Olga Maydanchik

Former AVP, Enterprise Data Management at Voya Financial

Olga is a thought leader and practitioner of data governance, quality and architecture with expertise in designing and implementing enterprise-wide data management programs.

Talks about

Olga engages in insightful conversations about strategising data management, focusing on data cataloging, data quality, metadata management, and a diverse array of data aspects to help different personas understand and implement these concepts.

data architecture

data catalog

data governance

data quality

data strategy

Badges

Governance Expert

Data Quality Expert

Data Engineering Expert

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Co- Authored an E-Book on - Data Conversion, Consolidation, and Cleansing—Practical Skills

The selected pages are representative of the entire course book. These pages cannot be printed.

Course Instructor at E-Learning Curve

Olga teaches two active course on Data Quality Scorecard & Data Quality for Stewards at E-Learning Curve.

Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering

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Jun 27

Why Invest Into Semantic Data Layer?

Get a detailed perspective on the reasons to invest into semantic data layer with Olga.

Data Engineering

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May 22

What Is The Difference Between Data Catalog & Data Cataloging?

Learn the difference between data catalog and data cataloging through this insightful post of Olga.

Data Engineering

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Apr 20

Data Quality Education

Online e book on data quality education.

Data Engineering

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Apr 15

Experience from 25+ Years In Data Quality

Olga shares her learnings and experience from a long career of 25+ years in the data industry.

Data Engineering

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Mar 4

Operationalizing Data Quality with Active Metadata

Shinji Kim, Founder and CEO of Select Star, and Olga Maydanchik, delve into strategies for embedding data quality into the day-to-day of your organization, making it accessible and actionable for all stakeholders.

Data Engineering

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Feb 22

Data Quality Rules Classification

The chart delineates rule families, groups, and types, serving as a resource for DQ rule developers / Data Stewards to formulate rules.

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Olga Maydanchik

Talks about

Badges

Highlights