{"slug":"designing-a-data-literate-enterprise-at-scale","url":"https://findausecase.com/use-cases/designing-a-data-literate-enterprise-at-scale","title":"Designing a data-literate enterprise at scale","description":"Miridih re-architected its data platform on Databricks, migrating to a serverless environment on AWS with Lakeflow Jobs, Unity Catalog and a medallion architecture, and introduced AI/BI Genie so nontechnical employees can query data and gain insights independently, reducing data processing time by more than 75%.","company":"Miridih, which provides an integrated design ecosystem that makes it easy for anyone to design and create","industry":"Retail","aiCapabilities":["Conversational AI"],"technology":["Databricks SQL","Lakeflow Jobs","Unity Catalog"],"deployment":"Public Cloud","problemStatement":"As usage of Miridih's MiriCanvas design service grew rapidly, its legacy architecture relied on disjointed data pipelines and an inefficient computing environment, lacked a robust governance framework, made schema changes difficult, and left key departments unable to make timely, data-driven decisions with organization-wide self-service analytics out of reach.","solutionApproach":"Miridih fully re-architected its data platform with Databricks, migrating to a serverless environment on AWS integrated with AWS Glue, implementing Lakeflow Jobs for faster data pipelines, using Unity Catalog with column masking and permission controls for governance, adopting a medallion architecture for data quality, and introducing AI/BI Genie so nontechnical users can query data and gain insights independently.","businessValue":"Miridih reduced the time required to collect and convert customer behavior data from over four hours to under one hour, a performance improvement of more than 75%, and within five months more than 70% of its workforce had adopted Databricks in their daily work, with over 200 dashboards and 180 workflows in use.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/miridih","dates":{"publishedAt":"2026-09-08T09:04:06.401Z","publishedAtSource":"pipeline","updatedAt":"2026-09-08T09:04:06.401Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/designing-a-data-literate-enterprise-at-scale. Bulk republication requires permission."}