W120: Data Fitness: Get Your Data in Shape for 2021

Title Data Fitness: Get Your Data in Shape for 2021
Date Thursday, December 10, 2020
Time 3:30 pm (Eastern Time)
Description Data has become increasingly important over the last decade with the likes of Forrester, Gartner, Forbes, and ASAE citing the benefits of utilizing data to drive decisions as well as the costs of failing to do so. The emergence and lasting effects of COVID-19 has only increased the urgency and necessity of making full use of data and analytics as we adjust to a rapidly shifting landscape with many unknowns.

But what does making use of your data mean, and how does an organization actually do it?

Join us in this session to learn the steps to getting your data in shape for 2021 to inform decisions, adapt to the changing post-COVID climate, and better meet your members and customers’ shifting needs.

Instructor Name Jay Yeo, ORI Results
Instructor Name and Bio: Jay Yeo is a consultant and analyst skilled in ensuring client success across diverse qualitative and quantitative research and analytical projects. Ms. Yeo supports various associations, commercial firms, and government agencies by managing structured and unstructured analytical projects, including data benchmarking, collection, modeling, and visualization in alignment with clients’ strategic goals. She is adept at utilizing advanced text analytics methodologies for associations and has presented at several association forums including ASAE, Higher Logic Super Forum, and digitalNow.
Level Intermediate
CPE (NASBA Category) Statistics
CAE (Field of Study) Organizational Strategy
Prerequisites
Delivery Group live presented online due to COVID-19
CPE/CAE Credits 1.5
Cost: Free
Learning Objectives (minimum of 3)
  • Understand the potential sources of data and the benefits of using them in conjunction with one another
  • Identify the data infrastructure needed to support data-driven decision-making
  • Learn how to assess the state of organizational data
  • Determine how to remedy any gaps or data weaknesses
  • Explore possibilities for data use and application

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