Posted on: December 11, 2015, by: Ann Kelly
I once had a boss who said “We don’t know what we don’t know.” At the time I thought it was an odd statement but over the years I’ve come to see exactly what he meant and to understand just how important “knowing” is to an organization.
It’s no surprise to any of us that today’s organizations are struggling to manage large and complex sets of data flowing into their organization at a rate they simply can’t manage with traditional technology. While they generally have a mechanism to capture and manage their structured information they’re struggling to manage the growing volumes of unstructured information. This valuable information is in disparate formats, stored in separate silos and requires additional processing before it can be used for decision-making.
They could ignore the unstructured information as they have done for decades, but they’ve come to understand that there are consequences; critical business decisions made with partial information can negatively impact the enterprise.
Utilizing Content Intelligence to transform an organization’s unstructured information into intelligent information can reduce organizational and reputational risk, decrease expenses, reduce storage and management costs and improve search and retrieval of relevant content.
Not understanding the content and context of your information can expose you a number of risks; from discovery risk, to non-compliance risk, the risk of wasted time and effort by staff who need information as well as the risk of managing and storing the information – all these risks can have financial impact. For example,
When an organization is able to effectively respond to governmental mandates and legal requests, the possibility of sanctions and shutdowns decrease and the organization’s reputation remains intact.
Knowing what the content is about, and where it came from drives information governance best practices to determine whether information should be maintained or destroyed. Maintaining content beyond its life-cycle results in increased costs in storage and maintenance which directly affect ROI.
The ability to reliably and quickly retrieve relevant information will allow knowledge workers to be efficient, effective and satisfied; reducing costs associated with wasted time, effort and rework and minimize human resource efforts and costs.
A robust semantic platform like Smartlogic’s Semaphore that combines the right technology and Content Intelligence practices can help organizations solve complex problems that traditional technologies cannot.
Semantic technologies extract meaning from the unstructured information within the enterprise and make it available for automated processing:
Using Smartlogic’s Semaphore, content intensive processes can be handled by machines instead of humans. The identified facts and relationships can be used in business intelligence applications, to provide prescriptive and predictive analytics that drive business decisions.
Organizations using the principals of content intelligence and semantic technology to gain access to their unstructured information, identify redundant information, maintain reputation, reduce risk, and improve search and retrieval. Smartlogic works with organizations around the world to help them “know what they don’t know”.
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