What you need to know about corporate intelligence management

In today's business world, intelligence management has become an indispensable tool for companies that need to compete in an ever-changing environment. 


What is intelligence management?

Intelligence management is the systematic process of collecting, analyzing and using information to make informed decisions and gain a competitive advantage. It involves the integration of various data sources and analysis techniques to generate relevant insights and minimize risks.

Through effective intelligence management, organizations can improve their strategic direction and position themselves successfully in a dynamic business environment.


Where does intelligence management come from?

The development of intelligence management is closely linked to the transformation of the global economy from an industrial economy to a knowledge economy to an intelligence economy.

Each of these phases has had a unique impact on the way companies collect, analyze and use information:

In the industrial era, which began in the late 18th century, the focus of the economy was on the production of physical goods. Companies focused on developing efficient production processes to enable mass production. During this time, information played a more supporting role and was mainly focused on operational efficiency and product quality.

With the advent of information and communication technology in the late 20th century, a shift towards the knowledge economy began. Companies increasingly recognized the value of knowledge as a strategic asset and began to invest in knowledge management systems and processes. 

In today's era of the intelligence economy, the focus is not only on knowledge, but also on the ability to use this knowledge effectively and make intelligent decisions. Companies are increasingly reliant on not only reacting to existing information, but also proactively collecting, analyzing and transforming information into meaningful insights.

Intelligence management goes beyond pure knowledge management and incorporates advanced analytical techniques, artificial intelligence and machine learning to gain real-time insights, predict risks and identify opportunities. The intelligence economy is about gaining an information advantage that enables companies to remain agile, adapt to changing market conditions and achieve sustainable success.


What are the components of intelligence management for companies?

Corporate intelligence management encompasses knowledge management and corporate learning in organizations. Let's take a closer look at how intelligence management can be applied in these areas.

1. knowledge management:

Intelligence management supports knowledge management in companies by helping to automatically capture, organize and distribute information to ensure that existing knowledge is used optimally.

Here are some use cases:

  • Knowledge acquisition: By systematically collecting and analyzing data from various internal and external sources, companies can gain new knowledge and identify existing gaps.
  • Knowledge organization: Intelligence management helps to structure information into meaningful formats that are easily accessible and understandable. This can include the creation of knowledge databases, dashboards and reports.
  • Knowledge distribution: By providing relevant information to the right people at the right time, intelligence management supports the exchange of knowledge and collaboration within the company. This can be done through training courses, training materials and interactive platforms.
  • Knowledge ownership: Structured intelligence management makes the company the owner of the knowledge. This allows companies to act more independently of individual employees and greatly reduces the risk of head monopolies.

2. learning:

Intelligence management also plays a crucial role in learning and skills development within organizations. Here are some ways in which organizations can benefit from this application:

  • Learning needs: By analyzing data on training activities, performance evaluations and employee feedback, companies can gain insights to optimize training programs and identify individual learning needs.
  • Learning contentBased on the data collected, intelligence management can help to develop customized learning content and training programs that meet the individual needs and skills of employees.
  • Continuous learningThrough continuous knowledge transfer, employees are trained and can refresh their knowledge, acquire new knowledge and develop further. In this way, the company can also adapt to new requirements with the existing workforce.


What role does intelligence management play in the face of the demands of the changing labor market?

Intelligence management plays a crucial role in preparing companies for the demands of the changing labor market. 

In view of the already existing shortage of skilled workers and the rolling wave of retirements, intelligence management is the answer to scarcer resources in the workforce. Good intelligence management makes it possible to achieve the company's growth targets even with fewer or less qualified employees. In addition, structured intelligence management makes companies less dependent on individual employees and thus prevents head monopolies.

Typical use cases for intelligence management in this context are

  • Support with onboarding and offboarding and bridging gaps if necessary.
  • Identifying knowledge carriers and storing knowledge.
  • Continuous training programs for up- and reskilling.
  • Ensuring quality and relevance in knowledge management.
  • Providing knowledge content at the right time in the right format.


How should companies that want to set up intelligence management act?

Companies wishing to set up an intelligence management system should pursue a structured and strategic approach. This should include the following steps:

  1. Set goals: Define clear goals and purposes for intelligence management. Consider which questions or problems intelligence management should solve and how it can contribute to achieving the company's goals.
  2. Allocate resources: Allocate the necessary resources such as budget, technology and personnel to build and implement intelligence management. This may include investing in analytics tools, training employees and hiring specialists.
  3. Develop processes: Develop clear processes and methods for data collection, analysis and use. Define roles and responsibilities within the intelligence team and determine how information is collected, processed and shared with decision makers.
  4. Implement technologies: Implement the necessary technology infrastructure to efficiently collect, store, analyze and visualize data. A central Intelligence Management Software is recommended here. This can then be supplemented with business intelligence tools.
  5. Identify data sources: Identify relevant internal and external data sources that are relevant to your organization and integrate them into your Intelligence Management Software.

By consistently implementing these steps, companies can build a robust intelligence management system that helps them to use relevant information to strengthen their competitiveness and achieve long-term success.



Overall, intelligence management plays a central role in knowledge management, learning and the development of companies by helping them to utilize existing knowledge, learn continuously and develop successfully. By integrating intelligence management into their business processes, companies can build a learning organization that continuously adapts to new challenges and ensures long-term success.

Keeping knowledge in the company

Stand your ground in the intelligence economy

In the "intelligence economy", only those companies that use the "resource of knowledge" correctly will be successful.

It is important to secure knowledge within the company and accelerate the transfer of knowledge.

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Large companies in particular, but also SMEs, benefit from seamless integration into the ecosystem with single sign-on, EU hosting and individual security profiles.

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