Cox 2M reduces time to insights by 88% combining ThoughtSpot and Google Cloud
Reduces time to data insights by 88%
Ingests more than two million IoT sensor messages per hour through BigQuery
Powers generative AI-based self-service data chat bot
Cox 2M provides Internet of Things (IoT) solutions to give its customers deep insights into their businesses. It redesigned its data infrastructure with Google Cloud and ThoughtSpot to democratize and speed up access to these insights, providing even greater detail to both internal users and customers.
Cox 2M provides Internet of Things (IoT) solutions to give its customers deep insights into their businesses. It redesigned its data infrastructure with Google Cloud and ThoughtSpot to democratize and speed up access to these insights, providing even greater detail to both internal users and customers.
The New Way to Query Data
Cox 2M is committed to communication and connectivity. The company serves customers across industrial and supply chain IoT, automotive loT management, and small business fleet management with detailed, sensor-based data that informs business decisions.
Providing detailed analytics on more than 29k miles of asset movements and two million IoT sensor messages every hour is no small feat. While Cox 2M focused on giving its customers fast, reliable reports, it struggled to keep pace with internal requests. So the company redesigned its data infrastructure to improve analytics for both internal users and customers.
It was taking us upwards of a week to answer a single ad-hoc analytics request for our business. This led to an unscalable cost-to-serve model, and if it takes you a week to get the insights out to your business, chances are they’re not going to be relevant anyway.
Josh Horton
Director of Data, Analytics and AI
Why Google Cloud?
To design a scalable approach to analytics, Cox 2M re-architected its data infrastructure with Google Cloud. Adopting Pub/Sub, Dataflow, Dataform, and Datastream, the company is powering real-time data intake that keeps pace with the massive volume of sensor information it tracks. Collaborating with ThoughtSpot, it was able to implement a natural language, generative AI solution that its internal teams can query autonomously. Now, rather than waiting days or weeks for ad-hoc data requests to be processed, even non-technical users can ask ThoughtSpot questions and receive insights 88% faster.
We created real-time data intake as well as change data capture and high capacity ETL with Google Cloud. By layering ThoughtSpot on top of that, with its intuitive semantic layer, we’ve given our business teams the power to query analytics with natural language.
Josh Horton
Director of Data, Analytics and AI
Cox 2M is a leading provider of commercial Internet of Things (IoT) solutions. As an agile and growth-oriented enterprise, they are committed to delivering innovative and intelligent systems that offer essential real-time data that enables insights-driven business decisions.
Industry: Technology
Location: United States
Products: BigQuery, Pub/Sub, Cloud SQL, Dataform, Dataflow, Datastream
About Google Cloud partner - ThoughtSpot
ThoughtSpot delivers a complete platform for the modern data stack spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach, to code-free self-service exploration and Generative AI-driven monitoring powered by natural language.
