The 3-Step Digital Transformation Strategy That Can Increase Your Order-to-Cash by >30%
I ran across a technique that would have accelerated our customer onboarding speed and our cash cycle at RSi while we grew from $8M to $60M.
I binged on Prof Wil van der Aalst's work in Process Mining to study how. Also, I wanted to see if I could find a repeatable framework to achieve a 30+% increase in onboarding velocity.
40+ hours later, here’s what I learned:
Quick Stats About Process Mining
Here are a few points to give you the context in case you are unfamiliar with Process Mining:
So... what can we learn?
3-Step Framework For Increasing Velocity
From my research, people used a simple process:
Let's dig in:
领英推荐
Step 1: Collect Data
Process Mining begins with Data Collection.
To do this, identify sources for 3 must-have elements:
Other optional data are helpful, like End Time and Resource Name. Most ERP systems will have these data and other systems like WMS and MES. For monitoring external manufacturing processes, use the "data exhaust" from your EDI messages.
Step 2: Modeling
Most Process Mining tools (links in the comments) will create the process model. The tool will also highlight the constraints. See the screenshot; in this simplified PO process - 50% of the transactions need rework, and the step before is a bottleneck in the end-to-end process.
Step 3: Elevate the Constraint
With the identified constraints
At RSi, I did all the work manually - knowing about process mining would have improved our cycle times by >30%, and it is certainly something I am adding to my toolbox.
Using the three steps on an ongoing basis should help drive massive value from your digital transformation efforts.?
III, CMU SV : : Author: Leadership Lessons with The Beatles : : Cofounder, Retail Solutions (Now part of Circana) : : Mentor : : Author, "Roots and Wings": : DTM : : Non-Profit Board Experience
2 年Thanks for sharing, Karl!
helping B2B SaaS companies deliver superior customer value
2 年Links Starting Point https://processmining.org/ <-full list of tools here https://www.coursera.org/learn/process-mining Tools I found useful https://github.com/TheWoops/awesome-processmining https://fluxicon.com/