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When Document Management Met Business Intelligence

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The term, “content intelligence,” refers to a combination of document management and Business Intelligence (BI) to enhance and broaden data-driven decision-making.  Gerry Brown, a Senior Analyst for Ovum in London, coined this term in 2007 when he saw the two processes, which had hitherto been separate, bring together two sets of data in response to customer demands for inclusion of content they were managing outside of their accounting system.   Professionals wanted to be able to access their virtually filed documents through a search function, but also include them as part of financial reports as a new drilldown option beyond the input figures from Microsoft Dynamics.  Content intelligence become more than just a buzz word or a concept.  It brought together two different functions into one streamlined, heartier, more holistic method to data management and analysis.  And some 5-6 years later, the momentum is building.

Document management systems began to appear in the 1980’s, manufactured to virtually file print materials that included documents, photographs, and other items published on paper.  The product later evolved into electronic document management (EDM) systems that filed and managed print and electronic files, whether they were printed or created on a computer, through server-based storage on the network.  Eventually, EDM applications evolved to file any file or document that you could capture and store on a network.   These systems basically became self-service virtual file cabinets for any and all of your documents.  Bringing us up to the middle 2000’s, Gerry Brown prescribed a future that includes content intelligence.


Content intelligence is a not only a buzz word or a concept for the business world, but more importantly, this is a new solution type.  In the world of data analytics, content intelligence combines the established business intelligence financial analysis and reporting with document management.  Before this new product category, document management was simply scanning, filing, and retrieving via a search function that picked up on keywords in scanned documents.  Now, as Brown prescribed, content intelligence empowers professionals to “slice, dice, and drill down on text and data as an integrated whole,” in order to include textual data and any communication to understand patterns and trends for more informed decision-making.  When aggregating these two processes, finance team members have aligned access to their company data and their textual documentation, but how does it work?  What does it look like?

By now, you might be wondering how do these two processes actually integrate?  How can I drill down to my text files?  What options are on the market today? Is it one product for this new product category?  How do I go about shopping for content intelligence and what are the key features to consider before investing?  You are going to have questions with any new solution, and it will for sure benefit you to have a head start on the product before entering sales conversations.  This article will discuss content intelligence in further detail in order to better prepare you to go out and explore the right solution for you and your company.

To continue learning more about how to bring together document management and business intelligence for your company, read the rest of this article here.

by Solver, Inc.

One Response to “When Document Management Met Business Intelligence”

  1. Eric Haubert says:

    Document management is an essential part of any business. There will be thousands of documents and without any proper management it will be very difficult to find and use any particular document among those when the need arises. A good document management solution saves a lot of time as well. It is no surprise that for every business, scanning and document management is considered as a high priority matter.