Analytics for Small Business
You don’t have to play with the big boys and girls to use their tools. Learn what you need to get started
Data analytics can offer smaller enterprises a significant competitive advantage — if they are willing to go where others fear to tread. Machine learning tools, for example, allow firms to analyze huge volumes of information and identify patterns that challenge marketing assumptions. Many of these tools are within reach of budget-sensitive business owners.
In this webinar, Stephen Thomas, director of the Master of Management Analytics and Master of Management in Artificial Intelligence programs at Smith School of Business, offers an easy to understand introduction to analytics for small business.
Participants will learn:
- Differences in analytics needs, capabilities, and skill sets between small and big businesses
- How small businesses can get started, including which tools to use and how to source pertinent data
- A number of analytical methods that small businesses can leverage, with potential impact for each
- How one small enterprise is using analytics strategically
Session Leader
Dr. Stephen Thomas
Executive Director (Analytics & AI Ecosystems) & Distinguished Teaching Fellow of Management Analytics
A recognized expert on AI and analytics, Professor Thomas teaches on natural language processing, machine learning, database design, big data and mathematical analysis. His research has been published in prestigious technology journals. He holds a doctorate in computer science and consults with companies in the areas of AI, big data and text analytics.