Jeff Jonas On Business Intelligence Software

Published on: March 22, 2010
Last Updated: March 22, 2010

Jeff Jonas On Business Intelligence Software

Published on: March 22, 2010
Last Updated: March 22, 2010

The sometimes arcane topics of business intelligence software and business analytics don’t get a lot of headlines, nor are they particularly sexy (well, not to most people).

However, they’re crucially important: these methods of mining data may very well determine which businesses succeed and which fail.

That’s why companies with the money to invest are focusing heavily on business intelligence software – running a highly competitive business without it is like navigating a ship by guesswork and hunch.

Jeff Jonas, Chief Scientist with IBM’s Entity Analytics, has spent decades immersed in data analytics.

The company he founded in 1984, Systems Research & Development (SRD), was acquired by IBM in 2005.

Under Jonas’s leadership, SRD developed next-gen data mining technologies, including one used by Las Vegas casinos to protect against professional card counters.

(The best known of these teams is featured in the book “Bringing Down the House,” and the recent movie “21.”)

Jonas specializes in creating solutions that enable businesses to better understand their data assets. Clearly, merely mining the data isn’t enough.

Speed is of the essence. “The winners will be those organizations that make better decisions, faster,” writes Jonas on his blog.

”The closer to real-time an organization can operate, the more competitive it will be….

They will be more efficient in how they deliver their products or services, their customers will be happier, and they will be able to stop many more bad things (e.g., fraud) from happening before they happen.”

Similarly, he writes about how businesses need to realize the limits of algorithms in making better sense of transactions. Instead, they need to think in terms of “assembling pixels into pictures.” Jonas call this process context accumulation.

“Next generation, real-world aware systems are going to FIRST apply inbound transactions (i.e., pixels) to earlier observations in order to construct context (i.e., pictures).

Then, and only then, will algorithms be able to more accurately determine the relevance of new transactions. There are no short cuts.”

I spoke with Jonas via Skye about how businesses can leverage the top trends in business intelligence, and how his theories of context accumulation can help organizations run themselves smarter:

These are the business intelligence concepts that Jonas talks about in this interview:

It doesn’t matter how much information an enterprise has, it matters whether those data units are fully contextualized. Only then can managers mine their true value.

As context accumulates, a data set’s larger value becomes apparent.

Effective business intelligence software can provide the context to make sense out of data quickly — in real time.

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Written by Bobby

Bobby Lawson is a seasoned technology writer with over a decade of experience in the industry. He has written extensively on topics such as cybersecurity, cloud computing, and data analytics. His articles have been featured in several prominent publications, and he is known for his ability to distill complex technical concepts into easily digestible content.