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Automotive

Optimising every mile, every model, every moment. Harnessing data to drive precision, performance and possibility across the automotive journey.

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The automotive industry is at a critical inflection point. Disruption is accelerating across every dimension  electrification, connectivity, digital retail, autonomous technology and evolving consumer expectations. In this landscape, data is emerging as one of the most powerful enablers of transformation.

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For leaders, data is no longer just an operational tool,  it's a strategic asset that informs smarter decisions, fuels innovation and unlocks competitive advantage. From optimising global supply chains and enhancing customer experience, to driving product innovation and enabling new business models. The intelligent use of data and insights is reshaping what it means to lead in the mobility space.

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But extracting real value from data requires more than dashboards and reports. It demands a clear vision, strong governance, agile data capabilities and cross-functional alignment. As the industry continues to evolve, the winners will be those who treat data not just as a byproduct of their operations, but as a catalyst for growth, resilience and reinvention.

How Data & Insights Drive Value Across the Automotive Business

1

Sensors and telematics track real-world vehicle emissions; analytics inform more sustainable production and supply decisions

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Impact​

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Track carbon emissions 

Optimise energy consumption 

Model the impact of design decisions 

Report ESG metrics  for compliance and investor relations

Sustainability

and

Emissions

2

Demand models integrating sales, production, and external market data to predict supply risks and optimise inventory

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Impact

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 Better supplier negotiations

 More accurate lead times

Stronger business continuity

AI-driven

supply chain forecasting

3

Real world driving data is analysed to improve product design, safety features, and user experience

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Impact

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Data-backed innovation

Informed roadmap prioritisation

Alignment with regulatory trends

Connected

vehicle usage analytics

4

Real-time sensor data and machine learning models predict equipment failures before they happen

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Impact

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Optimised model mix

Lower stock holding risk

Faster vehicle turnover

Data informed vehicle feature personalisation

5

Centralised claim tracking reveals recurring issues and helps renegotiate supplier terms

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Impact

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Reduced warranty liability

Faster identification of defects

Stronger supplier accountability

Warranty analytics

and cost control

6

Dashboards track key KPIs across dealerships to identify coaching needs and resource gaps

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Impact

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 Performance transparency

Actionable interventions

Data-driven enablement

Dealer network performance analytics

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Chester Business Park, Heronsway, Chester CH4 9QR

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01565 748 551

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