The terms data science and data analytics are often used interchangeably, but they describe different kinds of work. Knowing the difference helps you hire the right skills.
Data analytics looks at what happened
Analysts examine historical data to explain trends, build reports and dashboards, and answer specific business questions.
Data science predicts what might happen
Data scientists use statistics and machine learning to build models that forecast outcomes, classify information or recommend actions.
Typical skills
- Analysts: SQL, spreadsheets, visualisation tools and business knowledge
- Data scientists: programming, statistics, machine learning and experiment design
- Both: curiosity, clear communication and attention to data quality
Which do you need?
Most organisations should build strong analytics first. Predictive models are only as good as the data and understanding underneath them.
Analytics and data science work best together. Solid reporting creates the foundation that advanced modelling builds on.
Need help putting this into practice?
Our team at Ingata Technologies can help you plan, build and support the right solution for your organisation.
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