Independent senior oversight of BI and data initiatives, helping companies make sure the chosen direction is delivered in a usable, trusted and sustainable way.
Insightee helps protect the direction, quality and business usefulness of reporting, data models, BI projects, architecture and supplier outputs while the work is being prepared or delivered.
BI and data projects often start with the right intentions. There is a business need, budget, tool, supplier, team and expected outcome.
Yet during delivery, the work can drift. Reporting may become harder to trust. The data model may grow too ad hoc. The supplier may focus on completion rather than long-term usefulness. Business, IT and finance may understand the same requirement differently.
BI & Data Assurance provides an independent senior layer that regularly checks whether the chosen direction is still sound and whether the outcome will be useful, understandable and reliable in practice.
In simple terms: Advisory helps you decide what to do. Assurance helps you make sure the chosen direction is delivered in a usable, trusted and sustainable way.
In many BI and data initiatives, the visible question is whether the project will be delivered.
The more important question is often different:
Will the delivered solution actually help the company manage, decide and act better?
A BI project can be technically finished and still remain weak in practice. Reports may exist, but people may not trust them. Dashboards may look good, but not support real decisions. Data may flow, but the model may be fragile, unclear or hard to extend.
Assurance helps identify these risks early, when they are still easier to correct.
BI & Data Assurance is especially useful where:
a significant BI or data project is already running or entering delivery,
leadership wants greater confidence that the chosen direction is being executed well,
an internal team or supplier needs regular independent senior challenge,
reporting is being built or expanded and the company wants to protect its usefulness,
the data model or architecture is becoming too ad hoc during delivery,
business, IT, BI teams and suppliers understand the goal differently,
a project affects finance, controlling, sales, operations, group reporting or management decisions,
the company wants to avoid being fully dependent on the supplier’s view of quality,
data and BI work should create stronger foundations for analytics, prediction or AI.
We regularly check whether reports and dashboards being designed or delivered support real management, operational or analytical decisions — not only whether they exist or look good.
Typical questions:
What decision should the report support?
Who is the report for?
Is the structure understandable?
Is the right level of detail available?
Does the report create clarity or only more views?
We check whether key metrics used in the initiative are clearly defined, understood and applied consistently enough for the resulting reporting to be trusted.
Typical questions:
What exactly does the KPI mean?
Is the calculation clear?
Do business, finance, IT and BI understand it in the same way?
Are the limitations known?
Could different interpretations lead to different decisions?
We check whether the data model being created can support reliable, repeatable and scalable reporting.
Typical questions:
Are facts, dimensions and metrics structured clearly?
Are calculations placed in the right layer?
Is the model understandable and maintainable?
Is the solution becoming too report-specific or ad hoc?
Will it support future analytical needs?
We check whether data is fit for the intended use and whether known limitations are visible before they become hidden decision risks.
Typical questions:
What are the known source data limitations?
Are there inconsistencies between systems?
Are code lists, dimensions and master data reliable enough?
Are historical changes handled properly?
What decision risks follow from data quality issues?
We check whether the solution being designed or delivered fits into the company’s broader data architecture and can remain useful over time.
Typical questions:
What is the role of source systems, DWH, datamarts and BI layer?
Are data flows understandable?
Is history handled correctly?
Can the solution scale?
Will future changes be manageable?
Many BI problems are not only technical. They come from different expectations, unclear ownership or weak translation between business and data teams during delivery.
Typical questions:
Do stakeholders understand the goal in the same way?
Are business requirements translated into data requirements correctly?
Are supplier proposals being challenged enough?
Are risks visible to leadership before they become expensive?
Are decisions being made by the right people with the right context?
BI & Data Assurance is usually a longer-term cooperation model. It is not a one-off audit, not a takeover of project management and not a replacement for supplier responsibility.
Depending on scope, it may include:
regular participation in selected project or steering meetings,
review of assignments, proposals, reports, data models or architecture,
challenge of supplier proposals and assumptions,
identification of risks and recommended corrections,
consultations with business, IT, BI teams, finance or suppliers,
concise summaries of important findings,
recommendations for next steps and priorities.
The concrete mix depends on what the company needs. The defining feature is continuity: Assurance keeps returning to the selected initiative, risks and outputs so that quality and direction are not checked only once.
BI & Data Assurance can become a monthly retainer when the company needs ongoing oversight of important BI or data initiatives that are being prepared or delivered.
