AI-enabled
Data Management

Harness the power of data for strategic decision-making

Thrive in a Data-driven World

Intelligent Data Management solutions offer a holistic approach to your data, combining automation, analytics, and innovation to make sense of the multitude variety and dimensions of data.

Simplify Data Landscape

Simplify your data landscape with a universal query engine to access data from disparate sources.

Dynamic Input Data Handling

Seamlessly integrate data from various sources, ensuring a comprehensive view of your business operations.

Adapters with Business Rules

Leverage pre-built adapters, combined with customizable business rules to ingest, transform, and structure data effortlessly.

Transform the Way you Manage Data

From disparate data sources to advanced XML-OLAP and database structures, we've got you covered.

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Data Virtualization

Break down data silos

Get a single view of data across different data types and sources in a secure, governed fashion.

Unlock The Data Goldmine with
Intelligent Data Management

Address complex data challenges to transform numbers into insights. Collateralize, modernize, and monetize data for better revenue generation opportunities.

Proactively Address Data Quality Issues

Visualize statistical insights and data quality assessments for your data assets, empowering data stewards to enhance data quality using AI-driven rules.

Deliver Seamless Customer Journeys
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Adaptive Metadata Management

Oversee your data products by simplifying data stewardship through metadata management, optimizing self-service data access, and effectively managing the lifecycles of your data product.

Ensure Data Privacy, Security, and Accessibility

Identify sensitive data with data protection rules that dynamically reduce risk of regulatory violations with role-based access controls.

Deliver Seamless Customer Journeys
Optimize Engagement with
Multi-Channel Orchestration

Customer Lifecycle Management transforms the customer journey

Oversee your data products by simplifying data stewardship through metadata management, optimizing self-service data access, and effectively managing the lifecycles of your data product.