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Enhanced data quality and reduced errors.
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Increased computer and end-user accessibility.Improved data organization and management.Some additional benefits of data transformation include: All teams within a company’s structure benefit from data transformation, as low-quality unmanaged data can negatively impact all facets of business operations. Benefits of data transformationįrom a general perspective, data transformation helps businesses take raw data (structured or unstructured) and transform it for further processing, including analysis, integration, and visualization. This article will explore the data transformation process, how it contributes to the broader processes of data integration, as well as new data transformation technologies. Consequently, many companies are searching for alternative data integration processes and data transformation tools that help improve the data quality, readability, and organization company-wide. However, as more and more companies adopt cloud-based data storage ( IDC reports that today 67% of enterprise infrastructure is cloud-based), the data transformation process must follow suit. Likewise, companies can improve their data-driven decision-making by streamlining their data management and integration processes through data transformation. The data transformation process is an integral component of data management and data integration. Data transformation involves converting data from one format into another for further processing, analysis, or integration.