Shelly Palmer, CEO, The Palmer Group, argues you need to be ready before you start to experiment with the treasure trove of ready-to-go tools that he suggests. How ready are you?
“To begin an intellectually honest discussion about value creation using machine learning systems, you will need to assess your organization’s data maturity as well as its readiness to accomplish its data-driven goals. You should do an audit of your data governance, data warehousing, data scientific research capabilities, and data hygiene, and you should take a close look at the sources, uses, volume, and veracity of your first-, second-, and third-party data.”
Here at TM Forum, we couldn’t agree more. To succeed with any aspect of digital transformation, you need to have a true picture of where you are now to work out the best way – including investment – to get to where you want to be. It’s why we launched our Digital Maturity Model (DMM) at TM Forum Live! (Read the rest of Shelly’s helpful article here).
What are maturity models good for?
The Forum’s DMM has been designed over the course of a year as a collaborative effort between leading CSPs, technology firms, large enterprises, public bodies and global advisory firms. By providing the right set of questions, crowd-sourced from members, rather than every CSP having to figure it out for themselves, operators can embark on their own digital journeys. The DMM is also a ‘living’ model just like all the Forum’s successful models, and one that continuously evolves. ‘Digital maturity’ is an aspirational target – something to reach for constantly, that is always changing and improving.
Below is a snapshot how far we’ve got with the five dimensions and sub-dimensions, which are collectively underpinned by 175 criteria. These will be developed and extended in the coming months, working with members and partners. You can find more information, including how to get involved, here or send your queries [email protected]