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Business Analytics: The New Competitive Advantage

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Business Analytics: The New Competitive Advantage

Do you collect data on a regular basis & feel comfortable with the results?
Spend the day with Dr. Sue and find out what to
collect and how to use it to your advantage in making decisions.

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“Companies have been collecting business-related data for decades — enough by some estimates to fill a stack of books reaching to Pluto and back.  What they do with it, however, is starting to change.”

“The Benefits of Data Talking to Data: Being able to use customer information  as its being collected promises to transform a host of industries”,   Robert Plant, Wall Street Journal, April 2012]

Laptops are provided for this session. Each participant  should be familiar with Windows, Excel and the web.

High performing companies are doing more than just collecting data, storing it, and generating reports. They are building competitive strategies using Analytics. They are using data-driven insights to differentiate themselves from other companies that are making the same product or delivering the same service. Globalization and advances in technology has made it harder to compete and grow.  There is no more room for “gut-feel” decisions in any area of the company. To stay competitive, Analytics must be used in Operations, Marketing, Finance, Customer Service, IT and Human Resources. A culture of Analytics will be the winning force that keeps companies profitable and alive.

What is analytics?


Why compete on analytics?


Who uses Analytics and how?


Excel – Analytics on spreadsheets

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Build a Dashboard in Excel


Tableau – Specialized Analytics software

  • How to choose a specialized software
  • Tableau vs. Excel for Analytics
  • Building a Dashboard in Tableau


Web Analytics – Google Analytics


How to build a culture focused on Analytics

This course is designed for analysts in any function: marketing, operations, quality, customer service, IT, finance/accounting or human resources.  It is for analysts at all levels in the organization: account representatives, specialists, account managers, supervisors, managers, directors and executives.  It is just as applicable for a service organization as it is a manufacturing arena.  How do you define an analyst?  Anyone who is using data in any form and would like to improve decision making in the functions of their business – this session is for you.

Please reach out with questions or concerns. We would love to see you in the classroom.  paula.seiwert@wichita.edu

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