Case Study: MNP achieves faster, more contextual client insights with Databricks

Supporting customers with next-generation financial services

MNP, a national accounting, consulting, tax and digital services firm, wanted to strengthen its market leadership by building a next-generation financial services platform that could support large language models and deliver more contextual, data-driven insights to clients. To overcome data limitations and simplify complex analysis, MNP partnered with Databricks using the Databricks Data Intelligence Platform and a lakehouse architecture.

Databricks helped MNP unify structured, semi-structured, and unstructured data in one repository, improve governance and security, and enable real-time processing for fresher insights. MNP also implemented Vector Search, Foundation Model APIs, Model Serving, and a RAG approach to support its Mixtral 8x7B LLM strategy. The result was a scalable GenAI foundation for faster, more precise client decision-making, with MNP noting that the Databricks GenAI Advisory Program significantly accelerated deployment and adoption.

MNP

Colin Wenngatz

Vice President