Digitalization is Not Just About Collecting Data
Today, almost every organization possesses data, reports, statements, and dashboards.
Yet, we frequently find that these do not become genuine decision-support tools.
Business Intelligence (BI) does not work simply because data exists; it works because:
- The data is interpretable,
- It is presented within context,
- And it is linked to specific decision-making scenarios.
BI is not actually a technological issue, but a matter of maturity.
BI Begins Where the Right Questions are Asked
Many BI projects fail because they try to provide answers too quickly.
Instead, the questions must come first:
- What do we truly want to gain insight into?
- What decisions do we want to support?
- Where are the blind spots in our business operations?
In our collaborative work—including with the experts at ProdAudit Consulting Kft.—we consistently see that the most valuable BI solutions are born where the organization honestly confronts its own operations, not just its databases.
No Functional BI Without Digital Readiness
The effectiveness of Business Intelligence is closely linked to an organization’s digital readiness—not just in a technological sense, but in terms of organization and mindset.
This is why we created the Grepton Digital Readiness and Digital Maturity Questionnaire. This is not a BI tool, but a BI foundational tool.
👉 Highly recommended starting point: https://grepton.hu/digitalis-felkeszultseg-digitalis-erettseg-felmeres/
The questionnaire helps identify:
How data-driven the decision-making process is,
How consistent and reliable the data is,
The current level of the analytical culture,
Where the greatest opportunities for development lie.
In our experience, this assessment often highlights issues that would otherwise incur much higher costs if they surfaced later during a BI project.
BI and AI: Build Only on Mature Foundations
AI is appearing more frequently in the world of Business Intelligence in the form of forecasting, pattern recognition, and automated analysis. However, AI is not a substitute for mature BI foundations.
It is worth integrating AI into BI only when:
The data is reliable,
The interpretation of metrics is uniform,
The organization understands what it is analyzing and why.
Otherwise, AI will only produce misunderstood or misleading conclusions at a faster rate.
The Grepton Approach: From Data to Understanding, From Understanding to Decision
At Grepton, we do not treat Business Intelligence as a report-writing task, but as executive decision support. The goal of BI is not to “measure everything,” but to measure what truly matters.
Our digital readiness questionnaire, BI solutions, and AI-based analytics all point in one direction:
➡️ Data leads to Understanding
➡️ Understanding leads to Better Decisions
➡️ Better Decisions lead to Competitive Advantage