That does not mean the company has to start there immediately.
A short initial discussion is free. It is used to understand the situation at a high level, decide whether there is a fit and choose the right next step. It is not a substitute for a paid consultation or deeper work on the topic.
After that, the company can continue with a paid consultation or a structured starter package before committing to a broader retainer.
Entry path:
| Step | Best for | Fee |
|---|---|---|
| Initial discussion | orientation and fit | free |
| Focused assurance consultation | senior outside view on one active BI/data initiative, proposal or delivery risk | CZK 7,000 / hour |
| BI & Data Assurance starter package | structured assurance review of one selected initiative, report, model or delivery direction | CZK 70,000 / 12 hours / 3 sessions |
| BI & Data Assurance retainer | ongoing assurance over selected BI/data initiatives during preparation or delivery | typically from CZK 150,000 / month |
The paid entry steps are not a smaller version of the full service. They are a practical way to test the value, clarify the first area and decide whether a regular BI & Data Assurance retainer makes sense.
A BI & Data Assurance starter package should focus on one selected area. The goal is not to review the entire data environment.
Possible focus areas:
one important BI project already being prepared or delivered,
one supplier proposal before it becomes the delivery direction,
one reporting area being redesigned or expanded,
one dashboard or reporting pack being built,
one data model or analytical layer being created,
one data quality or metric definition issue affecting delivery,
one decision point where the chosen direction needs independent challenge before it goes further.
Typical result:
clearer view of whether the selected initiative is on a sound path,
first view of key risks in direction, data, metrics, model, architecture or supplier assumptions,
comments on design, delivery direction or quality risks,
questions that should be clarified with business, IT or supplier,
recommendation whether to continue through advisory, architecture work or BI & Data Assurance,
practical proposal for the next assurance scope.
BI & Data Assurance helps increase the chance that chosen BI and data directions are delivered as outcomes the company can actually use and trust.
Typical benefits:
greater confidence that the chosen direction is being executed well,
earlier visibility of risks in data, metrics, models, architecture or supplier proposals,
better connection between business needs and technical solution,
higher usefulness of reporting for management and decision-making,
clearer communication between business, finance, IT, BI teams and suppliers,
stronger assignments and better supplier outputs,
lower risk of technically completed but practically weak solutions,
better long-term sustainability of BI and data foundations.
Data & BI Advisory helps clarify the situation and decide what to do next. It provides senior perspective, consultation and support for selected questions, decisions or priorities.
BI & Data Assurance starts once there is a direction, initiative, proposal or delivery path that needs regular independent challenge. It is not only about being available for advice, but about repeatedly watching the quality, risks and direction of selected BI or data initiatives.
Executive Data Insight focuses mainly on leadership, key numbers, their meaning, differences in interpretation and decision confidence.
BI & Data Assurance focuses mainly on the quality and direction of BI and data initiatives: reporting, data models, architecture, supplier outputs and risks.
The two services may complement each other. In practice, their topics can partly overlap depending on retainer scope and client priorities.
BI & Data Assurance is usually delivered as part of a monthly retainer.
The scope depends mainly on:
number of BI or data initiatives under assurance,
phase and complexity of the projects,
number of involved teams and suppliers,
scope of reporting, data model and architecture,
expected meeting rhythm,
level of review, preparation and follow-up,
form and frequency of summaries or recommendations,
whether the cooperation also includes broader advisory or executive insight topics.
The CZK 150,000 / month level should be understood as the typical starting point for proper BI & Data Assurance cooperation, not as a fixed package covering every possible situation.
We select the BI or data initiative, reporting area, project, supplier proposal or delivery path where independent assurance can create the most value.
We look at goals, assignments, stakeholders, systems, data sources, suppliers, architecture and expected outputs.
For longer cooperation, we agree how often we meet, which meetings should involve the assurance layer and what form outputs should take.
The goal is to identify risks early, bring senior perspective and help the chosen direction become a usable, trusted and sustainable outcome.
Send a short description of what BI or data projects you are dealing with, what direction has been chosen or proposed, what phase they are in and where you need more confidence.
We will first have a short initial discussion and then decide whether it makes sense to continue with a focused assurance consultation, the BI & Data Assurance starter package or a broader monthly retainer.
Good BI is not only about delivered reports. It is about whether the company can rely on the outputs for management, decisions and further development.
