"Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern
approach to data and analytics governance."
In a data-driven era, the pace of change continues to accelerate. The quest for ways to work smarter and move faster made guided analytics and dashboards no longer enough. And with an unprecedented amount of data, organizations require modern analytics capabilities to support a broader set of use cases.
With our Modernization Framework, allow existing BI users to operate their trusted legacy reports while evolving through the adoption of next-generation BI. We help you deliver ideal data experiences that offer valuable, actionable insights, API-driven application integrations, and respond to the real-time needs of a dynamic business environment.
Meet the ever-evolving business needs with a modernized data platform
Data Warehouse
Build an advanced data warehouse platform as a foundation for sophisticated analytics that supports your business intelligence initiatives and accelerate decision-making. Our data warehouse solutions are available on premises as well as on cloud.
Data Lake
Drive smarter, data-driven decisions by capitalizing on a broader variety of workloads. Data Lake provides a framework for ML and real-time advanced analytics to operate in a collaborative environment with data warehouses. Tap into the potential of previously unanalyzed data and make better decisions.
Lakehouse on Databricks
Unify data, analytics and AI workloads on a single platform with Data Lakehouse on Databricks. The open data management architecture combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data.
Data Marts
Gain quick access to insights that guide decisions at the department level. Easily leverage self-service data tools and embedded ML—with zero coding required—to accelerate data processing, automatically find patterns and gain insights based on data with transparent lineage.
Case Studies