Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

Business Intelligence Symposium 2015

This event was held on Thursday, October 15, 2015  8:00 AM - 1:00 PM    Fee: $125

Location: 112 Lindner College of Business

Our 12th Business Intelligence Symposium will again showcase presentations from thought leaders in business analytics. Each presenter will discuss how big-data analytics can be used to give companies a competitive advantage. The event will also include opportunities for networking with other leading analytics professionals. Attendees will receive continental breakfast, box lunch and free parking.

There will be speaker presentations in the AM  and a panel discussion featuring the four speakers between 12 and 1.

Immediately following the Business Intelligence Symposium, there will be a Tableau Users Group meeting in the same room at 1:30PM.  All BI attendees are welcome at this meeting.  Click for  further information about the Tableau Users Group.

EVENT SPONSOR

Tableau

Speaker:  Sarah Denman:  Vice-President Insights and Jillian Payne, Director, Analytical Development Program at 84.51o
Title: "An Organization's Journey to Build Analytic Expertise"

Abstract: Sarah developed the analytic training program a few years ago at dunnhumby and has a good handle on what is required to build analytic chops in an organization.  She will frame up how their organization got started with  developing a large scale analytics training program for new hires before handing it over to Jillian, who will talk about her role in expanding the program beyond just new hires to the entire analytical community at the company and beyond.

Bios:

Sarah Denman has a passion for both analytics and teaching.  She has spent over 7 years analyzing transactional data for dunnhumbyUSA and 84.51°, and prior to that she spent 5 years teaching mathematics and statistics at Miami University.  During her time with dunnhumbyUSA/84.51°, she has had a variety of experiences, including the opportunity to develop the first analyst new graduate training program.  In her current role, she leads a diverse team of insights analysts who focus on pricing strategy for both retailer and CPG partners.  Sarah holds a Bachelor of Arts in Sociology and a Masters of Science in Statistics from Miami University. 

In her spare time, Sarah loves spending time with her husband and four children.   On weekends, she can usually be found at a soccer field cheering on one of her kids.  She also enjoys traveling and attempting DIY home improvement projects.

Jillian Payne graduated from Miami University in 2009 with a degree in Marketing and Decision Sciences. Upon graduation, Jillian joined 84.51° (previously dunnhumbyUSA) as an Analyst working across various parts of the business from helping Kroger get Assortment right for their best customers to answering custom analytics questions for our CPG partners. After spending 4 years in Analysis, she “off-roaded” for 2 years in a more commercially-focused Solutions role helping our clients understand the best solution to answer their business questions and helping the organization innovate the next solution we need to offer for our clients. Recently, Jillian has returned to Analysis where she is leading the Analyst Development Program for new hires and beyond.

Speaker: Andy Kriebel: Head Coach at The Information Lab's Data School
Title:   "Good to Great – Tips for Helping to Become Great with Data"

Abstract: Data is everywhere. But unless you have the skills to make sense of the data, then it’s merely a pile of numbers that take up space on your hard drive. To truly become great with data takes commitment, focus, passion, and specialized set of skills.

In this presentation, Andy Kriebel will review the tips that helped him learn about data visualisation, how he applied that to his work and life, and how you can get to the next level. Andy will then talk about how this passion led to the creation of the first “Data School” for learning Tableau and Alteryx, what they’re doing at the Data School, how these people will become the next generation of great data analysts, and what you can learn from their experience.

Bio:
Andy, a three-time Tableau Zen Master working hard to make it four, stumbled upon Tableau in 2007 when he was desperate for help to quickly create dashboards using SSAS cubes. Since then, it’s been Andy’s personal mission to help as many people as possible “see and understand” their data with Tableau, which is the focus of his role as Head Coach at The Information Lab’s Data School.

In August 2009 he launched vizwiz.blogspot.com, which provides examples of data visualization best practices, methods for improving existing work, and tips and tricks with Tableau Software. He writes two weekly series: Makeover Monday and Tableau Tip Tuesday. He also recently launched datavizdoneright.com, a site created to highlight data visualisation best practices, and is ½ of the website dear-data-two.com.

 Away from Tableau, Andy enjoys spending time with his wife and four children being tourists in their own town. You might find Andy running the streets of London, playing football, or cheering on his beloved Arsenal in a local pub. One of Andy’s goals is to become to low handicap golfer at The Information Lab.

Speaker:  Jeff Goldman, Associate Director Enterprise Data Science at Procter and Gamble
Title: "Developing Exceptional Analytic Talent"

Abstract: Analytic and Data Science Organizations drive critical competitive advantage for corporations. To leverage this potential, a company needs to build an organization that combines detailed technical and business expertise, and that has executive sponsorship that pulls them into the most critical problems of the enterprise. This presentation will look at the growth of analytics at P&G and strategies to start-up, train, operationalize, and grow analytic organizations.

Bio:Jeffrey Goldman is Associate Director of Enterprise Data Science, leading P&G’s Big Data Analytics and serving as analyst to P&G's leadership.  In recognition of his sustained analytic contribution to P&G, he was inducted into P&G’s CIO Circle.  Before his current role, Jeff led Business Analytics for Global Markets and the Western European Analytics Organization and founded and led the Market Analytics group for China and Product Supply Analytics for Asia. 

Jeff was born in Cincinnati and holds a BA in Economics and a Masters in Operations Research from Cornell University.  He lives in Cincinnati with his wife and son.

Speaker: Rex Daisey, Data Scientist at E.W. Scripps
Title: "Beyond Technical Skills - Build Your Domain Knowledge

Abstract: This talk stresses the importance of understanding the business environment in order to have a foundation to get great actionable insights from Analytics. While it is true that true analytic talent is a requirement the success of an analyst and an analytic team requires far more domain knowledge.

The presentation will help attendees:

  • Learn the business – understand and map the competitive environment; use financial reports to get key metrics and hit the ground running.
  • Manage expectations and keep your learning agenda goals focused using 'The First 90 Days' approach by Michael Watkins.
  • Learn industry trends by watching interviews and reading popular blog posts.

Bio: Rex Daisey brings over 15 years of data analytics and business intelligence experience. He is a practitioner drawing on experience leading and mentoring analytics teams in several industries: publishing, higher education, pharmaceuticals, financial services and broadcasting. Through this regular changing of environments Rex has developed and refined several techniques to quickly learn and add value.

In his spare time Rex enjoys giving back through skills based volunteering for non-profit organizations, spending time with his wife and six year old son, and following baseball. Rex holds a Master of Business Administration (MBA) from Xavier University, an undergraduate degree from Purdue University and a Professional Certificate in Risk Management from Stanford University.