Case Study: Autometrics achieves scalable, profitable, data-driven insights with Actian DataCloud and ParAccel

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Preview of the Autometrics Case Study

Autometrics Helps Auto Industry Heavyweights Drive Better, More Profitable Business Decisions

Autometrics helps automotive manufacturers and dealers predict near-term buyers by aggregating and analyzing Lower Funnel Prospects (LFPs) — more than 600,000 prospects daily — from over 150 third‑party and proprietary sources. After the 2008–09 downturn the company reinvented itself to solve a hard technical and business challenge: instantly connect diverse, constantly changing data, remove massive duplication and run at‑scale analytics to deliver timely, predictive insights down to model, trim and zip‑code levels.

By deploying Actian DataCloud for frictionless data integration and rapid profiling/deduping and the ParAccel big‑data analytics platform for high‑speed columnar analytics, Autometrics ingests billions of rows and delivers fast, granular LFP predictions. The result is scalable growth and broad adoption by major automakers, actionable dealer‑level recommendations that improve inventory, pricing and marketing decisions, and an architecture ready to expand into new geographies and verticals.


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Autometrics

Stephen Shaw

Chief Executive Officer


Actian

113 Case Studies