Centre for business analytics in practice (cbap) Headquarters & Office Locations

Centre for business analytics in practice (cbap) (Private) is headquartered in Guildford, Surrey, United Kingdom. Founded in 2022, the company operates across 1 countries with approximately 125 employees worldwide.

Where is Centre for business analytics in practice (cbap)'s main office?

Centre for business analytics in practice (cbap)'s main headquarters office is located at Registry Stag Hill, Guildford, Surrey gu2 7xh. This serves as the company's primary corporate address and is home to its executive leadership team.

Centre for business analytics in practice (cbap) regional offices

Beyond its headquarters in Guildford, Centre for business analytics in practice (cbap) maintains 1 offices across 1 countries. Regional offices span 1 countries.

Centre for business analytics in practice (cbap) contact information

The main switchboard for Centre for business analytics in practice (cbap) headquarters can be reached at —. For investor relations, visit surrey.ac.uk/cbap/investor-relations.

What does Centre for business analytics in practice (cbap) do?

The Centre for Business Analytics in Practice is a multi-disciplinary research centre with the vision of using analytics for better decision-making. Our focus at the Centre is to investigate how data of any size can help organisations succeed through fact-based, data-driven, proactive decision-making. Our Centre brings together research into the methods and applications in key areas, including: Business analytics AI and big data Health analytics Operations and supply chain analytics Sustainability and net-zero analytics. The need for data-driven, better and faster solutions is more critical now than ever before. Using analytics for better decision-making has grown exponentially over the past decade. Driven by business and societal needs, decision analytics has become one of the most active research areas in academics and in industry. The tools, techniques, and algorithms used for big data projects leverage the most current, state-of-the-art methods applied in a wide variety of fields that include business and management science, computer science, statistics, data science, engineering, and mathematics.