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impactanalytix

Career Summary:

Jen Underwood, founder of Impact Analytix, LLC, has 20 years of experience in “hands-on” development of data warehouses, hybrid data integration, reporting, dashboards, and predictive analytics. In addition to keeping a constant pulse on the analytics market, she has held product management roles on the Microsoft SQL Server Business Intelligence and Power BI teams. Jen also was honored to be a former Tableau Zen Master.

Throughout her career, she has helped customers select and succeed in adopting new technologies. She has launched new analytics products and turned around failed projects for organizations, systems integration firms and industry vendors. Today she provides advisory, thought leadership, go-to-market strategy, technical product management support services, market/competitive intelligence, technical writing, content development, training, and event presentations for a wide variety of clients, financial investment groups, research firms and cloud SaaS/software companies.

Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego.

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From the Blogs
May 22, 2017
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Chief Data Officer Playbook: How to Be Successful in This Ground-Breaking Role

Companies looking to grow and extract value from their data are increasingly turning to Chief Data Officers (CDOs) to execute their data strategy. The role is new, and a playbook is necessary to address the many challenges CDOs face....More
May 12, 2017
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5 Common Challenges to Building BI in the Cloud

After spending 20 years building analytics, BI and database solutions, I've focused on Cloud data solutions over the past 2 years. I've chosen 5 common challenges that I face every day with Cloud migrations and that you'll face in your Cloud BI projects....More
Sep 15, 2016
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Power BI Desktop “Publish to Pyramid Server” Button

Many organizations today cannot use public cloud solutions because of security concerns, administrative challenges and functional limitations. However, they still need a centralized platform where end users can conduct self-service analytics in an IT-enabled environment....More

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