BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240329T152829Z DESCRIPTION:Click for Latest Location Information: http://dgiq2020.datavers ity.net/sessionPop.cfm?confid=139&proposalid=11893\n
As part of our in-house developed 7 Steps to Data Governance, we identified key drivers to ensure successful engagement from all stakeho lders to agree upon business definitions and usage context. This build s a foundation of trust by facilitating resolution in areas of disagreement . Having top-down and bottom-up methodologies prompts participation and tak ing responsibility for the maintenance of glossaries. Senior leaders need t o know their data is reliable as they are held accountable, and individual business lines need to know data is accurate and fit for purpose for day-to -day decision making. This process includes agreed-upon standardized report ing methodologies that ensure “one version of the truth.”& nbsp;Lastly, hard-to-retain data scientists need high-quality and reliable data to feed their models. They should not be frustrated by spending their time cleaning and deriving meaning from otherwise unfamiliar information. p>\n
We will cover:
\n\n Business glossaries: marching towards data governance – our in-house developed process\n Multiple business glossaries, single glossaries and data dictionaries &ndas h; why they are needed, how they are built and how they should interact\n Data lineages: writing down the recipe in the family cookbook\n Quality documentation helps unleash advanced analytics by demystifying busi ness data for data scientists who need to understand business context for m odel development\n Do not be afraid to start your journey via spreadsheet – get the proc ess right, and then find the right tool\n\n DTSTART:20201208T163000 SUMMARY:From Design to Reality: How to Build Business Glossaries in a Compl ex Operating Environment DTEND:20201208T171459 LOCATION: See Description END:VEVENT END:VCALENDAR