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Discovery, Risk, and Insight in a Metadata-Driven World

Date: Wednesday, June 13, 2018
Time:11:30am-12:15pm EDT

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Discovery, risk, and insight mean something different to every organization, even at different locations within the same company.

Do you find answers by trial and error? Do you stumble across information, or find it when it is too late to make good use of it? Join Concept Searching and technology partner, Netwrix, for a detailed view of risk mitigation for data security, compliance, and operational intelligence.

More Information on this Topic

The Human Dimension – Strength or Weakness?
The human dimension is probably an organization’s biggest weakness and its biggest strength. From an information access perspective, ultimately, people are the end users of information and interpret the information available to make decisions. How they use the information presents the dilemma of how human behavior can enable or undermine interoperability. One of the goals is to share information, but end users need to know that information is available and they can access it, based on their security level and the security level of the content. Therefore, the question of usability must be considered at the beginning of systems planning. Why are your end users a stumbling block to compliance?…

A One-stop Shop for Enterprise Metadata Management
Traditionally, there has been a one-dimensional approach to solving business problems with technology. Myriad solutions are available that solve a specific problem, such as improving search, records management, or compliance, but are typically narrowly focused and not adaptable outside the boundaries of the application. This leaves organizations in a continual state of flux, trying to achieve incremental improvements to achieve specific business outcomes. Read more about metadata management…

I Do – No, You do – Who Really Owns Data?
In your organization, let’s assume you are a knowledge worker. Are you responsible for the quality of content that you create, or is your IT department? It seems that this is a big issue in companies. In fact, it’s the biggest issue in solving information governance initiatives. The biggest complaint of users is the inability to access quality information. From an IT point of view, they are more concerned with content duplication and migration as a way to improve the quality of information. Which leads us back to the initial question of who is accountable for information quality. Who owns your data?

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