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#79

Podcast

Posted on Jun 23, 2016 by Dave Mastovich

79: Dr. Lisa Walters Part 2

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It’s Part 2 of our conversation with Dr. Lisa Walters MT(ASCP)SBB, CQA (ASQ), MBA, PhD. She has extensive experience in cGxP auditing and consulting, including medical labs, transfusion services, tissue banking, plasma collection, and blood services. She’s a faculty member of State University of New York at Fredonia and Penn State-Erie, Center for Continuing Education. She was the principal of Healthy Solutions Consulting and began her career in Quality Assurance with the American Red Cross. She’s also a published author.

What have you learned from BS in the workplace?
When trying to acclimate, I found myself presenting data in the most positive light to fit in. I hit a point in my career where I stopped playing the game. I made it about legitimate data.

Marketing Success:
It’s easy to present problem data, but a group of us present contextual data – putting it together as  a full package. It gives a better, more thorough picture. I believe in giving beyond what is expected.

Big Idea: Compliance
Regulatory compliance. My dream is to develop the model for compliance. What makes one organization compliant and one not compliant. It has become very benefit for companies falling under consent decrees, which can be very costly for companies. I want to create a predictive model that helps to define the major contributing factors to better define compliance.

Tool or Tip:
No matter what business you are in. Start to collect some type of data to better visualize your business. The Pareto Principle.

Hit the Bullseye:
Aflac Duck
Can You Hear Me Now
Jake from State Farm
UPMC: Life Changing Medicine
KFC: Finger Lickin’ Good
Plop, Plop, Fizz, Fizz

Sights & Sounds of 2000
Big Data – 10 billion of exchanges of data on Google every day

Keys to Data:
Volume – Bronto bytes
Velocity – Speed that it occurs
Voracity – Uncertainty in data
Variety – Lots of data from different areas and how it fits together
Value – we’re a data rich world, but we need to get value out of what we’re learning from the data.

On Gathering Data: “Do not let  perfect be the enemy of good.”

 

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