you?
November 20, 2014
Last month at Insight 2014, IBM made an exciting announcement: IBM DataWorks is available now. The reaction was overwhelmingly positive; clients who have or will soon have a data lake were very keen on the notion of data refinement. In fact, a data refinery is a natural fit with a data lake.
November 11, 2014
This week’s Big Data &Analytics Hero, Leonardo Nantes, IT executive of Brazilian credit bureau Boa Vista Servicios, has faced numerous challenges since the merger of two companies took place a few years ago. Boa Vista now serves hundreds of thousands of clients nationwide and handles more than three million transactions per day. Since the business involves credit ratings and personal information, big data security and integrity are paramount.
November 10, 2014
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization. During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information Management at IBM, shares highlights and her perspective on how to make data work for you and your company.
November 3, 2014
There have always existed significant barriers to entry for early adopters of any new technology. For example, all the miles of cable that needed to be run in order for the world to take advantage of the miracle of electricity. Now consider the computer: devices that were capable of processing only the most rudimentary of algorithms used to fill rooms, and were programmed using cryptic punch cards. Now the world has been introduced to IBM Watson, the first and only (as of the time of this writing) commercially available artificial cognitive intelligence.