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Open Data Blend Datasets

NIMBLE LEARN LTD

Open Data Blend Datasets

NIMBLE LEARN LTD

Analytics Optimised Open Datasets for Prescribing, Road Safety, and MOT Test Results in the UK

Open Data. Optimised.

Accelerate your analytics with UK open datasets that have been optimised for analytical workloads. Our growing list of datasets includes prescribing activity, road traffic accident stats (road safety), and MOT test results.

Maximise Productivity

We provide data services to make analytics teams 100x more productive compared to working with raw open data sources directly.

Slash Costs

Alleviate the costs and friction associated with using raw open datasets for data analytics. Enable your analytics team to deliver more in less time.

Use Freely

All our datasets are openly licensed and free to use for any lawful purpose. From single person start-ups to the largest enterprises, you have the same freedoms.

Query Interactively

Copy our data files to Azure Data Lake Storage Gen2 using our Azure storage integration for low-latency queries from Azure Synapse Analytics, Azure Databricks, and other data lakehouse engines.

Example Use Cases

Our open datasets can be used to support several areas of research including:

  • Pharma Markets: Answer questions like 'how is pharma brand x performing with drug y compared to equivalents from the competition?' and 'should the marketing push for pharma product y be increased or reduced?'
  • Prescribing Spend: Answer questions like 'which Sustainability and Transformation Partnerships (STPs) are spending the most?' and 'how much could be saved by prescribing more generic products?'
  • Cycle Safety: Answer questions like 'what conditions contribute most to the severity of a cycling crash?' and 'which junctions are hotspots for severe cycling crashes?'
  • Vehicle Maintenance: Answer questions like 'which vehicle parts are most likely to fail an MOT test?' and 'which vehicles would benefit from a maintenance service combined with an MOT test?'
  • Vehicle Ownership: Answer questions like 'what is the average mileage per year as a vehicle ages and how does this differ by vehicle make and model?' and 'what are the most long-lived vehicles?'

You can learn more about these and other use cases here.
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