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Customer Success Stories in Modernizing Data Platforms

Case Studies

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Case Study:

Learn how Quantatec integrated generative AI into their Movias logistics platform.

Patterson Consulting partnered with Quantatec to transform their logistics analytics platform by enabling a natural language user interface powered by large language models. Previously reliant on static reports and custom SQL queries that strained database performance, Quantatec sought a more scalable and user-friendly solution. Leveraging Cube’s semantic layer, the OpenAI API, and the LangChain framework, Patterson Consulting helped develop and deploy a multilingual chatbot interface that allows fleet managers to query data conversationally. The project was completed in just six weeks, significantly enhancing user experience while reducing system load through intelligent data fetching and caching.

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Recent case studies

Data Platform Migration with Large Midwest Insurance Company

Patterson Consulting worked with the platform engineering team of a large midwest insurance company to help migrate data pipelines from AWS to GCP. New data pipelines were built out on Google BigQuery and orchestration was implemented with Airflow.

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Managed MLOps Infrastructure for Large Financial Services Company

Patterson Consulting worked with a large east coast financial services company to help them integrate Kubeflow with Kerberos, Active Directory, and NVIDIA DGX GPUs for an on-premise Jupyter Notebook-based data science environment with fixed cost profile.

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Common Questions About our Engagement Process

Here are some of the commons questions asked.

The Patterson Consulting "Architecture Review" offering is the best way to get started. The deliverable is a report explaining the current state of your data strategy and data platfrom (from an insurance indusrtry point of view), and how they currently perform. We also measure how the data platform is affecting divisions such as underwriting, finance, claims, and underwriting. We then work with your engineering team to understand the skills of your existing team, and preferred cloud technologies, before recommending a specific new 'evolved' architecture that will improve the key business indictors of the current platform. This offering costs between $35k to 50k, depending on the scope of the engagement.

Yes, we look for platform architectures that fit the existing skill investments of organizations, and then make sure we get them on technologies that will scale to the speed that does not hold back the business.

We work with insurance data teams to come up with a plan to communicate the work they are doing and what issues currently exist between two systems. We then create joint plans between different parts of the insurance organization that helps them work together to get the data integration to a place where everyone trusts the process and the data.

Let's talk about your data platform.

Patterson Consulting platform engineering teams help you architect and deploy data platforms that drive the business and support generative AI capabilities. We specializing in constructing modern data platforms that focus on ensure data correctness and generating analytical results as quickly as possible.

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