he Data City, United Kingdom - Fatima Garcia

he Data City, United Kingdom - Fatima Garcia

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  The Data City Dataas a Service We deliver comprehensive company data for the UK and Ireland, with expansion plans underway to include France, Germany and North America. Our flexible data structure enables seamless integration of a wide range of datasets. Classification Expertise • Real-Time Industrial Classifications (RTICs): Leveraging website crawling and machine learning, we classify companies into relevant sectors not captured by traditional SIC codes or standard classification systems. • Real-Time SIC Codes (RSICs): We enhance accuracy in company classification by reassigning SIC codes based on current website content, correcting outdated information and user errors. Data Science & Software Development Our team brings deep expertise in advanced data analysis, processing, and software development to power intelligent data solutions.
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  The UK Data OpenData Companies House The Web InnovateUK Social Media OECD Functional Urban Areas demarcations Partners’ data CreditSafe Dealroom Lightcast Proprietary metrics Growth measures (company year per year, turnover, employees…) Location quotients Innovation scores Estimated GVA Estimated C02 emissions Company size We provide data on all 4.5M+ active companies registered with Companies House, plus inactive ones, enabling analysis of company lifecycles and group structures. Partner data is also appended at the company level. The data is made available through the Industry Engine, an online platform that allows users to explore, visualize, analyse and download the data. We’ve matched ~1.5M companies to their websites and extracted text content, enabling RTIC and RSIC classification through machine learning and text analysis.
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  Application of TDCdata: public sector We collaborate with policymaking institutions at all levels—from local to national—transforming big data into meaningful insights. Our work supports evidence-based decision-making across a broad range of users. Innovation Clusters map: public-facing tool developed for the Department of Science, Industry and Technology that allows users to understand the clustering of companies across 40+ emergent technology sectors. The map on the right shows overlapping clusters of companies across the sectors listed in the legend—all of which together comprise the Life Sciences Ecosystem.
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  Application of TDCdata: private sector We collaborate with financial institutions to address data limitations that affect decision-making and operational efficiency. Why RSICs Matter: RSICs often provide a more accurate picture of a company’s real activity than SIC codes—improving risk assessments, compliance, and client understanding. The case of financial institutions: Companies choose a SIC code at incorporation. It shapes critical decisions across the financial system: • Bank account eligibility • Risk scoring & KYB checks • AML monitoring & regulatory reporting • GDP stats & economic modelling Sometimes a company’s SIC does not reflect its true activity, causing significant problems. NatWest fined £264.8M • High-risk customer misclassified as low-risk • SIC code didn’t match actual activity • Enhanced due diligence not triggered Santander fined £107M • FX trading firm onboarded without proper risk checks • Classification failed to reflect true business model
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  Data limitations 1. Weneed a company-website match to apply RTIC and RSIC classification methodologies appropriately. 2. Inherited errors from data providers. Sources like Creditsafe, Dealroom, and Lightcast, which may contain inaccuracies—such as outdated addresses or duplicate records. 3. Although efforts are made to keep data current, some updates—like changes in websites or the computation of metrics—can lag behind real-world events. 4. Despite using machine learning for classification, companies operating across multiple sectors or with limited web presence may be misclassified or oversimplified.
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  The Data City HarnessingAI as a Co-Creator for UK SMEs in Enhancing Productivity and Sustainability Thank you If you have any questions please contact us [email protected]