Information deficits in the BI project - How we create transparency

Strengthening trust with the principal-agent theory

Here you can read how clear communication reduces information asymmetries and puts your BI project on the road to success. At the end of the article, you can download our free white paper "5 strategies for more transparency in BI projects".

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"Why do so many BI projects fail not because of the technology, but because of communication?"

Data is there, dashboards are built - and yet there are still misunderstandings between specialist departments and IT? Many BI projects fail not because of the technology, but because of a lack of transparency.

The principal-agent theory explains precisely this area of conflict: why decision-makers (principals) and executors (agents) often do not pursue the same interests - and how this can lead to costly mistakes.

Adrian Liebetrau

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Do you have questions about "principal-agent theory"? Our expert, Adrian Liebetrau, brings years of experience in digital transformation projects to the table and would be happy to discuss the topic with you in a no-obligation consultation.

Why BI projects often fail due to a lack of transparency

Imagine a company wants to introduce a modern BI platform. The goals are clear: better dashboards, faster analyses, data-driven decisions. So an external BI consulting team is hired. But after a few months, the project stalls:

The budget is exploding.
Deadlines are not met.
Departments are dissatisfied with the dashboards supplied.
Nobody knows exactly what the problem is.

The cause? A lack of transparency and information deficits between the parties involved. But why do these problems occur so often? The principal-agent theory provides an explanation.

The principal-agent theory: Why advisors and clients often talk past each other

Principal-agent theory diagram

The principal-agent theory describes a classic challenge in BI projects:

The customer (principal) wants a functioning BI system, but usually does not have the technical knowledge to really evaluate the progress and implementation.
The consultant (agent) has the know-how, but may have other priorities or may not speak the customer's language.

This leads to information asymmetries:

Hidden information: The consultant knows more about technical details than the customer. But if this knowledge is not actively shared, misunderstandings arise.

Hidden actions: The customer cannot track exactly what the team is working on. Without transparency, there is uncertainty about costs, progress and decisions.

Podcast Episode 5: Information Gaps in BI Projects – How We Create Transparency

This uneven distribution of information leads to typical problems in BI projects:

1. misunderstandings between business and IT
The business department wants an intuitive self-service BI solution, while IT sets up a strictly regulated data warehouse. In the end, the system does not meet the requirements - and nobody noticed soon enough.

2. wrong decisions due to unclear information
Management decides on a BI tool based on a glossy presentation - without knowing that it does not fit well into the existing IT architecture.

3. time and cost overruns due to unexpected technical complexity
A seemingly simple requirement such as connecting a new data source turns out to be highly complex. But this is only communicated late - and suddenly deadlines and budgets are at risk.

4. loss of trust between customer and consultant
If customers do not feel sufficiently informed, mistrust arises: "Why is it taking so long? Why are the costs so high?" Once trust has been lost, it is difficult to regain.
How can we avoid these problems? With targeted strategies for more transparency.

Conclusion: Transparency as a success factor for BI projects

BI projects are not just about technology - but above all about clear communication. Information deficits arise when consultants and customers do not work on an equal footing. The principal-agent theory shows why transparency is crucial.

Setting clear expectations early on, communicating regularly and documenting decisions in a comprehensible manner prevents misunderstandings - and ensures that the BI project successfully reaches its goal.

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