Knowledge Management


Traditional approaches to knowledge capture are oriented around data warehousing techniques. These techniques are effective in capturing vast amounts of data, but expert interpretations of such data are often lost as employees enter and leave an organization.

Auguri’s approach is to look at knowledge as a combination of (i) information and data collected (ii) the logic or intelligence that today resides in the brain of the experts. This is the asset that organizations invest most in and fail to leverage and share.

The Auguri engine integrates the situational savvy of experts, utilizing expert understanding to classify the way we think about a certain category of data.

For example, in analyzing sales data for various merchandise for a certain department store, expert input regarding consumer preferences, price-points, and sensitivities would be gathered and used to configure the engine.

One important advantage of knowledge capture and sharing is that applications become more flexible and repurposable. By drawing a distinction between expert knowledge and the data that such knowledge operates on, Auguri separates the reusable portion of the engine from the data which may be purely situational. Returning to the previous example, certain portions of expert knowledge can be reused with Auguri, even as specific sales data fluctuates from month to month or year to year.

Auguri’s knowledge capture focuses on various criteria behaviors that may influence a decision or prioritization. Not only is this knowledge captured, but it is also shared. By embedding expert understanding of these criteria into the engine, Auguri can raise the competence and cohesiveness of an entire organization, essentially making everyone an “expert”.

The Auguri framework facilitates knowledge capture and sharing via the notion of “criteria”, which are the various factors influencing a decision, prioritization, or triage. Criteria are defined by unique criteria behavior, which can be thought of as utility functions capturing the way we think. Typically decisions and analysis involve evaluating data with respect to many criteria, many of which may be quite complex. With Auguri, specialists, technicians and engineers with mastery of certain criteria can communicate and share their specialized knowledge. This knowledge can then be incorporated and utilized at all levels of the organization.