Augmented Data Quality Platform
Manage, Transform, govern, control, improve and exploit data for beneficial business outcome
Data management solutions for applying advanced functions to automate Data Quality processes and rules with Artificial Intelligence and Machine Learning driven models for streamlining data discovery, empowering Serverless capabilities and governance of Metadata to obtain actionable insights.
Automated Data Management Solutions for streaming collection, cataloging, and integration of Data.
Enable Secure, accurate and regulatory compliance empowered data capabilities and solutions.
Enable Automated Data Mapping capabilities and gain insights into the context of your data set.
Profile: Get a better view of all the structures, relations, and components of data.
Organize: Users must organize the data based on classifications, tags for easy future reference, or object mapping.
Govern: Automate the Policies on data, and users can define the rules as per organization requirements.
Transform: Data Lineage processes bundling brings ease to maintaining data quality across the system.
Accelerate AI-powered insights for empowering Conversational Analytics, Visual Analysis and Real-time Advanced analytics Capabilities.
Empower Enterprise AI
Implement Automated Open Metadata Management and DataOps best practices with greater accountability and provides 360 degree view of customer insights.
Enable Machine Learning and Artificial Intelligence for Data Preparation, Insight generation and explanation for advanced business intelligence.
ML powered search and querying solutions for enabling smart cataloguing and classification of data assets.
XenonStack offers solutions for enabling Data Compliance, Analytics Security, Hadoop Security, and Governance.
Manage, Transform, govern, control, improve and exploit data for beneficial business outcome
Google Cloud Platform’s Cloud Dataprep Solution
Improving information quality for ML and analytics with Cloud Dataprep. Turn unknown, inconsistent information into trustworthy assets and Test quality at scale.
AWS Deequ Services
Reinvent business with data from automatic constraint suggestions and verification, metrics computation, and data profiling.
Azure Software Development Services
Leverage DQLabs ML-augmented catalog as simplified metadata management to automate the process of discovering, inventorying, profiling, and tagging.
Augmented Data Management Solutions for end-to-end lifecycle management
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Enterprise AI
Big Data Engineering
Data Science
DevOps
Data Visualization
Serverless
RESET
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Data Catalog
Data Lineage
Master Data Management
DataOps
Data Catalog provides a single self-service environment to the users, helping them find, understand, and trust the data source.
Data lineage is the process of understanding, documenting, and visualizing the data from its origin to its consumption.
Master Data is the core that refers to the business information shared across the organization and has structural and hierarchical reference.
DataOps Methodology is a new and independent approach to data analytics based on the whole data life cycle.
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