Advantages of Business Intelligence

Many organizations still rely on manual data processing, using tools like Excel or PowerPoint for regular reporting. This manual approach is not only time-consuming but also error-prone and avoidable. Implementing BI tools is recommended to ensure efficient and accurate data handling.

Difference Between BI and Data Analytics

Business Intelligence, Business Analytics, and Data Analytics are essential components of corporate data management. However, they differ in their areas of focus:

  • Business Intelligence (Descriptive Analysis): Focuses on past and current company performance.
  • Business Analytics covers:
    • Diagnostic Analysis: Understanding why events occurred.
    • Predictive Analysis: Anticipating future events.
    • Prescriptive Analysis: Recommending actions to achieve optimal outcomes.

Data Analytics is considered a broader term that generally refers to extracting insights, regardless of the specific application.


Business Intelligence in Organizations

BI is not an end goal but rather a fundamental component of a comprehensive data strategy, forming the basis for successful organizational data practices. To implement BI effectively, consider answering these key questions:

  • Who are the key stakeholders?
  • Which departments require BI, and which metrics need monitoring?
  • What support do end-users need?
  • Which technologies are most suitable?
  • Can our organization realistically execute a BI project, or is it too complex?

Our BI experts support you in all aspects of BI implementation. Together, we'll develop a forward-looking strategy, select appropriate tools and technologies, and empower your teams. We utilize proven methodologies and collaborate with leading BI providers such as Qlik and Microsoft.

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BI Support from Our Experts

Together with you, we develop a future-oriented strategy, identify the right tools and technologies, and empower all employees.

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Thomas Howert

Founder and business intelligence expert for over 10 years.

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