Mike Ferguson, an independent analyst with Intelligent Business Strategies, talked with David Corrigan, director of product marketing for IBM InfoSphere and Information Governance about how to raise confidence in big data. They focused their conversation around automated integration – the ability
Meet Mr. Confident and Mr. Not-So-Sure. Both are living in a big data world, but only Mr. Confident is succeeding. Mr. Not-So-Sure struggles with understanding the context, completeness and risk associated with data. On the other hand, Mr. Confident utilizes trusted insights from the growing volume
Big data has a value, for sure, which we often measure proportionately to its magnitudes: volume, velocity and variety. But big data also has a “disvalue” in roughly the same proportion: the more rapidly we collect more data of different types, the more likely we are to be intensifying business,
As the big data conversation matures, it’s starting to sound a bit familiar. Words like “governance” and “trust” are becoming more prevalent as organizations move from big data theory to practice.
Organizations see huge opportunity in big data analytics, but they’re finding that insights are
You rely on the data warehouse for business-critical reporting and analysis. The warehouse has become the workforce engine powering business decisions and driving results. It is a central repository created by integrating data from one or more disparate sources such as applications, databases and
When organizations don't have trust in their data, they don't act upon it. With more companies looking to use big data to get richer insights, the question of "Can I trust these data?" arises more frequently. David Corrigan, director of product marketing for IBM InfoSphere, talks about how good
Aberdeen has long illustrated the benefits of well-managed, trustworthy data, and the problems associated with poor data quality. As data volumes rapidly expand and data environments become more complex, what were once small nuisances evolve into massive, company-wide problems. In order to avoid
Big Data Bytes is a videochat where we look at some of the hot articles, blog posts, and social chatter about topics related to big data. For Friday, May 31, 2013, our special guest was Richard Lee (@InfoMgmtExec), Managing Partner of the consultancy, IMECS, LLC, and frequent speaker on issues
In the world of information management, we think a lot about the critical connection between good information and good decisions. After all, we know that the very best analytics, when applied to information that is inaccurate and out of date, can lead to decisions that send a business in the wrong
Increasingly, recent conversations with customers around the world have included the need to address multiple types of data, commonly called “multi-domain” in master data management (MDM) circles. This stems from several factors: an increasing emphasis on data exchange; the rise of accountable care
Annual predictions are like relatives at a cocktail party: once you introduce them, you never know if they’ll flatter or embarrass you. But that doesn’t stop thought leaders, analysts and other subject matter experts from laying their reputations on the line every year for our education. Here is a
In the first ever Gartner Magic Quadrant for Data Masking, IBM InfoSphere Optim Data Privacy Solution was named a leader, receiving the best ranking in the ability to execute and completeness of vision categories compared to competitors.
Will this be the year of the “big data hybrid”? What will become of cross-scale architectures and next best action? Will governance finally take center stage? And will data scientists still be sexy? James Kobielus looks at all this and more in his predictions for 2013.