- Slides: 14
GIVING ANALYTICS Analytics that Impact
GIVING ANALYTICS Session Description: You are invited to be a part of an engaging, interactive session focusing on giving analytics. Members of the ACS Technologies product management team will facilitate a discussion around what data attendees are gathering, which metrics they are using, and what questions they are most trying to answer. Attendees are encouraged to bring (generic/nonprivate) examples of the metrics/reports they currently utilize.
Presenter: Brett Herzog Director of Product Management, Analytics brett@acst. com @Brett. JHerzog
VISION FOR ANALYTICS The purpose of the analytics product suite is to help churches and organizations explore and understand their data – asking questions along the way, to discover issues & opportunities that by answering will be enable the church to better execute their mission & vision.
SESSION GOALS What we will accomplish/learn. . . Why Giving Analytics are important What Giving Analytics can provide How other people/groups are using Giving Analytics and the benefits they have gained Spur some thoughts/ideas on how our organization could use them Numbers are boring. People are interesting.
GIVING ANALYTICS Why Giving Analytics are Important and What They Provide
BIBLICAL FOUNDATIONS Bible is not shy in talking about money or finances. Over 2, 000 verses related to finances. OT, Jesus and the NT church spoke openly about it. One key overarching biblical principle: Money does not “cause” behavior…it “reveals” what is already in our hearts.
WHY USE GIVING ANALYTICS? Giving is often a good indicator of commitment and engagement Giving is often the “fuel” for church ministry Analyzing giving behaviors & patterns can be an important factor in understanding the dynamics of your church Due to its consistency, structure and availability Giving analytics is a good place to start Although giving is good place to start, there are many other areas that are key as well (groups, serving, etc. )
ANALYTICS FRAMEWORK Are we measuring the right things?
ANALYTICS FRAMEWORK 1. What question are we trying to answer? What problem are we trying to solve? 2. Does what we’re tracking help us answer that question? And how does it do so? 3. Is our analysis easy to understand? 4. Is the analysis actionable?