This roundtable discussion is to inform the development of data science and analytics platform capability across UK policing, following on from an earlier event in April.
Policing needs improved data science and analytics capacity in many – if not all – of its operations. There are plausible and urgent opportunities locally, regionally and nationally, with partners and other agencies, for front-line digital investigation and intelligence, to manage demand and resource, for mainstream policing and for specialist capabilities.
Choosing the right model for harnessing data science expertise in a mature enterprise is tough enough. Centralised hubs foster cross-functional expertise and consolidated platforms; capacity aligned to individual business units may have a greater understanding of organisational goals. Various models, from centres of excellence to federation, allow businesses to steer a middle path. But this challenge in the police service is exacerbated by its structural complexity, and the breadth of the smarter data requirement.
Policing’s decisions on how to structure and deploy data science resource will have a major impact on their choices of technology platforms, affecting data ingestion and warehousing assets as well as analytics and visualisation tools. The object of the current research is to ensure that these technology consequences are considered at the outset, with implications for cost, efficiency and the growth of data science capability taken into account.