Revenue or Cost?
I spent over seven years in manufacturing before making the transition to healthcare and then finally to financial services. My first job after finishing an engineering degree, with GE Plastics, was to try and determine how to increase output. Fast-forward to my last two years at GE and I was an MBB managing a $50 million dollar year-over-year cost reduction budget. Six Sigma, in the world of manufacturing, and to some extent healthcare, was about cost reduction. So when I made the shift to financial services it took a while to realize that cost reduction was not the best Six Sigma strategy. Revenue enhancement projects were significantly more rewarding (financially), and easier to identify. I will focus on one main reason (there are several) behind this difference and that is the cost breakdown in these two sectors:
Labor and material are some of the largest cost contributors in manufacturing. Staff on the production line can make upwards of $60-$75 K / year and this does not include overtime. As for material – I would rue the day that we would reject a machine at our final inspection point. Talk about a big loss after all the labor and material that was put into producing a machine. So it made good sense to focus the Six Sigma effort on simplifying a process or reducing process waste. Compare that to a lending institution or a bank: their largest expense is not labor (unless they are extremely decentralized) or material, but cost of funds.
So instead I have learnt to focus on “Time to Cash” or “Cross-Selling” or “Conversion” projects. These projects are purely focused on revenue; they are focused on the occurrence: once you get a customer in-house, how to make sure that you keep them and get the most value from the relationship. The difference between cost reduction vs. revenue enhancement projects in financial services is the difference between saving several thousand (if you are a large enough institution, several hundred thousands) or millions!
S. Shaffie ProcessArc, Inc. - Financial Services Six Sigma