Analysis and Prediction

For situations where you need a clearer view of what is really happening in the company, a better estimate of likely future development, and stronger support for what to do next.

Not everything a company needs to know is visible in standard reporting.

Sometimes it is necessary to go deeper — to capture the company’s reality more clearly, understand the underlying patterns, estimate what is likely to happen next, and in some cases decide what makes more sense to do.

That is what Analysis and Prediction is for.

What I typically help with

Most often, this means helping with situations where you need to:

capture more precisely what is really happening in the company
move beyond standard reporting toward deeper understanding
use analytical reporting or interactive dashboards where they make sense
uncover patterns, connections, and weak points that are not visible at first glance
estimate the future development of an important variable or behavior
get stronger support for a high-impact decision
use recommendation or prescriptive approaches instead of only describing the past
automate decision-making where that genuinely makes sense

Forms of work that make the most sense

Analytical reporting

For situations where the goal is to better capture and explain what is really happening in the company — not just to show another table or chart.

This may take the form of:

focused analytical reporting
interactive dashboards
deeper views of performance, behavior, or development
work around what actually matters for decisions

Prediction

For situations where you need to estimate what is likely to happen next — for example in demand, revenue, customer behavior, or performance.

Recommender systems and automated decision-making

For situations where estimating the future is not enough and you need to recommend or automatically choose the next action, offer, priority, or response.

Prescriptive analytics

For situations where the goal is not only to understand what is happening or what is likely to happen, but to decide what makes the most sense to do next.

What the output looks like

The goal is not only to deliver a technical model or calculation.

The output may take the form of:

analytical reporting or a dashboard
concrete insight into the problem
a prediction of future development
explanation of the main drivers
scoring or recommendation logic
an automated decision rule
a recommendation for next steps

The point is always the same: practical decision value from data.

Where BI and data warehousing fit in

Analysis and Prediction often depends on a strong data foundation.

Where it makes sense, I can also help with:

follow-on BI solutions
data modeling
data warehousing
and architecture that enables analytics to work reliably over time

This is not always necessary.
But when deeper analytical work needs a stronger foundation, this layer matters too.

When it makes the most sense

This type of collaboration is especially useful when:

you already have data, but want more than standard reporting
you are dealing with a specific high-impact decision
you need to estimate what is likely to happen next
you want recommendations or automated decisions from data
you need practical value, not just another table, model, or dashboard

How we discuss collaboration

A short introductory meeting or message with context is usually the best first step.

We will look at:

what exactly you need to capture, understand, estimate, or decide
what data is available
and what type of analytical work makes the most sense

Mirek Černý
Data Advisor