Why Your Data Management Strategy Isn’t Working

The most effective way to formally govern business processes is to apply governance to the process rather than redefine the entire process. This is one of the core tenets to Non-Invasive Data Governance and it assumes that your business processes are defined in the first place. In this month’s RWDG webinar, Bob Seiner will address how to apply formal Data Governance to existing processes and how to engage governance communities when defining new business processes. There is a distinct advantage to taking the Non-Invasive Approach to apply governance to business processes and Bob will detail this advantage during this month’s webinar.

Join data management guru Dave Wells for this educational webinar on the data catalogs role, and how to get the best fit for your enterprise.Managing data in the age of big data and self-service analytics is a complex job. Managing data without a data catalog is difficult and fraught with risk. Data cataloging is the new gold standard for metadata and an essential component of modern data management. Data catalogs support data curation and data stewardship with intelligent and automated tagging, profiling, and linking to business glossary. They help business analysts and data scientists to quickly find data and evaluate the fit for their specific use cases. Strategically, cataloging is at the core of data asset management with direct impact for data governance, regulatory compliance, and analytic quality and efficiency.

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.

Key topics discussed during the webinar: *Data in Motion pitfalls and opportunities *Validating data doesn’t equate to slowing down your process *Comparing and contrasting approaches *The missing link in data governance explained