Enterprises of all sizes are embracing new analytics initiatives at an unprecedented pace, transforming how they interact with customers, employees, and other business partners. And I believe this is just the beginning.

In 2022, the speed of digital innovation will only accelerate. As a result, enterprise leaders will need to take on new roles and responsibilities as the demand for data and analytics continues to grow.

Data and analytics leaders move into the spotlight

Organizations are making considerable investments in data management, from infrastructure to advanced analytics. But tech is only part of the answer. Even the best-in-class data solutions will fail if they are not helping organizations drive meaningful results.

Analytics becomes a crucial skill 
But years ago, anyone could crunch the numbers themselves using spreadsheets – a familiar tool they could readily access. Now, back-end tech has become sophisticated and complex. Consequently, fewer people in the business can access and produce insights, which is a considerable problem when analytics is in high demand.
Responsible AI becomes a priority

The challenge of AI implementations at scale? At the outset, it works based on the available data and human understanding. But as new data enters the equation, the models change. If left unchecked, they can create unintended consequences – some obvious and others not yet known.

Take dating apps as an example. Millions of people use online dating apps powered by predictive models, which users train with each swipe left or right.

Leading the way in digital transformation

Technologies like AI will increasingly become part of everyday life. But sustainable transformation can't happen with technology alone. Instead, it will be up to enterprise leaders to maximize the benefits of data and analytics for organizations, employees, and consumers alike.