Data and analytics are essential to driving your Association’s success. Your membership data contains invaluable insights into the behaviour of members and opportunities to increase engagement and revenue. This session will address the use of data in your Association, key technologies, what to measure and analyse, and how to forecast.

In this session, you will gain and understanding of:

Tthe different uses of data – automation, reporting, prediction, compliance & audit and how mature your Association is in its use of data.
What you need to measure and how to grow membership and engagement – renewal, recruitment, service usage, engagement scoring
Common technologies used for data analytics – PowerBI, Tableau, Dashboards, Google Analytics
How data can be used to predict the future and assess risk
Considerations around ethics and the use of data
AIs – ChatGPT, CoPilot, Tableau Pulse - and their use in membership

Session Format

Overview of Data

Uses of data (automation, audit, analytics, prediction)
Data Strategy
Data and Ethics
Table Discussion - Data Maturity Model and self-assessment (with group participation)

What to measure

Standard measures - recruitment, retention, progression, engagement, cash flow, sensitivity, variation over time
Case Study
Table Discussion

Break

Technologies

Overview of key systems
Overview of key analytics tools
Case Study – A data journey
Table discussion

Prediction and forecasting

Predictive modelling and risk
Case Study
Table Discussion

AI and it’s use

ChatGPT, CoPilot, Gemini, Tableau Pulse, and current uses by membership organisations

The format and content may be adapted to more closely match the requirements of delegates as provided in the input form.

Marco Noordegraaf

www.acsaudiovisual.com

Attending

7. Association Data Analytics