Business Intelligence Organisatie Scan


“A data-driven organization is an objective organization”

On the way to a data-driven organization

Does your organization know the value of data? Every week we speak to many customers who are making a transition to a data-driven organization or are planning to do so. We are regularly asked: “A data-driven organization, what does that mean and how do I take the first step?”

With our Data Health Scan we describe the current situation, analyze the bottlenecks and define the ambition level in the field of data-driven working. Arising from an IST and SOLL position, we conduct a GAP analysis and draw up a road map for the future.


A data-driven organization acts on the basis of (objective) facts derived from data. These facts provide insight into what is going on within the organization. Trends are also derived from this, so that changes can be anticipated and the right investments can be made. Data-driven working contributes to a sound risk management policy, which guarantees the continuity of your organization. Data-driven organizations work effectively and efficiently.


Based on the experience and expertise of our consultants at various companies, Business Data Challengers has developed its own Data Health Scan. We use this to map out the current maturity level (IST) and the ambition level (SOLL) in close consultation with the employees in your organization. The frequency of feedback is determined in consultation.
We interview employees at the various organizational levels and analyze relevant documentation. For an efficient process, the information required for the IST and SOLL position is largely collected simultaneously. Bottlenecks and frustrations of the IST position are an important source for determining the SOLL position.


We use our own developed BDC maturity model to record and frame collected information. This model was created by combining the knowledge and experience of our consultants with existing (theoretical) models. We use SWOT analyzes to substantiate and map the IST situation of the mentioned themes.

Our approach focuses on three themes


    • Information management

Areas of interest such as information provision, data quality, data definition, information management and security, data ownership and data traceability fall within this theme.

    • Organization & process

The organizational research focuses on your organizational culture and structure, implemented processes, the importance and use of data and expertise of your employees. The type of organization and employees is important for determining the ambition level.

    • Technology & architecture

The technical research focuses on the systems used, software (back end and front end tooling) and the design of the data provision (methodology and architecture).
We provide immediate feedback on risks identified during the investigation and issues that need to be resolved quickly ('quick wins') so that your organization can get started on this.

Closing the gap

With our Data Health Scan we describe the current situation, analyze the bottlenecks and define the ambition level in the field of data-driven working. Arising from this IST and SOLL position, we conduct a GAP analysis and draw up a road map for the future.
Our advice describes the connection of IST and SOLL position and the strategy for 'Closing the GAP'. No page-long quotation filled with standard talk, but a plan in which you recognize yourself and in which you have confidence.
If desired, we will work with you to draw up a data-driven mission and vision for your organization. Completely ready for the future. We hereby answer the question why we believe that the relevant ambition level suits your organization.


The BDC model assumes 5 maturity levels:

  • Level 1: Unstructured – Unconscious: Data is only available in the form of separate reports, which are developed internally or at the request of individual users or user groups
  • Level 2: Reactive – Operational: Data policies have not been completed and are not being enforced. Due to the unstructured process, it is not clear how reliable the information provided is.
  • Level 3: Structured – Tactical: Information products are developed in response to the information needs of specific user groups. Within the organization, people are aware of the need for reliable information.
  • Level 4: Proactive – Strategic:The importance of good data quality has been recognized and policy is being implemented to address this. Definitions and performance indicators (KPIs) are drawn up by the organization, which are processed into information products. These information products support the decision-making process and help manage the organization as a whole.
  • Level 5: Innovative – Visionary: The organization uses data as an important strategic asset. Data governance is anchored within the organization as a quality assurance process. This level is generally reserved for fully data-driven organizations, which have the resources to invest in it.

Data-driven organizations…

✓ Act based on facts
✓ Investing in the right things
✓ Make use of new insights
✓ Knowing what is really going on
✓ Anticipate changes
✓ Work efficiently and effectively
✓ Risk management


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