Nancy Couture

Opinions expressed by ICN authors are their own.

Nancy Couture has more than 30 years of experience leading enterprise data management at Fortune 500 companies and midsize organizations. Her focus has been on enterprisewide data management architecture, data governance, data quality, data warehousing and business intelligence capabilities.

Nancy recently moved into consulting as delivery enablement lead at Datasource Consulting, a Denver-based firm focused on delivering on all aspects of enterprise information management.

Previously, Nancy was vice president of business intelligence at SquareTwo Financial in Denver. She and her team successfully developed and utilized agile methodologies in building out enterprisewide solutions, including an enterprise data warehouse, a robust analytics and reporting environment, and integrated analytics solutions.

Before her time at SquareTwo, Nancy was vice president of data management solutions at UnitedHealth Group in Connecticut, where she developed and managed three enterprise-level data warehouses for healthcare analytics over the course of 30-plus years. In that role, Nancy was recognized for her leadership and ability to execute innovative approaches to data management.

Nancy has presented at many conferences on data management topics over the years, owns a patent in data mapping technologies, and has published several articles for the TDWI Business Intelligence Journal. In 2007 and again in 2015, her respective teams won the TDWI Best Practices Award in Enterprise Data Warehousing.

The opinions expressed in this blog are those of Nancy Couture and do not necessarily represent those of IDG Communications Inc. or its parent, subsidiary or affiliated companies.

Data governance – Proving value

How data governance can support data privacy compliance

How data governance can support data privacy compliance

Organizations that already have a data governance capability in place have a solid head start and can leverage it to facilitate many aspects of data privacy compliance.

Implementing data governance – 3 key lessons learned

Implementing data governance – 3 key lessons learned

Even though data governance can be somewhat fluid and iterative in its development, following best practices and designing a thoughtfully positioned roadmap can help ensure success.

Data governance: the start of something wonderful

Data governance: the start of something wonderful

Data governance enhances business engagement, shared understanding, focus and alignment, bringing an ever-increasingly disconnected data environment together, and providing data value optimization across many EDM initiatives.

Assess before you leap

Assess before you leap

Organizations are ensuring their enterprise data management initiatives with proper data governance.

Why data governance?

Why data governance?

Data governance used to be a nice to have, but due to the increasing focus and importance of data and analytics, it’s becoming a necessity that helps to drive data management across the enterprise.

Data governance: The discover phase

Data governance: The discover phase

Starting with a discover phase for your data governance initiative will provide you with a greater probability of success.

Data governance in the world of “data everywhere”

Data governance in the world of “data everywhere”

With data sources, uses and solutions on the rise, data governance is becoming even more important. But what are the phases of a successful and scalable data governance program?

Can data governance be agile?

Can data governance be agile?

Many organizations are now recognizing the need for data governance but are still struggling with the right way to structure it. A good approach is – be agile!

Tip No. 5: Show appreciation and have fun!

The fifth tip for successfully creating and leading agile data management development teams.

Tip No. 4: Know the details, but don't get into the details

Tip No. 4: Know the details, but don't get into the details

My fourth tip for successfully creating and leading agile data management development teams is to keep your hands off your team's project and let them manage the details themselves.

Tip No. 3: Provide coaching and advice as needed

Tip No. 3: Provide coaching and advice as needed

This is a continuation of my series on "Five Tips for Leading Agile Data Management Development Teams." Here, I discuss the third tip: Provide coaching and advice as needed — to both self-managing teams and individual team members.

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