Predictive Analytics For Membership Organisations

Introduction

Z/Yen Group developed one of the first tools for Predictive Analytics more than 10 years ago. We have been working with organisations in multiple sectors including Civil Society, Health and Financial Services to improve member income and retention, increase re-joiner rates amongst ex-members, reduce volumes of unsuccessful contacts, predict the effectiveness of Grant making and reduce errors and manual input in transaction processing. Based on this experience and success, Z/Yen have developed a set of training sessions to make predictive analytics available for membership and other Civil Society organisations. There are two main types of courses:

• An appreciation course for senior managers and information leaders that explains why they need to know about this, and exactly how much they need to know themselves – so they can ask the right questions and understand the answers.

• A practical course for experienced data experts or “ninjas” with good Excel and analytical skills who want to be able to get more from data.

Develop the skills to help your organisation get more from your member data with Predictive Analytics, enabling you to:

• improve member profitability;

• increase the ROI from your membership databases;

• fill in missing data to learn more about your members;

• reduce membership churn and increase member retention;

• identify leavers with a high propensity to recommence membership;

• target members with greater accuracy – improving efficiency and reducing irritation among members.

For more information contact Ian Harris on 020 7562 9562 or ian_harris@zyen.com