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

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

What to measure

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

Break

Technologies

1. Overview of key systems
2. Overview of key analytics tools
3. Case Study –  A data journey
4. Table discussion                                   

Prediction and forecasting

1. Predictive modelling and risk                         
2. Case Study                                                      
3. Table Discussion                                  

AI and it’s use

1. 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.