Data intelligence and revenue assurance for consumer-facing enterprises
Sagacity runs a data-services operation built on Databricks, Python, Spark, and cloud infrastructure (AWS + Azure), with heavy reliance on Tableau and Power BI for analytics delivery. The hiring mix is data-heavy (5 data roles vs. 3 engineering), and the active project list—sector campaigns, rapid prototyping, ABM programs, HubSpot workflows—shows a services-led business scaling go-to-market motion rather than pure platform development. Internal pain points around incomplete datasets and sales pipeline efficiency suggest they're operationalizing their own advice.
Sagacity is a London-based data intelligence consultancy founded in 2005, serving over 350 brands across utilities, telecoms, retail, insurance, and adjacent sectors. The company helps consumer-facing businesses extract value from existing data through cleansing, quality assurance, analytics, and revenue operations—spanning billing accuracy, debt collection, credit risk, and customer engagement. The service scope includes data strategy, direct mail campaigns, GDPR compliance, and custom reporting, with clients reporting 5x returns within early months. The organization spans 51–200 employees and operates primarily out of the United Kingdom.
Databricks, Apache Spark, and Delta Lake for data processing; Tableau and Power BI for visualization and reporting; Python for scripting and transformation; AWS and Azure for cloud infrastructure.
Utilities, telecoms, retail, insurance, and adjacent consumer-facing sectors. The company claims trusted relationships with over 350 brands across these verticals.
Sagacity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.