Big Data and Analytics

Tender description

Crown Commercial Service (CCS) as the Authority has put in place a Pan Government Collaborative Agreement for the provision of Big Data & Analytics to be utilised by Central Government Departments and all other UK Public Sector Bodies, including Local Authorities, Health, Police, Fire and Rescue, Education and Devolved Administrations. This commercial agreement is the recommended vehicle for all Big Data & Analytics required by UK Central Government Departments. Big Data and Analytics is an emerging and evolving capability, with its prominence heightened by COVID. It is fast becoming recognised as business critical and a core business function, with many Government Departments now including Chief Data Officers. The National Data Strategy and implementation of its missions reinforce the requirement to access and interrogate Government data more effectively to improve public services. This framework offers a central route to market for all Big Data & Analytics requirements. By offering a range of buying options and pricing mechanisms, it enables competitive and agile procurements across a specialist pool of suppliers. Its scope supports a range of needs, from individual niche work packages to complete data service transformations and new service builds (Lot 1); also, a comprehensive menu of related COTS software offerings (Lot 2). The supplier ecosystem created by the framework is designed to grow internal capabilities and reduce recognised skills gaps,supporting the creation of intelligent BD&A functions across the UK Public Sector. In accordance with the published procurement documents, CCS reserved the right to make any changes to the timetable of the competition: Lot 2 awards were made on 09 August 2022. Lot 1 awards were made on 20 September 2022 The Framework has been awarded for 2 years plus the ability to extend by a further 1 plus 1 year. Additional information: In accordance with the published procurement documents, CCS reserved the right to make any changes to the timetable of the competition: Lot 2 awards were made on 09 August 2022. Lot 1 awards were made on 20 September 2022