Profile of Jen UnderwoodImpact Analytix
News & Commentary Posts: 18
Jen Underwood, founder of Impact Analytix, LLC, is a recognized analytics industry expert. She has a unique blend of product management, design and over 20 years of "hands-on" development of data warehouses, reporting, visualization and advanced analytics solutions. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data. Jen is honored to be an IBM Analytics Insider, SAS contributor, former Tableau Zen Master, and active analytics community member.
In the past, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has launched new analytics products and turned around failed projects. Today she provides industry thought leadership, advisory, strategy, and market research.
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.
Articles by Jen Underwood
Some of the keys to success with an AI implementation may seem basic, but they really can make a difference.
Once organizations accept that citizen data science is inevitable, it's time to ensure that it's implemented responsibly.
For all of the promise that AI and machine learning have for an enterprise, you won't realize the technology's potential if data scientists blather in data science speak.
New tools allow business users -- not just data scientists -- to leverage algorithms and venture into machine learning. But, handle with care because the choice of bad data means bad results.
Advancing through the digital era with a greater use of self-service analytics doesn't mean that you have to trash proven analytics tools and techniques.
Whether you are happy, grumpy, excited, or sad, a computer wants to know and can initiate affective analytics.
The collision of emerging technologies and new enterprise strategies is bringing dramatic change to the world of analytics.
Are you ready to take the leap into an analytics career? Here are some keys to getting started.
Even as enterprises explore how artificial intelligence can help their organizations and people discuss the relationship between humans and software, automated machine learning tools continue to simplify deployment across all layers.
The AI and advanced analytics conversation has risen all the way to C-suite. The time has come to act. Jump on the AI train soon or you will be left behind.
The already-devastating hurricane season highlights the need for predictive analytical models that account for exceptional events.
The next step in analytics -- augmented analytics -- brings automation and new degrees of insight into an analytics initiative.
Understanding the EU's GDPR guidelines is valuable knowledge for anyone in a data related profession.
There can be some nasty budget surprises in what seems like a simple, low-priced, SaaS business intelligence offering designed for non-technical users.
We have entered the immersive age, where machines are controlled with human gestures and voice, and the concept presents an exciting future for analytics.
Improvements in the technology and adoption of new data concepts are enabling more enterprises to take the leap into real-time analytics.
Bots are carving out a new role in analytics, utilizing natural language generation to address questions raised by business people and consumers.
If self-service business intelligence initiatives are on your agenda, follow these 10 best practices for ensuring proper governance.