InetSoft BI Webcast: The Definition of Pervasive BI

The following is a transcript of a podcast by InetSoft's CMO, Mark Flaherty.

What is the definition of pervasive BI?

To me, pervasive BI means getting the information to decision makers throughout the organization. Historically BI has focused on the corporate ivory tower, and there is value in that, clearly. That is where the strategies are set. But strategy without execution means nothing, and the execution happens on the front lines. So pervasive BI means getting the information to the front line.

If you can’t get the information workers need to improve their jobs, that really limits the chances for making corporate objectives attainable. The C-level folks make millions to come up with the right strategy, but it’s the thousands of decision that get made every day by employees that really makes a difference in the execution of an organization’s plan. Pervasive BI means making those people who are making the thousands of decisions better than the competition.

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What kind of BI features are customers asking for nowadays?

One area people are talking about has to do with new modes of BI data consumption. Mobile BI, particularly with larger screen devices like the iPad, are interesting to people. Another is being able to analyze and manipulate massive amounts of data much more quickly. And a third has to do with data mashup, being able combine disparate data sources and view them as one.

How are business analytics and information management related?

Business analytics and information management are two sides of the same coin. Business analytics relates to business outcomes, the value, the insights you want to gain. Information management is the delivery of consistent trusted information that is analyzed. Business analytics contains business intelligence, predictive analytics and data mining, corporate performance management, financial management and scorecarding, and finally applied analytics applications. These are functionally applied business analytics that pulls together the value of the other technologies into domain specific ways to address specific challenges. Examples are sales management, workforce performance, and system analytics.

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What is the direction of operational BI?

When we look at BI, the traditional mindset is looking at historical information, historical evidence from transactional ERP systems. We see the future direction of business intelligence where historical information is considered as just one data set that is going to inform you about the future performance of the business, alongside current and real-time information. The last piece is predictive information. All of these types of information complete the entire picture for an enterprise’s business intelligence needs.

Since 1996 InetSoft has been offering business intelligence applications that are flexible and powerful, serving over 5,000 enterprises and solution providers worldwide.