Data Preparation

Ensuring the data is suitable for analysis.

The data in business systems is not usually in a format suitable for business intelligence and analysis purposes and it is generally necessary to process it in order to make it so.

Typical activities include:

  • Connecting to the original data sources and extracting data
  • Transforming the data
  • Blending or merging data from multiple sources
  • Aggregating data
  • Deriving new data suitable for analysis
  • Cleansing the data
  • Categorising and enhancing data with metadata
  • Loading the data into a data warehouse or other repository
  • Doing all of the above on-premise, in the cloud or a mix of the two

Halpenfield has the tools and expertise to perform all of these activities and we do so on a regular basis, often loading data into a data warehouse which we have designed and built for the customer.

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