Modernize Data and Analytics Architecture
Turn diversity into opportunity by deploying a common analytic data management architecture across diverse data types, technologies, users, and use cases.
Get the Best of All Possible Worlds
Don't compromise when you can have it all. Enterprise data warehouse (EDW), data lakes, cloud, master data, direct access—select the optimal approach for each analytic need.
Enable All Users and Use Cases
Empower varying skill levels: business users who interact with dashboards, business analysts who create new reports or drill down, data engineers who develop new datasets, and data scientists who build complex models.
Make Data Easier to Find and Understand
Integrate multiple data sources, including streaming sources, into one logical source. Shield analytics users from complexity with an easy-to-access catalog and common semantic layer. Apply master and reference data to drive consistency and improve quality.
Provide Agility with Control
Apply agile data engineering techniques to speed time to solution. Apply the right level of governance to ensure security, safeguard compliance, and protect privacy.
Meet Your Most Demanding SLAs
Don't replace or start over, use what you have to do even more. Optimally deploy your people and infrastructure to meet whatever agility, performance, scale, and uptime you require.
Master Data Management
Metadata Management
Data Virtualization