Good knowledge management is one of the most important pillars of business success. In a connected, dynamic, fast paced business world, you need to be able to make decisions in real time. In the best case scenario, these decisions are not based on good feelings. They should always be made based on collected, analyzed data and the knowledge that comes with it. This guarantees the highest possible chance of success.
Knowledge management goals in a company are divided into normative goals, strategic goals and operational goals.
Normative knowledge management goals:
Normative goals are the foundation and guidelines of a company that uses knowledge management. They are to be seen in the long term and are the foundation at the highest level. Normative goals influence the structural and procedural organization and shape the future design of the company.
A normative goal requires that you have anchored a knowledge-conscious corporate culture at C-level. An example of a normative knowledge management goal may be to increase innovation and competitiveness. Defined as the ability of a company to produce innovations and act innovatively, innovation capability has a direct impact on financial and corporate value.
The normative goals derived from innovation capability are in turn the promotion of a policy of trust, fault tolerance and trial and error. To create the perfect climate for innovation, it is essential to perfect communication, intensify relationships with key customers and cultivate a healthy culture of error. This includes communicating, analyzing and solving problems together. An important tool that can support you in this is Sherlock Databrain. Thanks to Sherlock, you can link and query data at will. This opens the door to trying out new business models. In addition, the interconnection of data silos reveals information that can be used to discuss new innovative ways of solving problems.
Strategic knowledge management goals:
Strategic knowledge management goals are long-term measures. They are aligned with organizational or impact goals and are derived from normative knowledge goals. Knowledge as a resource is actively organized and managed. Once this is done, everything is integrated into the existing processes. If strategic knowledge management goals are formulated on the basis of an existing strategy, they facilitate the implementation of this strategy from a knowledge perspective.
Strategic knowledge goals directly define business goals. These can be process improvements, transparency of potentials and customer satisfaction. This new transparency helps identify further knowledge needs and set knowledge obejectives.
It is not uncommon for valuable knowledge to lie idle in companies. An important part of knowledge management is making this knowledge accessible. In some places it is even possible to gain a competitive advantage from it. This knowledge is often hidden in data silos that are difficult to access. Databrain Sherlock helps to break down the data silos at this point to identify this idle knowledge and make the structures accessible.