Data Warehousing and KM

Data Warehousing and KM

If I998 marked the resurgence of FRP systems, 1999 marked the genesis of knowledge management (KM) systems in many corporations. Knowledge management is catching on very rapidly. 

Operational systems deal with data informational systems such as data warehouses empower the users by capturing, integrating, storing, and transforming, the data into useful information for analysis and decision making. Knowledge management takes the empowerment to a higher level. It completes the process by providing users with knowledge to use the right in at the right time, and at the right place.

Knowledge Management:-  Knowledge is actionable information. What do we mean by knowledge management? It is a systematic process for capturing, integrating, organizing, and communicating knowledge accumulated by employees. It is a vehicle to share corporate knowledge so that the employees may be more effective and be productive there works. Where does the knowledge exist in a corporation? Corporate procedures, documents, reports analyzing exception conditions. Objects math models, what-if eases, text streams, video clips—all of these nod many none such instruments contain corporate knowledge.

A knowledge management system must store all such knowledge in a knowledge repository, sometimes called a knowledge warehouse. If a data warehouse contains structured information, a knowledge warehouse holds unstructured information. Therefore, a knowledge management framework must have tools for searching and retrieving unstructured information.

Data Warehousing and KM:- As a data warehouse developer, what .are your concerns about knowledge management? Take a specific corporate scenario. Let us say sales have dropped in the South Central region. Your Marketing VP is able to discern this from your data warehouse by running some queries and doing some preliminary analysis. The vice president does not know why the sales are down, hut things will begin to clear up if, lust at that time, and he or she has access to a document prepared by an analyst explaining why the sales are low and suggesting remedial action. That document "contains the pertinent knowledge, although this is a simplistic example. The VP needs numeric informal Um, but something more as well.

Knowledge, stored in a free unstructured format, must be linked to the sale results to provide context to the sales numbers from the data warehouse, with technological advances in organizing. Searching and retrieval of 'unstructured data, more knowledge philosophy will enter into data warehousing. Figure 3-S shows how you can extend your data warehouse to include retrievals from the knowledge repository that is part of the knowledge management framework of your company.

Now, in the above scenario. the VP can get the information about the sales drop from the data warehouse and then retrieve the relevant analyst's document from the knowledge repository. Knowledge obtained from the knowledge management system can provide context to the information received from the data warehouse to understand the story tic hind the numbers.