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Data Transformation

To begin making sense of their data, companies must master the art and science of data transformation. Data transformation, also known as ETL (Extract/Transform/Load), is the process of converting a raw data source into a cleansed, validated, and ready-to-use form. It can turn data into timely insights that positively impact businesses.

Appropriately transformed data is accessible, consistent, secure, and seen as a trustworthy source by the intended user community. Data transformation is an essential step in the full web data integration process.

With the ever-growing volume of data available to and about your business, you have an excellent opportunity to use it to find new business value. But harnessing this data requires a conscientious data transformation strategy that orients the data around the needs of business users.

Your data transformation strategy is a function of the volume, velocity and complexity of data. We can build customised solutions for your data landscape.