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Events and Webinars

DIA Webinar Recap: Advanced Analytics Governance – Effective Model Management and Stewardship

By Melanie Deardorff

This month’s Data Insights & Analytics webinar focused on best practices and vetted approaches for ensuring that analytics governance is integrated with existing data governance processes, policies, operating model management and data stewardship.

Nearly 200 information management professionals joined the webinar, part of our monthly series with DATAVERSITY, to hear presenters Kelle O’Neal and FSFP consultant John Ladley.

Kelle started the call with a definition of analytics governance, which encompasses the areas of algorithm governance, model management and reports governance. She asked the webinar audience if they’ve experienced any of these things in their organization:

  • The “same” report derives different results
  • Data is shared cubicle to cubicle
  • Data is used inappropriately and inconsistently
  • A lack of trust in data leads to re-validation
  • Multiple data marts house the same “golden record”
  • Tracing data origin is a forensic exercise

Kelle covered the differences in analytics governance and data governance related to the areas of usage, timing, technology, content and participants and reviewed several data and analytics governance structure scenarios.

She offered her perspectives on how data governance and data management facilitate analytics, including they:

  • Provide a focus on data as a foundational asset of the company so that it can be used in multiple ways effectively
  • Define data standards to ensure data consistency
  • Map data from source to target and identifies transformations
  • Create rules, standards, policies and processes for data cleansing and validation
  • Articulate most trusted and timely data sources to facilitate data sharing
  • Identify potential data irregularities and creates a process to resolve them

John reviewed First San Francisco Partners’ data governance best practices and how to adapt governance for different analytics use cases. He and Kelle outlined the typical roles in an analytics group and in a data governance group — and showed how some of the roles and responsibilities will overlap. John showed examples of how an organization’s maturity level will come into play when deciding how best to align analytics and Business Intelligence strategy.

An example of a Data & Analytics data governance structure from the DATAVERSITY and First San Francisco Partners webinar on April 5, 2018.

Download Webinar Material

As they say, there’s more to the story of our April 5 webinar. If you’d like to listen to the full audio recording, visit DATAVERSITY’s on-demand library. You can also download the presentation from SlideShare.

For more recaps like this one from our webinar series, including links to recordings and material, view our Data Insights and Analytics archive on our blog.

Up Next Month: Data-Centric Analytics and the Data Supply Chain

We hope you can join us for next month’s webinar, Data-Centric Analytics and Understanding the Full Data Supply Chain, on Thursday, May 3. To be notified of future Data Insights & Analytics programs and other news from our company, share your name and email here.

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