How to avoid a nervous breakdown when the numbers get messy.
Why this article, you ask? Because there's often a gulf between the promise of informed decision-making and the reality of an Excel spreadsheet that doesn't quite add up. The IT department is on the front line, caught between business departments wanting autonomy and the need to ensure data reliability and security.
If your daily life resembles a battlefield where each department has its own encrypted truth, make yourself comfortable. This guide is for you. We're going to talk about real life, the one where BI can quickly become a nightmare if it's not controlled. And if you dream of a BI that simplifies your life rather than complicating it, this article might just give you the keys to achieve it.
1. Artistic ambiguity: the recipe for chaos for the IT department
A «messy» BI is, first and foremost, a lack of clear vision. For the IT department, it's the worst-case scenario.
- No clear BI strategy? Brilliant! Each department will choose its preferred tool, its data sources, and its own indicators. Result: a cacophony of figures and endless meetings to ascertain «who is right».
- Data governance: a fuzzy concept? Perfect! Let users figure out the definitions. The same «margin» will have 10 different meanings. Good luck with the global analysis.
- Wild architectures: the Wild West of data. Disjointed workflows, parallel databases, Excel files circulating by email... the IT department becomes a firefighter running after blazes.
The guaranteed effect? A loss of data credibility, and therefore of the IT department.
2. Self-service tools (without instructions or after-sales service)
Self-BI is all the rage. Great. Except for IT departments, it can quickly turn into a headache if autonomy rhymes with abandonment.
- Tools all over the place, not integrated? Bingo! Departments are equipping themselves without coordination. The IT department has to manage 15 different licences and 10 types of connectors.
- User training: an optional extra? Excellent! Expect poorly optimised requests that crash servers, dashboards that display nonsense, and endless calls to support.
- Modelling standards: an urban legend? Fantastic! Each report is a unique work, impossible for another department to maintain, audit, or understand.
The inevitable outcome? Hidden costs that spiral and productivity that plummets.
3. Safety and compliance: trivial details
For a messy BI, the IT department must necessarily neglect security and compliance.
- Data access: a widespread open bar? That's a given! Allow sales staff to access salaries, and HR to access sales figures. Data leaks will be an everyday occurrence for you.
- GDPR and other standards: for large companies, not for us? Wonderful! Ignoring these regulations exposes you to hefty fines and a significant reputational crisis.
- Auditability: the big absentee? Perfect! Impossible to know who did what, when, and how. Ideal for avoiding responsibility.
The consequence? Legal and reputational risks that could seriously harm the company, and the IT department.
4. Generative AI: a Swiss Army knife with no instructions
The integration of AI (like Copilot) into BI is a revolution. But for IT departments aiming for chaos, it's a goldmine.
- Unqualified data sources for AI? Let it go! AI will draw from dirty, outdated, or unvalidated data. Its answers will be as reliable as the weather, down to the minute.
- Professional vocabulary: a mystery for AI? That's the point! AI will not understand the subtleties of your internal jargon and will generate absurd interpretations.
- Usage control and monitoring: a waste of time? Absolutely! Never follow what users ask of the AI, nor what it replies to them. You will discover the errors far too late.
Imagine the picture: decisions made based on «facts» generated by a poorly briefed AI. Disaster guaranteed.
5. The IT Department: a service provider (or a simple executor)
The modern IT department is neither, if it wants to avoid chaos. It must be a strategic partner.
- «The IT department is there to click buttons.» Reduce her to an execution-only role. She will not participate in strategic discussions, and her expertise will be underutilised.
- «It's up to the business to define everything; the IT department just has to implement it.» Let the trades design technically impossible or inefficient solutions. The IT department will become a bureaucratic nightmare.
The solution? Close collaboration, where the IT department brings its technical expertise and global vision, being proactive in making suggestions. Without this, the BI project is flawed from the outset.
6. Steering adoption: an abstract concept
Deploying a BI tool is one thing. Getting it adopted is another. For the IT department that wants it to fail, the strategy is simple:
- No adoption plan? Useless! Believe that users will naturally flock to the new tool, without continuous training, without communication, without support.
- Usage measurement: after the flood? Obviously! Wait six months, a year, then realise no one is using the tool. It's difficult to correct course once the damage is done.
- User community: a sweet dream? Forget it! Don't create exchange points or best practice sharing. Everyone will remain in their own corner with their problems.
Result? No ROI on what is often a significant investment.
7. Governed BI, a project? No, a culture!
The IT department that succeeds with BI knows that it’s not a sprint, but a marathon.
- Treating BI as a «one-shot project»? The surest way to fail! Once the tool is «delivered», consider the job done. The BI will never be updated, business needs will change, and the tool will become obsolete.
- Ignore cultural change? That's the key to disaster! Adopting BI demands new habits, a new way of working with data. If the IT department doesn't support it, resistance will be strong.
Modern BI is a living ecosystem. It must evolve, adapt, and be constantly nurtured.
The moment of truth: is your BI governed or a mess?
Here are some indicators for the IT department:
- When you are asked for a figure, it's a bit of a lottery: You have three different versions and no one knows which one is correct.
- Your users are complaining about being lost: «I don't know which report to use», «where is the right data?».
- Your BI tools are isolated silos: Each team has its own, and nothing communicates.
- Your AI Copilot tells you fables: And nobody knows why or how to fix it.
- You spend your time fixing bugs or managing access: instead of creating value.
- A compliance audit is your worst nightmare.
Fortunately, there's an alternative to chaos. For IT, this is an opportunity to become a true data architect. To transform your BI into a strategic lever, we offer you a tried-and-tested framework:
- Define a Clear Governed BI Strategy Set up a sound governance (roles, responsibilities, validation processes) and a Robust data architecture (unified semantic model, reliable sources).
- Framing Self-BI: Give some full formations, des Pre-built data models and some Best practices to empower users without abandoning them.
- Secure and Harmonise Implement a Rights Management (RLS) rigorous and ensure the Regulatory compliance from start to finish.
- Mastering AI in governed BI: Qualify your data for AI, build a data dictionary and supervise the uses of your AI assistants to ensure the reliability of responses.
- Become a Strategic Partner: Work closely with the business areas, understand their needs and translate them into sustainable technical solutions.
- Steering Adoption and Evolution: Measure usage, implement a Continuous adoption plan, run a user community and evolve your BI platform.
Is your BI an asset or a burden? The decision is yours.
👉 Contact us for a personalised demo and discover how to build BI that truly addresses your company's challenges!
