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The data cycle for SMEs: from collection to final analysis

Transforming data into valuable insights starts with the execution of these four steps: 

26 Aug 2025. 10:44
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Tags

  • SME maturity
    Middle
    Topic
    1. Análisis de datos
    Scope to digitize
    1. Support processes

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Transforming data into valuable insights starts with the execution of these four steps: 

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Data Cycle

Step 1: Gathering data. 

Identify the essential data (sales figures, customer details, asset conditions…) and the methods for its collection (forms, spreadsheets, ERP systems...) 

  • Google forms, LimeSurvey, Excel, HubSpot Free. 

Step 2: Preparation and cleaning of data. 

Ensure accurate analysis by checking for errors, removing redundancies, and addressing any omissions. 

  •  OpenRefine, Google Sheets validation, Excel filtering. 

Step 3: Data Transformation. 

Transform data into practical formats (CSV, Excel…) and standardized units (date, currency…) 

  • Power Query, Tavula, Pandoc. 

Step 4: Analysis and visualization of data. 

Examine and illustrate data to derive insights for enhancement. 

  • Datawrapper, Metabase, Looker Studio. 

 

Discover the concealed potential within your data and leverage it to enhance your business decision-making. 

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