Data Quality: Best Practices for Collaboration

Posted November 6, 2014 in Business Agility & Software Engineering Excellence

As a senior manager, you set priorities and determine whether these recommendations are implemented. Ensure all parties engage and coordinate to get data quality the attention it needs at the right time and place in the project. In this Advisor, we highlight some best practices for collaboration.

Data Knowledge Network Collaborating with Project Management

To begin, you must understand how your data knowledge network affects project management:

About The Author
Danette McGilvray
Danette McGilvray is President and Principal of Granite Falls Consulting, Inc., a firm that helps organizations increase their success by addressing the information quality and data governance aspects of their business efforts. Focusing on bottom-line results, Ms. McGilvray and her team promote the intentional management of information assets with the same rigor used to manage other company assets such as products and human and financial… Read More
Masha Bykin
Ms. Bykin has spent two decades practicing software engineering, IT architecture, data warehousing, and business intelligence in the diverse industries of contact center, software, automotive, and insurance services. She spent three years on a data governance program, working directly with business to initiate and evolve the program, which supported many projects and had broad organizational participation. In her current role as Data Delivery… Read More
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