Ted Corbett – CEO and Founder
Ted is passionate about bringing order to chaos. For over 15 years, he has developed innovative business solutions through robust visualization and data mining.
As Director of Knowledge Management at Seattle Children’s, Ted’s team developed data visualization, warehousing and reporting solutions to support every facet of their operation. He led the successful launch of Tableau for Children’s, adding more than 100 active developer users in the first year. This resulted in vast improvements in supply chain management, OR utilization, research funding and IT operations.
Prior to Children’s, Ted was a Senior Manager at Hitachi Consulting where he led the Pacific Northwest BI community team and delivered BI solutions to a wide range of companies including Microsoft, Starbucks, WaMu, Qwest and others.
Ted has a Bachelor of Science from the University of Colorado and an MBA from the University of Washington. He also has a wife named Erin, a daughter named Riley, a son named Finn and a dog named Tater. He’s passionate about them too.
With 20 years of management, consulting and training experience in data analysis, data warehousing and business intelligence, Liz is committed to helping organizations unite analyst-driven BI initiatives with both legacy and modern data foundations.
Throughout her career, she has successfully delivered hundreds of BI solutions to Fortune 500 companies leveraging technologies from Oracle, Microsoft, SAP, and Tableau across the following industries. Liz’s experience spans multiple fields including healthcare, high tech, media and retail.
She’s an International speaker on BI and has trained thousands in the art of making sense out of the chaos in a data-driven world. She was also lead author of Business Intelligence: Making Better Decisions Faster. Microsoft Press.
Liz graduated from Northwestern University with a BS in Environmental Engineering and was an instructor at University of Washington’s Extension Certificate Program in BI / Data Warehousing.
She truly is passionate about data, but tries not to talk about it too much at dinner parties.