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Whether you call it data preparation, mining, extracting, cleaning, joining, blending, or masking, it’s all data transformation. Professionals can spend hours every week working with their data, trying to join data from disparate sources, re-keying info from static reports or PDFs, or formatting data for accurate reporting.
Self-service data preparation tools empower users to import, transform, and export data efficiently and with vastly fewer errors than may arise in manual workflows. The right tools also enable them to automate processes to ensure consistently repeatable results.
Download this guide to help you assess your requirements and develop an implementation plan to increase efficiency and reduce errors in your data transformation processes.