Beneath AnalyticsIndustry
Automobile
Vehicle makers, dealers and fleet operators generate telematics, service and sales data that rarely meets in one place. The useful work is connecting those sources, making the numbers trustworthy, and then building alerts for components likely to fail and a clear view of what each sales channel really produces.
Where this sector loses ground.
For manufacturers, dealers and fleet operators. We connect vehicle, service and sales data, build alerts for components that are starting to fail, and show which channels bring in profitable customers.
Failures discovered in the workshop
Wear on a component is only visible when the vehicle arrives for repair, which turns a preventable fault into a warranty claim.
Warranty cost reviewed too late
Warranty exposure is checked quarterly from totals, too late to change a supplier decision or run a service campaign.
Telematics data going unused
Vehicle data piles up in storage without the pipelines and models that would turn it into alerts and forecasts.
Sales and service funnels unmeasured
Campaign source data is lost between the campaign, the dealer and the CRM, so the cost of winning a customer is a guess.
How we work in this sector.
Sequence matters: govern the data first, make every reported number traceable, then build the models and automation that act on it.
Build pipelines for telematics, service and dealer data, with monitoring so failed loads are noticed immediately.
Detect unusual component behaviour and raise alerts ahead of failure.
Model warranty exposure by component, supplier and age, so cost conversations use evidence and not averages.
Reconnect campaign and CRM data to measure the sales and service funnel from end to end.
Where this usually starts.
The solutions we most often deploy in this sector. Each page sets out the capabilities, platforms, and outcomes you can expect.
- AI Consulting & Development
Data Science
Data science answers the questions your dashboards cannot: who will churn, what demand will be, which segments matter. Beneath Analytics builds churn models, forecasts, and segmentation on your own data, integrates them into the tools your team already uses, and validates them with properly designed experiments.
View solution - AI Consulting & Development
AI-Ready Data Platforms
AI-ready data platforms means Beneath Analytics builds the warehouses, pipelines, and governance that AI and analytics depend on: BigQuery and Snowflake warehouses with dbt transformation, data quality checks, and documented lineage you can defend. Pipelines scale with your data volume, so models and dashboards run on data your team trusts.
View solution - Tracking & Analytics
Analytics & Business Intelligence
Analytics and business intelligence means Beneath Analytics turns your tracked data into decisions: attribution modelling, predictive models, and dashboards built around the questions your team actually asks and adopted by the people who use them.
View solution
Common questions.
Yes. Streaming and batch loads into a warehouse, with sensible retention rules, keep costs predictable while leaving the raw data available when a new question comes up.
Either, depending on your team. We can deliver models end to end, or work alongside your data scientists on feature design, validation and putting them into production.
Through standard CRM and DMS integrations. The hard part is usually the quality of the source data, not the connection, so we fix that first.
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