Analytics & BI
BI Systems Audit
I run an independent assessment of your analytics: data quality, warehouse architecture, dashboards and integrations — with a concrete improvement plan.
Problems it helps surface
Benefits you get from the audit
An independent picture
You get an objective, outside assessment of your BI — not a view from inside the team. It's clear what works and what needs attention.
A prioritized plan
I deliver a list of improvements sorted by impact and effort. It's clear what to tackle first and what can wait.
Trust in the numbers
I check the reliability of the data and the consistency of metric logic. You'll know whether you can rely on the dashboards for decisions.
Identified bottlenecks
I show the specific reasons dashboards lag and the ETL is unstable, and how to relieve each bottleneck.
Causes of costly support
I find what makes the system complex and expensive to maintain — the basis for cutting the cost of changes and the risks of evolving it.
Quick wins
I separately flag improvements that can be implemented quickly and with minimal effort. Some of them you can realistically do yourselves.
How the audit runs
- 01
Kickoff and context
We discuss the goals of the audit, the key questions of the data and the areas of concern. We agree on the access needed and the scope of the system to review.
- 02
Map of the BI system
I map the BI: sources, warehouse (DWH), ETL processes, data marts and dashboards. This is the basis for understanding how the system fits together as a whole.
- 03
Data quality check
I check the reliability and consistency of the data, looking for discrepancies and places where numbers may be computed wrong. I document where the distrust of reports comes from.
- 04
Architecture and performance
I assess the data model, the design of the data marts and the speed bottlenecks. I look at where the architecture gets in the way of working fast and evolving.
- 05
Review of dashboards and metrics
I analyze metric logic, calculation correctness, usability and actual dashboard usage. I flag duplicated and contradictory logic.
- 06
Report and improvement plan
I prepare a report with findings and a prioritized action plan. I present and defend the results and answer the team's questions.
Projects
Analytics platform for the digital agency YA AGENCY
Analytical data warehouse and dashboards for Ash
End-to-end analytics and infrastructure migration for WiseAdvice-IT
Dashboards for the SaaS platform Entera
Analytical data warehouse for a chain of bars and restaurants
Analytical data warehouse for the Neolombard pawnshop chain
Unified data warehouse and dashboards for the delivery service Edostav
Data warehouse for the financial analytics project VISUALSECTORS
Clients
Testimonials
An independent BI audit is a diagnostic. I look at your system from the outside: I check the warehouse architecture, the quality and reliability of the data, the performance and usability of the dashboards, and the robustness of the integrations. The goal isn’t to rebuild everything from scratch, but to understand the real state of your BI, to find the bottlenecks and the reasons numbers aren’t trusted or dashboards aren’t used. At the end you get an objective picture and a prioritized plan: what to fix first, what can wait and where the quick wins are. This helps you make decisions based on data, not feelings, and avoid investing in evolving the system before the foundation is fixed.
What an audit costs
An audit is a package of work with a scope agreed in advance and a clear deliverable: a report of findings and a prioritized improvement plan, with no hidden charges. Two formats are possible: an express audit — a fast diagnostic of the key problems — and a full audit — a detailed review of the entire system. The final cost depends on the scope and depth of the review.
Shall we discuss your task?
FAQ
Why an audit, if it's already obvious the system is slow? +
You see the symptom, not the cause. It can be slow because of the data model, heavy queries, weak materialization or an unstable ETL — and the cure differs in each case. The audit shows exactly where the bottleneck is and in what order it makes sense to address it.
Do I have to grant access, and is it safe? +
A meaningful review needs access to the dashboards, data marts and, ideally, the warehouse and ETL. Read-only rights are enough — I won't change anything in your system. We agree on the scope of access at the start; it can be limited to a test environment or anonymized data.
How long does an audit take? +
It depends on the format and the scope of the system. An express audit is a fast diagnostic of the key problems; a full audit takes longer because it covers the architecture, data and dashboards. I give exact timelines after the kickoff, once the scale is clear.
What do I get at the end? +
A report with findings on data quality, architecture, performance and dashboards, plus a prioritized improvement plan. I flag quick wins separately. I present and defend the results in a meeting and answer the team's questions.
Do you then fix the findings yourself, or just deliver the report? +
The core deliverable of the audit is the diagnostic: the report and the plan. Fixes are separate work, and you're free to do them yourselves following the plan. If you'd like, I can take on implementing the improvements or building and refining dashboards as a separate service.
Does the audit work for any BI tool? +
Yes. The assessment approach is tool-independent — Power BI, Qlik, Tableau, Looker Studio or Metabase. I check the same things: data, model, performance and dashboards. I know the stack I work in myself most deeply, but the audit logic is universal.