Digital transformation revolves around data. It’s now well known that to be successful in any industry you need to be focused on data and analytics, you need to be making investments in these areas, and you need to be putting in place the fundamentals. We’ve seen lots of organizations do exactly that.
But now many organizations are striving to extend those investments. They may have delivered an individual project or one very focused initiative, but now the goal is to amplify that and scale the value of data and analytics more broadly throughout the enterprise and beyond, and make the initiatives core to the business.
It means finding ways to infuse data and analytics into the next highest priority business processes or line of business, or to form the basis of new customer experience, transformative business models and revenue streams. It means driving these investments more deeply in the areas where you have already been focused.
This means you need to take the best practices you have gained in your initial data and analytics initiatives and capabilities, and transplant them to other parts of the business. It means getting more people and more teams on board with using those capabilities. It means extending the reach of your data and analytics beyond the borders of your enterprise to engage customers, suppliers, and other third parties that you interact with to likewise gain benefits from or engage with the data and analytics capabilities that you’ve developed.
There’s also an element of scaling relating to organizational structure and leadership. Growing the size and the reach of your data and analytics teams, bringing more of the right skills into those teams, and engaging more roles in a distributed way across the business to be a virtualized part of those teams.