Data & Analytics · 5 min
Data analytics for better decisions
Data analytics is the analysis of company data to extract information useful for making better decisions. It turns raw numbers — sales, customers, operations — into concrete indications of what works, what does not and where to act. For a company it means replacing intuition, where possible, with evidence-based decisions.
Key points
- Data analytics turns raw data into evidence-based decisions.
- Value comes from making data understandable and actionable.
- Analyses range from descriptive (what happened) to prescriptive (what to do).
- Start from business questions, not from indiscriminate data collection.
From data to insights
Having data is not enough: value comes from turning it into understandable and actionable information. This requires collecting reliable data, organising it and presenting it clearly, so that decision-makers can understand the situation and act, without being overwhelmed by numbers.
The types of analysis
Data analysis answers different questions depending on its depth.
- Descriptive: what happened? (reports and dashboards).
- Diagnostic: why did it happen?
- Predictive: what might happen?
- Prescriptive: what should we do?
Getting started without overcomplicating
You don't need a large infrastructure to start. You begin with the most important business questions, identify the few data points needed to answer them and build clear reports. From there you grow: the mistake is to collect everything without knowing which questions to answer.
FAQ
Do I need a team of data scientists to start? +
No. You can start with reports and dashboards on the data you already have, answering the most important business questions. Advanced skills are needed for more sophisticated analyses.
What is the most common mistake with data? +
Collecting everything without knowing which questions to answer. It is better to start from a few key questions and the data that really helps answer them.
What is the difference between descriptive and predictive analysis? +
Descriptive tells you what happened (historical reports); predictive estimates what might happen, using past data to anticipate trends.
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