May 19, 2020
Data continues to grow rapidly in volume and diversity; meanwhile, users in every corner of the enterprise are demanding data for strategic and operational decisions, customer interactions, developing predictive insights, and collaborating on business processes. As more users analyze and share data, concerns about data privacy, security, and governance are rising.
These trends are putting pressure on data preparation—the sequence of activities that take data from raw ingestion through profiling, collection, integration, cleansing, transformation, enrichment, and governance to make it ready for users.
Organizations must establish an enterprise data preparation strategy that balances the flexibility self-service users want with the consistency, quality, and governance that modern, centralized enterprise data preparation offers.
This TDWI Checklist discusses eight considerations aimed at enabling you to accelerate time to value with modern enterprise data preparation.