In our most recent study, a minority group (15%) of organisations are using their data to achieve a mix of environmental, social and governance (ESG) as well as financial goals. These, ‘Data Leaders’, could be the blueprint for a kind of business that is both ethical and profitable. Data leaders enact successful data-first strategies enabling them to quickly gain insights and advance innovation to stay ahead of the competition in a responsible way.
To become a Data Leader, organisations are assessed on these four key pillars:
Front and centre in an ever-evolving IT infrastructure, data management is the secret to success across your business. From increased revenue and employee productivity to effective forecasting, innovation and future performance.
Data Analytics & AI tools extract knowledge from your data to build tangible benefits. Such as opening your business up to new opportunities, new markets, and delivering a more personalised service.
Cybersecurity tools are at the top of the investment priority list for business leaders, with data security their biggest concern as data continues to grow at astounding rates. Peace of mind comes from smart data protection solutions.
Threats like the energy crisis, global warming, income inequality, and other macro trends like pandemics, and rising operational costs leave us all in tough times. Doing more with your data to benefit humanity is key to becoming a data leader.
The top 15% of organisations setting the blueprint for other businesses on how to get the most out of their data.
Using data insights to make vital decisions across the business with an appetite to do more.
Understanding the big data picture and the benefits of a data-led approach. Looking for the best ways to put data to good use.
Planning to modernise and become more data-centric with efficient and sustainable data management.
Take the 20 questions quiz to find out. See how you’re positioned across the four pillars of data leadership, and use this knowledge to identify any gaps, and define the required next steps to build a data-first culture.