Data transformation

<h5>What is data transformation?</h5> <p>Data transformation refers to the conversion of raw data from one source/format to a different, ready-to-use source/format, so the data can be automatically transferred from one type of file system to another. With data transformation, digital assets can be converted to run on a different platform, and programs can be converted from one computer language to another.</p> <h5>What are the business benefits of data transformation?</h5> <p>Leading-edge data transformation processes and tools can foster multiple business benefits, including:</p> <ul> <li><b>Usability.</b> Data transformation enables organizations to collect and structure large volumes of information, making it easier to utilize and facilitating better business decisions.</li> <li><b>Quality.</b> When data is properly formatted, validated and managed, its quality improves, minimizing (or even eliminating) “bad data” issues like metadata inconsistencies, indexing errors, incompatible formats, duplicates and missing values.</li> <li><b>Efficiency.</b> A state-of-the-art data transformation tool can consolidate integrations, as well as improve data efficiency, by producing data exchanges among APIs and cloud applications—all in a single, simple platform.</li> </ul>

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