It’s no surprise that AI investment is a key focus, but to succeed enterprise organisations need to remember that AI technology is only as good as the data you feed it. Every part of an organisation needs to be able to trust the data they receive from any other department is of high quality. For this to happen, there should be clear processes for assessing, cleaning and validating data as necessary, and these should be consistent across the business. Implementing data governance policies is essential for this, setting out organisation-wide rules and assigning clear lines of responsibility to ensure that all data collected is consistent, accurate and complete to make the most out of AI investments. 

For a firm to effectively make decisions using digital behavioural data, the employees need to have the skills to understand, analyse and apply that data. Data can and should inform almost every aspect of a business, so data literacy should not be contained within a single specialist team. 

Businesses should promote a data-first perspective throughout the organisation, as well as identify existing weaknesses such as where decisions are being taken without the data to back them up. A business that uses data successfully will work on building the confidence of all employees across all teams in working with data and data tools.