Integration & Governance
October 23, 2014
Every day hundreds of articles and blogs are written about the theoretical value of big data, but many don’t offer actionable specifics. At IBM Insight on October 28, we are correcting this historical shortcoming and showcasing how big data (specifically Big Match) is enabling a single view of a customer in a Hadoop environment.
October 13, 2014
Big data and analytics are profoundly affecting the world around us. One of the focal points of my postings has been how big data and analytics affects, specifically, our personal privacy. An old and perhaps far too familiar twist on this has risen to the forefront of discussion and that is the issue of whether big data and analytics will be used to discriminate against the less fortunate (or perhaps even “the one percent”).
October 8, 2014
In the world of big data and analytics, cloud capabilities offer a great opportunity and shorten the path between ideas and action. IBM’s new Bluemix platform for developers continues to grow, offering users new capabilities every day that they can attach, build and deploy for web and mobile app success.
October 3, 2014
Confidence in data is essential regardless of the bigness of the data being analyzed. In order to make business decisions based on the analysis of data, you need to be sure that the information upon which you are making those decisions is trustworthy.
September 29, 2014
When big data involves personal data, the principles of data protection still apply. This is not just a compliance issue—it’s about fairness, transparency and trust. Getting data protection right helps organizations to realize the benefits of big data.
September 26, 2014
Before business users can start to analyze data and consider the next best actions to improve results, it is typically required to submit a request for the data. Depending on the backlog of requests to IT, the business user might have to wait days, weeks or more before moving ahead with analysis and action. How do you overcome this constraint?
September 25, 2014
Global climate data is massive, diverse and often internally inconsistent. Researchers who attempt to use data science to understand, predict and control global warming find themselves challenged by methodological limitations that frustrate their attempts to fathom this sprawling mosaic. Chief issues include historically thin sources, rampant auto-correlations and heterogeneous data provenance. Tackling global warming requires a harmonious balance between theory-driven domain science and data-driven statistical analysis.
September 22, 2014
We’re all consumers, and companies realize that in order to compete they must put the consumer at the center of their activities. They must understand the consumer, anticipate their needs and provide easy ways to engage. We have all become used to that, and are increasingly expecting the same kind of understanding and service from our government. While governments don’t compete with each other, they are competing with the way we as consumers are being engaged. In a very real sense, we are all citizen consumers.
September 22, 2014
Few people really understand what the Internet of Things really is, much less the privacy implications attached.
September 22, 2014
The emerging role of the chief data officer (CDO) was a key topic discussed at the UK Data Governance Forum’s second annual seminar held in London this September. At the seminar, representatives from organizations across many industry sectors addressed the increasing importance of data, the rise of the CDO role and the necessity for successful information governance in generating business value from data.