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Location Intelligence Integration

We turn messy UK open data into decision-ready location intelligence. Clean, align, and model geographic data tailored to your specific business questions.

The Data Exists. The Engineering Doesn't.

UK has world-class open data — demographics, property sales, crime statistics, deprivation indices, school ratings, and more. But it's scattered across dozens of sources, each with different formats, geographies, and update cycles.

You've probably tried:

  • Downloading CSVs from data.gov.uk (then couldn't join them)
  • Using a postcode API (then hit rate limits or coverage gaps)
  • Asking your BI team to "add demographics" (still waiting)
  • Buying expensive commercial datasets (still needs integration)

Open data is free. Making it useful costs time and expertise.

What We Actually Do

1. Data Cleaning & Standardisation

  • • Validate and geocode your address/postcode data
  • • Standardise formats across multiple open data sources
  • • Handle missing values, outliers, and data quality issues
  • • Resolve geographic boundary changes over time

2. Geographic Alignment

  • • Map between different geographic levels (postcode → LSOA → ward → LA)
  • • Handle the complexity of overlapping boundaries
  • • Align datasets with different reference periods
  • • Create consistent lookup tables for your specific needs

3. Custom Data Modelling

  • • Design schemas that match your business questions
  • • Build composite scores and indices (e.g., "location risk score")
  • • Aggregate or disaggregate data to your required level
  • • Create star schemas for BI tool integration

4. Integration & Delivery

  • • Deliver as flat files, database tables, or API endpoints
  • • Build automated refresh pipelines for ongoing updates
  • • Integrate directly into your data warehouse or CRM
  • • Document lineage and methodology for audit/compliance

Why This Is Hard (And Why You Need Us)

# Things you don't want to learn the hard way:

  • • LSOA boundaries changed in 2021 - old data doesn't map cleanly
  • • Crime data uses different geographies than deprivation data
  • • Property sales need cleaning (£1 sales, bulk transfers, outliers)
  • • Postcode sectors can split across multiple local authorities
  • • Census tables have statistical disclosure control caveats
  • • API rate limits require careful pipeline design

# We've solved these problems before. You don't have to.

Example Projects

Insurance Underwriter

"We need a property-level risk score combining flood, subsidence, crime, and fire service response times."

Deliverable: Lookup table with 1.8M postcodes, 12 risk factors, composite score, refreshed quarterly.

Retail Chain (45 sites)

"We want to understand why some stores outperform others and where to open next."

Deliverable: Site performance model with catchment demographics, competition density, accessibility scores, and deprivation context.

SME Lender

"We assess creditworthiness but ignore location factors that affect business viability."

Deliverable: Business address enrichment with local economy indicators, sector concentration, and area growth trends.

Domiciliary Care Provider

"We need to prove to commissioners we're serving deprived areas and calculate true cost-to-serve."

Deliverable: Client data enriched with IoD 2025 deciles, travel time matrices, and cost model by area classification.

Available Data Sources

We can integrate any UK location-based data. Here are some of the sources we work with regularly:

Demographics & Census

ONS Census 2021, Population Estimates, NOMIS Labour Market

Economic & Deprivation

English IoD 2025, Welsh IoD, Scottish IoMD, Income/Employment

Property & Housing

Land Registry Price Paid, EPC Certificates, Council Tax Bands

Risk & Environment

Flood Risk, Subsidence, Air Quality, Crime Statistics

Transport & Accessibility

Journey Times, Public Transport, Road Network, NAPTAN

Business & Economy

Companies House, Business Counts, POIs, OpenStreetMap

Health & Education

NHS GP Data, CQC Ratings, Ofsted, School Census

Geography & Boundaries

ONS Boundaries, OS Code-Point, NSPL Lookups

Don't see what you need? If location data exists for your question, we can probably integrate it.

Engagement Options

One-Time Enrichment Project

Initial data enrichment, proof of concept, or one-off analysis. 2-6 weeks depending on complexity.

£2,500 - £12,000

Data Pipeline Build

Automated pipeline for ongoing enrichment needs. 4-8 weeks to build, then runs on your schedule.

£8,000 - £20,000 setup + £500-1,500/month

Embedded Data Engineering

Part-time data engineer focused on your location data needs. Complex ongoing requirements, multiple data products.

£3,000 - £6,000/month (1-2 days/week)

Let's Discuss Your Data

Tell us what location-based question you're trying to answer. We'll scope the data engineering work and give you a fixed-price proposal.

Or reach out directly at +44 7495 305 143