I noted in my previous post (a reply to Justin) that one important caveat we want to consider in building a model of member lifetime value in a credit union context comes from understanding quite common — and unfortunately irrational —…"
In the context of member lifetime value, I’m thinking of profitability in a broad — but financial — way. It’s about net revenue to the credit union (with all the considerations you suggest), to the exten…"
The practice of sharing online banking access seems to anticipate some of the “consumers-are-king” thinking that’s fueling initiatives like PSD2. I’d like to think that smart, progressive credit unions can win in that environment…"
Essentially, geocoding involves the process of tagging the addresses of members or prospective members (or sites of interest, including competitor locations)…"
STCU manages a strategic analytics roadmap that plots trajectories mostly in three areas — BI for management, BI for member experiences, and BI for the future. In the first bucket we document our intentions for dashboarding and other init…"
I can't speak for others, but I'm just adventurous enough (or stingy enough) that I'm headed down the path of doing just 2500 addresses a day with the Google Geocoding API as implemented in Hadley Wickham's "geocode" function…"
Per-FTE measures, acquisition cost metrics, churn figures — they're all extremely useful but, if I have one very modest concern, it's how they're so very focused on efficiency. Ge…"
I tend to agree that a segment of of our members (large? small?) equate personalization with relevance and will embrace it as quickly as we can deliver it. They're happy if not anx…"
Liberty Lake, WA
R&D Strategist looking to embed business intelligence into credit union services for improved member experiences.
Areas of Interest
Analytics Models, Retail, Digital Products