Data has risen to the level of being a key corporate asset, with the speed, confidence, and effectiveness of business decisions increasingly rooted in data transparency and trust. To improve data transparency, chief data officers (CDOs) and other stakeholders must focus on automated harvesting of data assets, data search and discovery and crowdsourced curation for data classification and description.
These capabilities represent a lifecycle of collection, improvement, and reuse that supports enterprise-wide data awareness and transparency. They can be stitched and integrated together using individual technologies, however most organizations prefer to use a SaaS-based catalog that serves as a platform to provide these capabilities and support various user types, from the non-technical to very technical.
