INFORMATION MANAGEMENT

Full information inventory to assess and increase value of data and ensure   

Challenge:

Unstructured, text-based data is produced and consumed by all employees. It is spread across many sources and repositories, often in data silos, without any way or means of identifying the data. 

Solution: 

Use IntOp as a data hub to provide all users with a “one stop shop” for all information. Using the IntOp Context Layer to inventory all information and display intuitive contextual filters to users, all users will have a common way of discovering information. 

Intended impact: 

All users save time used on searching for information.

Information gains or regains value as it is put into contexts that users understand

 

 

Scenario 

In an organization, most users produce and consume text-based, unstructured data. Most of this data is stored in files on different applications and repositories. Over time, this production comes to represent what the employee knows and works on and should be a natural record of each person’s activity. The users have access to files and records that are relevant to them in several different sources. Users most likely use too much of their time to search for relevant information in their work or when they are making decisions. 

All files and records that are produced, are part of the collective knowledge, but is currently treated as data stored in different types of applications or repositories, with heterogeneous metadata and naming conventions. This accumulated knowledge is the most valuable intangible asset and must be managed to keep and increase its value. 

Solution 

By configuring IntOp Context Layer to inventory all data in intuitive contexts, all users may discover their information by combining different contextual filters to cross-segment the information. Since IntOp Fetch also gives statistics for all filters, users may see the effect of a filter selection live, and drill up and down in a selection. 

All filter selections may be saved and shared with other users, while still preserving the Identity and Access rules of the sources. This enables effective collaboration on segments of information, which in turn may increase the value of the information over time. 

Use cases 

As a Data analyst, I need a better tool to analyze unstructured data, so that I can support the business lines or departments I serve with better solutions for information retrieval and analysis. 

As a manager, I need a “one stop shop” for all information that is relevant for my team, so we can work more efficiently with the information at hand. I also need a better overview of what information is available within any field of interest. 

As responsible for IM/KM, I need a fast and efficient way of gaining insights, navigating data and analyzing data to better offer stewardship and make decisions for the information and knowledge management of the corporation. 

As end user, I need a tool that gives me insights into all files and records within my field of interest or responsibility, so I can draw on previous employee’s knowledge  

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