Data and analytics consulting for enterprise modernization
KPI Digital is a Montreal-based consulting firm built around data, analytics, and AI transformation for mid-market enterprise clients. The stack—Python, Spark, Snowflake, dbt, Airflow, Dagster, Databricks, Power BI—reflects a modern data engineering practice, but the real signal is in projects: legacy data migration, data fabric modernization, and ERP integration dominate their current work. Hiring is concentrated in data roles (9 open), with senior-level fills, suggesting they're scaling delivery capacity for multi-year modernization engagements rather than building new product IP.
KPI Digital advises mid-market enterprises on data strategy, analytics infrastructure, and digital transformation across 15 industries including manufacturing, retail, insurance, banking, and healthcare. The firm operates out of Montreal with approximately 51–200 employees, having accumulated over 20 years of experience in data, analytics, AI, and enterprise performance management. Current work focuses on legacy modernization—ERP migrations, data fabric buildouts, cloud transitions, and row-level security implementations—alongside emerging AI application development. Revenue model is project and staff-augmentation based, with recent hiring concentrated in senior data practitioners and field sales to expand delivery capacity.
Primary tools: Python, SQL Server, Snowflake, dbt, Apache Spark, Airflow, Dagster, Databricks, Power BI, AWS, Azure, IBM, Oracle, and PyTorch. Stack skews toward modern cloud data warehousing and orchestration with legacy enterprise systems (Infor, SAP) for client integrations.
15 industries including manufacturing, retail, consumer goods, insurance, mining, banking, and healthcare. Work spans enterprise performance management, analytics, customer data platforms, and AI application development.
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