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EDW Fall 23: Outcomes-Driven Data Quality Management - Latest Best Practices

This is Subscription-Only Content, It is NOT purchasable as a separate product

Effective Data Management Professionals have always been able to straddle between the IT and business worlds. Today, businesses continue to invest in Digital Transformation, Automation, AI, and Analytics, with technology initiatives expanding beyond traditional tooling in Data Cleansing, MDM, Data Catalogs … to take advantage of the latest data storage (e.g., lake houses), data integration (e.g., streaming events), and analytics capabilities through the power of open source technologies and cloud-based scale. A common gap: how to assess and act on data quality to ensure business objectives are met and IT investments deliver value.

How do you assess if your data is fit for (business) purpose? How do you have outcome-driven conversations with business stakeholders about the state of your data quality and its impact and implement proven best practices to make tactical and long-term improvements to your data? Siloes and technology-centric data quality management initiatives are not sufficient.

By attending this session, you will have:

A deeper understanding of how data quality initiatives should be framed and presented to receive funding and deliver business value
A proven framework to assess business data quality, determine if it is fit for purpose, and communicate risks and impact
Concrete, business-centric examples to help you get started

This is based on proven implementation experiences across industries, company sizes, and geographies.

Speaker: Mehmet Orun, CDMP

SVP, Product
PeerNova

Mehmet is an accomplished data strategist, solution architect, and product leader focused on delivering effective, sustainable solutions for organizations to achieve business goals by better leveraging and managing data while minimizing time to value.

With a passion for combining best practices and emerging techniques, Mehmet brings broad perspectives through his background as a developer, data modeler, enterprise architect, solution owner, management consultant, and product executive.

An established thought leader in data management, Mehmet has been sharing his adventures at conferences for more than 15 years. He holds 5 patents, has authored the Data Management Profession Career Paths guide, and was a key contributor to the Reference and Master Data Management chapter of the DAMA DMBOK. One of his favorite quotes is, "A roadmap with only one road is not much of a map."