Without a pragmatic framework for prioritisng and measuring data initiatives, innovation can quickly become rudderless and invisible. The key is to identify and prioritise projects that have the best chance of success and which can deliver value fastest.
Align your data projects to where they can make the biggest impact – but never run them in isolation. Offer a clear set of short and long-term KPIs, tied to larger data and business strategies.
Beyond the micro, establish a lean portfolio-prioritisation mindset across your data initiatives, with objective criteria that can challenge results. Among the questions you should ask are what are the benefits of the opportunity? Is the data accessible – and what’s the cost of acquisition? Is this a business priority? Will a cheap and cheerful pilot prove value? Can we scale if the results are positive?
Done well, this will focus innovation and eliminate pet projects, ensuring your expensive data teams pull in the right direction.
Download our full guide ‘Power to your people’ on the six ways to put people at the heart of your data transformation.