What stage has your organisation reached on its data maturity journey?
The Sage data office was formed towards the end of 2021. Since then, we have set a company-wide data vision and strategy and built both a core ‘data office’ team and a virtual ‘data leadership’ team, representing areas across the organisation, to help us on our journey. We are successfully raising awareness of the crucial role data must play in delivering our ambitions and business strategy, as well as the operational importance of data to our business and our customers. We have aligned our data teams across Sage on the key objectives that will remove barriers to success and accelerate the commercial opportunities data presents.
The data journey isn’t one we can take alone as a data office, we need to take our employees across the business with us, therefore, it is vital our colleagues understand how data impacts them and contributes to their success in delivering value for our customers and partners.
Recently we have launched a colleague data pulse survey to gauge opinions on how our colleagues think about data – including how important it is to our business and how it impacts their roles on a day-to-day basis, and where there is room for improvement. We are positive about the difference we are making and are starting to see a change in our colleagues’ thinking and a desire to get directly involved in our data future.
Tell us about the data and analytics resources you are responsible for
The Sage data office has three core concerns that the team is built around: value, care, and enablement. My team is accountable for enabling our data ambitions and enabling our colleagues to drive value from data through effective, future-proof architectures and the right data foundations and tools.
My team consists of three parts: a data architecture team, a data management team, and a data transformation team. The team is focused on establishing standard patterns, and common data models to simplify our data foundations and underpin our ability to deliver value faster and reduce complexity. The data transformation team is exploring the art of the possible through data science and working on AI/ML opportunities with our more data-advanced colleagues.
