Data governance is both a key priority and a difficult challenge as users seek to access and interact with more sources and types of data. Organizations need to protect sensitive data in accordance with data privacy regulations such as the European Union’s General Data Protection Regulation. However, data governance is also an umbrella initiative that includes business and IT procedures for data quality, analytics quality, tracking data lineage, security, and data stewardship. Governance helps organizations provision curated data so that business users are more productive and data scientists can develop better data pipelines faster.
Speaking of users: The other key priority in most organizations, according to TDWI research, is to increase user empowerment through self-service capabilities. To respond to rapid, unexpected changes such as those we are experiencing today, decision-makers at all levels need technologies that offer flexibility for ad hoc data exploration, preparation, visualization, and querying. How does that trend align with data governance? How do organizations balance these two priorities?
This presentation will offer TDWI research perspectives about the challenges facing organizations in trying to meet both data governance and self-service data interaction priorities. The presentation will discuss important technology trends—such as the use of data catalogs, data integration, data virtualization, cloud data fabrics, data preparation, and DataOps—to understand best practices and how organizations can determine the best strategy.