Deploying smarter analytics with British Land

  • Customer
  • Industry
  • Service
  • Segment
  • Author
  • British Land
  • Real Estate
  • Data & Analytics
  • Enterprise
  • Jodie Rhodes
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At a glance

British Land are one of the largest property development and investment companies in the UK. The firm became a real estate investment trust when REITs were introduced in the UK.

Challenge

British Land’s on-premise data analytics faced hardware issues, high costs, and limited scalability, making their workflow unsustainable as the business expanded.

Solution

Firemind integrated Qlik Sense to create scalable, custom dashboards, allowing users across the business to access data without costly on-premise hardware.

Services used
  • Amazon Redshift
  • AWS Glue
  • Amazon Kinesis
  • Amazon QuickSight
Outcomes
  • 3.5x increase in data reports created 
  • 2.5x more advanced reports
Business challenges

Unsustainable on-premise data analytics infrastructure

British Land carried out most of their data analytics using on-premise hardware. This led to constant hardware issues, cost-intensive processes and problems with scalability and access.

As the business was growing, this current workflow for data access was not sustainable

Solution

Migrating to a scalable cloud-based analytics platform

The Solution was simple. Integrate Qlik Sense to build custom branded dashboards that could scale. The addition of Qlik meant users across the business could access the new data and analytical centre, without relying on costly on-premise hardware.

The switch to a cloud based system meant Extract, Transform, Load (ETL) pipelines could be automated and made more efficient as data teams began refining the processes and models.

UX redesign

Mishandling of data and inconsistent reports were now a thing of the past, as we built easy to user and navigation friendly data dashboards.

Payment management

Management of payments, invoice reconciliation and property values (such as deposits, rents, interest charges) were streamlined and structured for more accurate reporting on company finances.

Data Streams

Before our solution, valuable time and energy went into collating data types without the visual aids in place to make sense of what was gathered. Our Qlik upgrades and model refinement removed this barrier.

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