Mirek Cerny | Data Advisor
Mirek Cerny | Data Advisor
My name is Mirek Černý, and I work as a Data Advisor.
I help companies at the point where they already have BI, reporting, or a data environment in place, but lack greater confidence that they can rely on it safely over the long term.
I most often work with companies where:
These are exactly the situations where I help companies better understand their data reality.
Today, I structure my work mainly around two forms of collaboration:
BI & Data Assurance
An ongoing senior layer over whether BI, reporting, and data in the company are evolving in a usable, sustainable, and sound direction.
Executive Data Insight
Deeper work on the meaning of key numbers, differences in how they are interpreted across the business, and the impact of those differences on leadership decisions.
Simply put:
Assurance protects the direction. Insight brings deeper understanding.
Across more than 25 years in data and BI, I have worked on dozens of projects across different industries and environments. Over time, I kept confirming the same thing: in many companies, the real problem is not the absence of reporting or technology. More often, what is missing is confidence.
Confidence that:
That is why I no longer focus on delivery as such.
I focus on what is often missing between everyday delivery and leadership decision-making: senior judgment, an independent perspective, and the ability to distinguish between a healthy compromise and real risk.
I started with data projects in retail and moved into Business Intelligence, data warehousing, and corporate analytics very early on. Over time, I worked with companies and groups in the Czech Republic and abroad, including environments such as retail, finance, logistics, FMCG, telecom, manufacturing, and services.
I worked on reporting, data warehouses, advanced analytics, prediction, prescriptive analytics, and team leadership. Because of that, I now understand not only numbers and models, but also how compromises, blind spots, and decision tension actually emerge inside companies.
That is essential to my role today. I do not come in with theory alone. I bring a perspective grounded in practice from environments where data, BI, and business management collide with real complexity.
What matters most to me in this work is openness to a factual and honest discussion.
The best work happens where people are not locked only into their own part of the system, their own history, or the complexity the company has gradually built around itself. Real progress usually does not come from questioning everything. It comes from being able to openly discuss what works today, what is no longer sufficient, and what needs to be understood differently.
I am not an advocate of unnecessarily disrupting things that already work. At the same time, I do not believe that complexity in itself is a sign of quality. Very often, it is more important to distinguish what is truly essential, what is simply habit, and what is being kept in place mainly through inertia.
At the same time, I know how sensitive these topics often are. This is not only about data, models, or reporting. These are often areas that affect trust, management, and the responsibility people carry inside the company. That is also why I try to enter these situations with respect, calm, and the awareness that this is not a theoretical discussion, but something highly practical and often core to how the company works.
Over the course of my career, I have seen companies that had reporting in place, but lacked analytics, lacked data as a discipline, and lacked clear ownership of data. The data existed, but remained somewhere between business and IT, without a true shared competence that could make sense of it over time.
I have also seen many situations where companies believed that technology alone would solve their data layer for them. That buying a tool with connectors, pulling data from source systems, and then clicking through dashboards would be enough. But the fact that data can be transferred and displayed does not automatically mean it is safe to rely on in running a company.
Between source systems and leadership decision-making, a connector and a visualization are usually not enough. What is needed is a layer that holds the meaning of the numbers, the logic of the model, and the long-term usability of the environment for reporting, management, and further development.
And I have also seen the opposite situation — companies where data and reporting gradually revealed more than was comfortable at first sight. Not because the data itself was the problem. But because it exposed differences, limitations, or realities that had remained hidden for a long time.
That is what I consider one of the greatest values of working with data: when it is handled well, it does not just add another layer of information. It helps a company see reality more accurately, even when that is not entirely comfortable.
Perhaps you already feel something similar in your company, but it still does not have a clear name. Reporting works, BI is running, data exists — yet the question remains whether all of it is solid enough for further decision-making and development.
That is exactly the type of situation I help companies with today.
And I am also very aware of how sensitive these areas are. When a company allows me into topics that its key numbers, reporting, or trust in decision-making depend on, it involves a certain degree of openness on their side. And on my side, I take seriously the responsibility that comes with that kind of trust.
That is why I do not try to be just another outside voice. I try to be a partner who helps name things more clearly, maintain perspective, and distinguish what truly matters.