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Specialty Programs

Business Analytics: Leveraging the Power of Data

Business Analytics: Leveraging the Power of Data focuses on turning analytics into action and answers the question of what to do with the increasingly large volumes of data your business generates and captures from transactions, operations, markets, consumers and other sources. 

Meet Dr. Wright and learn more about how you will benefit from attending this program.

Program Details

Learn directly from leading industry experts with extensive Big Data and Business Analytics experience to:
  • Understand and learn how to reduce barriers associated with developing analytically-oriented leadership and a corporate mindset
  • Gain an appreciation for the importance of data from the perspective of quality, collection, governance, and accessibility
  • Establish a business problem framing method that encourages more effective analytics, project execution, and improved implementation of insights
  • Recognize methods of developing, organizing, and managing an effective data analytics team
  • Learn about new possibilities in advanced analytics and modeling and how your company can position for these methods
  • Develop a deeper knowledge and establish patterns of information gathered from data
  • Use data in a collaborative way to improve your company’s productivity and strategic decision-making
  • Learn about the development and application of artificial intelligence for analytics systems
  • Develop a thorough understanding of the importance, potential usage, and strategic implications of data and analytic methods as it relates to your daily operations 
    and long-term corporate goals 

  • Gain insight into how operations metrics and market behaviors drive business objectives, impact future direction, and support the decision-making process. 

  • Learn how data can generate profits and affect organizational improvement
Andrew Groover speaks to the benefits of the Business Analytics Course
Why Learn Business Analytics at Georgia Tech Scheller?

Today’s high-tech, increasingly inter-connected world provides organizations access to large amounts of data on clients, customers, competitors, and partners. What distinguishes stellar businesses from their counterparts is the ability to analyze and leverage this “big data” into strategic, actionable plans critical to a firm’s viability in a highly dynamic and ever-changing marketplace. 

Georgia Tech Scheller’s Business Analytics: Leveraging the Power of Data provides participants a deeper understanding and a pragmatic hands-on approach to the processes necessary to analyze raw data, extract key facts, develop decisive insights, and capitalize on effective, evidence-based decisions. This program teaches you how to turn analytics into action and leverage an organization’s data to improve customer loyalty, drive innovation, and increase productivity.

Business Analytics Classes
Developing and Managing Data Assets
  • Importance of data as a strategic asset
  • Data types and formats
  • Quality of data, and challenges and systems for improving data
  • Data governance methods
  • Data accessibility decisions and processes
Building and Maintaining a Solid Data Analytics Team
  • Methods for building a strong analytics team
  • Skill sets and the roles they play
  • Collaboration strategies within the team and across the organization
  • Building a path to a Chief Analytics Officer role
Communicating the Data Analytics Story Across the Organization
  • Exploratory versus explanatory analysis
  • Choosing the right visuals
  • Connecting data to the key company metrics
  • Quantifying the cost and value of data in a business process
  • Communication of technical information to a senior level, strategically focused audiences
Business Intelligence and Reporting
  • Choice of metrics for reporting
  • Dashboard development
  • Distribution strategies
  • Engaging your audiences with insights
  • Building self-service systems
Business Problem Framing for Analytics
  • Importance of understanding the business problem
  • Challenges associated with framing
  • Setting expectations for analytics results
  • Methods for developing a framing template
  • Implementation and evaluation of a framing process
Advanced Analytics and Modeling Techniques
  • Importance of developing good quality models
  • Moving from descriptive analytics to more advanced techniques like machine learning
  • Advance from heuristics and thresholds to statistical models
  • Introduce personalization to every aspect of your business
  • The victory of shallow models in business
  • Tame and quantify uncertainty with proper statistics
  • Model quality assessment and improvement process
Use of Artificial Intelligence in Analytics Solutions
  • Importance of Artificial Intelligence analytics solutions
  • Types of business questions addressed through AI
  • Advancements in the field of AI designs
  • Illustrations and success stories
  • Moving toward AI systems for your organization
The Executive's Algorithms: Strategies for Making Data and Analytics Work
  • Closing the cultural gap between geeks and execs
  • Speak the language of talent and attract them to your business eco-system
  • Accelerate integration of new research to your team
  • Learn about all the algorithms that made digital revolution possible 
  • Learn about how to quantify your decision process by using modern mathematical tools
  • Orient yourself in the technology vendor landscape
Taking the Learning Home – A 100 Day Action Plan
  • Assess your organization’s analytics maturity
  • Identify areas for advancement
  • Determine next steps to advance analytics function
  • Develop goals and methods for continuous improvement
Who Should Attend

This program is specifically designed for:

  • Senior Managers, Directors, Vice Presidents, and C-level Executives involved in strategic, operational, tactical, or marketing decision-making

  • Leaders and Managers from business-to-business or business-to-consumer companies and corporations who 

       - Determine and guide corporate direction

       - Rely on data to direct and justify decisions

       - Establish pertinent key metrics 

       - Request analytics projects / insight development from others

       - Digest insights and turn them into implementable plans

Anticipated Faculty
  • Executive Director, Business Analytics Center, Scheller College of Business

Beverly Wright, Certified Analytics Professional, has spent over twenty years leading and executing Marketing Analytics and Modeling through corporate, consulting, and academic experience including roles such as VP of Analytics at an agency, VP of Voice of Client Analytics at a financial services company, and Advanced Analytics Manager at a telecommunications company.  She earned a PhD in Marketing (Research Analysis emphasis), a Master of Science degree in Analytical Methods, and a Bachelor of Business Administration degree in Decision Sciences.

  • VP, Data and Analytics, North Highland Worldwide Consulting

Dwight focuses on delivering customer and marketing intelligence solutions that help clients more closely connect with, drive higher quality experiences for, and predict the behavior of,  their customers. Passionate about the business value of advanced analytics and BI technologies, the data and analytics team is expert at data strategy, governance, master data management, business intelligence deployment, visualization and predictive modeling.

Dr Nikolaos Vasiloglou holds a PhD from the department of Electrical and Computer Engineering at Georgia Institute of Technology. His thesis was focused on scalable machine learning over massive datasets. After graduating from Georgia Tech he founded Analytics1305 LLC and Ismion Inc. He has architected and developed the PaperBoat machine learning library which has been successfully integrated and used in the LogicBlox and HPCCSystems platforms. He has also served as a machine learning consultant for Predictix, Revolution Analytics, Damballa, Tapad and LexisNexis. He has also served as a technical director at Symantec Research Labs. Dr Vasiloglou is the technical chair of the MLconf conference series. On his spare time he teaches machine learning at the Learning Machine Learning by example meetup and he helps local Atlanta startups with machine learning systems. His work has resulted in patents and production systems. In the current semester he teaches a graduate machine learning course at Georgia Tech.

Kris serves as faculty for the International Institute of Analytics and was also named Technologist of the Year 2015 by the Illinois Technology Association. 

In addition to being Narrative Science’s Chief Scientist, Kris is a professor of Computer Science and Journalism at Northwestern University. Prior to joining the faculty at Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content and context-driven information systems. Kris previously sat on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). Kris received his PhD from Yale.

Linda Read
Director of Business Development
Office: 404-385-0553
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