Capitalising on data and analytics requires more than advanced technology and processes, it demands an effective data and analytics project team of business and technical experts, working cohesively to support the organisation. BoomData has partnered with many clients to optimise and complement their existing team structures and identify gaps. Based on our experience, to deliver a successful data and analytics team there are 12 key roles, each with their own unique set of responsibilities that need to be filled. Depending on the size of your organisation, level of data maturity and available skills, your team may consist of a mix of both internal and external resources.
In this ebook we’ll guide you through what to consider for your data and analytics team structure providing a guide to help focus on what’s necessary to support decision making across the organisation. In particular examining:
- 12 key data and analytics roles for a successful project
- An indepth look at the responsibilities of each role
- Tips for Data Leaders on how to build an effective data and analytics project team