This might take the form of:

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• A dashboard so that you can interact with the data.

• Reports, delivered to recipients or a particular location, or obtained through self-service. They could take the form of charts, a spreadsheet, a text-based document or a combination of formats.

• Alerts, for when you want prompt and/or intrusive notifications.

Common examples;

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• Collecting data from a specific location or website at regular intervals.

• Transforming the data so that it is 'clean', 'complete', formatted in the appropriate way and ready for use.

• Merging or comparing multiple datasets that do not cleanly align.

• Feeding the data into Business Intelligence items, such as dashboards or reports.

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Alongside these activities we typically create a central data store that ensures information is organised and accessible.  This  also helps establish a single source for each dataset.

• Statistical and quantitative analysis

• Categorisation/classification

• Predictive modelling

• Natural Language Processing

We use data to recommend actions that can help achieve specific business objectives such as:

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• Improving customer retention

• Exploiting up-selling and cross-selling opportunities

• Reducing operational issues

• Reducing costs

• Reducing risk exposure

• Improving employee engagement

• Establishing KPIs