BI & Data Assurance

Ongoing senior support for companies that want greater confidence that their BI, reporting, and data are moving in the right direction.

Many companies already have reporting, modern data tools, a data hub, an internal BI team, or external delivery partners. That still does not automatically mean their BI and data environment is evolving in a healthy, sustainable way or with future business needs in mind.

In many cases, the problem is not that a solution does not exist. The problem is that the data model gradually becomes harder to manage, reporting loses clarity, implementation drifts away from its original purpose, data quality is addressed only partially, and technology decisions are made more for short-term pragmatism than for long-term usability.

The result is often similar:
something already works, but confidence is growing weaker as to whether the whole setup will remain safe to rely on in the future.

This is exactly the kind of situation BI & Data Assurance is designed for.

What BI & Data Assurance is

BI & Data Assurance is a form of ongoing senior collaboration that helps companies maintain the quality, sustainability, and direction of their BI, reporting, and data environment.

It is not delivery.
It is not an audit for the sake of an audit.
And it is not about finding problems just to open the door to another implementation project.

It is an ongoing senior layer focused on whether BI, reporting, and data in the company are evolving in a usable, sustainable way and in line with what the business will need next.

Typical situations where this collaboration makes sense

BI & Data Assurance typically makes sense when:

a company already has BI, reporting, or a data environment, but complexity is increasing
the internal team and delivery partners are building things, but no one is holding the whole picture over time
reporting works, but is becoming less clear, less trustworthy, or harder to extend
the data model has grown gradually and it is no longer clear how well it will support further development
technology decisions are pragmatic, but there is uncertainty whether they create a good long-term foundation
data quality “somehow still works,” but starts to undermine trust in outputs
the company wants to expand analytics, automation, or AI, but the foundation is not solid enough yet
no one wants to unnecessarily disrupt what already works, but ignoring real risk is not a good option either

What BI & Data Assurance helps with

It typically helps where a company needs to:

identify architectural, model, and implementation risks early
assess whether BI and the data environment are evolving sustainably rather than only through short-term pragmatism
correct blind spots in the data model, reporting, or implementation approach
evaluate solutions independently of any specific technology bias
ensure reporting remains usable, clear, and extendable over time
detect where data quality starts to undermine trust in outputs
support readiness for deeper analytics, automation, and AI
lightly mentor an internal team or delivery partner where senior course correction is needed
distinguish between an acceptable compromise and something that needs a more systematic response

Who this service is for

Typically, this service is relevant for companies that:

already have an internal BI or data team
work with external delivery partners
have invested in reporting, a data platform, a data hub, or an integration layer
are dealing with multiple BI and data topics at the same time
feel that “things somehow work,” but lack confidence in the overall direction
do not want to disrupt what already works unnecessarily, but also do not want to overlook growing debt or real risk
want more confidence that their BI and data environment will remain usable as the business develops further

What this service is not

BI & Data Assurance is not:

a replacement for an internal BI team
micromanagement of delivery partners
taking over delivery responsibility
automatic pressure for refactoring
technological dogmatism
a guarantee that nothing will go wrong

It is a service that improves the odds of moving in the right direction, helps identify risks earlier, and reduces the chance that today’s pragmatic solution becomes tomorrow’s expensive problem.

Why an internal team or delivery partner is not enough on its own

An internal BI team usually ensures day-to-day operation, delivery, and ongoing support. A delivery partner usually ensures implementation of a specific solution. Both are important.

BI & Data Assurance adds something different: an independent senior perspective, more distance from day-to-day operations, the ability to see connections across the model, reporting, implementation, and data quality, and the ability to raise uncomfortable questions before they become expensive problems.

This is not about controlling the internal team or the delivery partner. It is about adding a layer that internal environments often struggle to sustain on their own over time.

What the collaboration typically includes

The exact setup depends on the company’s situation, but it typically includes:

a regular senior review rhythm
ongoing oversight of BI direction, the data model, and the reporting environment
an independent view on architecture and technology decisions
review of the quality and usability of reporting outputs
highlighting risks in data quality, definitions, and the model
light mentoring of an internal team or external delivery partner
support in more complex or disputed situations
selected summaries and recommendations for the sponsor or leadership

The principle behind this service

Good assurance does not create change for the sake of change.

It helps a company distinguish:

what truly needs to change
what simply needs to be made transparent
what can remain as it is for now
where a light course correction is enough
and where further delay would create unnecessary risk or a more expensive intervention later

Part of the value of this service is therefore not only identifying what should change, but also confirming what does not need to change.

How the collaboration usually starts

BI & Data Assurance is typically set up as a monthly retainer.

It is not a large transformation project or a one-off audit. The goal is to create an ongoing senior layer over what already exists in the company and gradually show where a basic assurance layer is enough and where a broader scope starts to make sense.

Relationship to Executive Data Insight

BI & Data Assurance is the ongoing layer of confidence and direction.

Executive Data Insight is the higher, premium level of collaboration, focused on deeper understanding of what key numbers really mean, where their interpretation diverges across the organization, and what those differences mean for leadership decisions.

[More about Executive Data Insight]

Simply put:
Assurance protects the quality and direction of the environment. Insight brings deeper understanding of what the numbers mean.

Next step

Every company is in a different situation. In some cases, a basic ongoing assurance layer is enough. In others, there is a need for broader work around architecture, reporting, data quality, or the direction of data initiatives.

The first step is simple: look at your company’s situation together and evaluate what type of collaboration makes the most sense.

Would you like to discuss whether BI & Data Assurance would make sense for your company? Get in touch.

Mirek Černý
Data Advisor