Data Management
Structuring data for enhanced insights
Maintaining data processes and data banks for information lifecycle needs
The proliferation in volume, variety, and velocity of data has resulted in revealing pertinent insights. The findings of such insights have empowered businesses with better control over their operations and finances. The process of gathering these insights poses challenges related to maintenance and storage of such huge data. Be it ingestion, processing, storage, or security, all aspects of data management have changed drastically in the past few years. Connect with us to understand how our data specialists can cater to your vast data processing needs and scale your business.
Key Performance Indicators
Data Lake Implementation
Receive timely insights by extracting them directly from transactional and unstructured data stored in data lake.
Data Warehouse Implementation
Create a unified data repository of the enterprise data in a structured manner thereby enabling faster and complex queries and service intelligent insights.
Data Virtualization
Integrate all the data stored in silos across disparate systems and manage the unified data for centralized security and governance.
Data Cataloging
Create a metadata for database to ease data exploration and provide context to find a relevant dataset and extract business value.
Data Acquisition
Migrate data from varied sources with ease using our smart versatile connector.
Data Profiling and Quality
Improve the quality of business decisions by addressing the data quality issues using ZeniDQ
Master Data Management
Provides a single point of reference for managing critical data thereby improving data quality making data available across the organization.
Data Security
Ensures data privacy and safeguards valuable and propriety information.
Support and Enhancement
Using latest technologies such as Artificial Intelligence and Machine Learning to optimize the data and analytics workload and applications.
Data Lake Implementation
Receive timely insights by extracting them directly from transactional and unstructured data stored in data lake.
Data Warehouse Implementation
Create a unified data repository of the enterprise data in a structured manner thereby enabling faster and complex queries and service intelligent insights.
Data Virtualization
Integrate all the data stored in silos across disparate systems and manage the unified data for centralized security and governance.
Data Cataloging
Create a metadata for database to ease data exploration and provide context to find a relevant dataset and extract business value.
Data Acquisition
Migrate data from varied sources with ease using our smart versatile connector.
Data Profiling and Quality
Improve the quality of business decisions by addressing the data quality issues using ZeniDQ
Master Data Management
Provides a single point of reference for managing critical data thereby improving data quality making data available across the organization.
Data Security
Ensures data privacy and safeguards valuable and propriety information.
Support and Enhancement
Using latest technologies such as Artificial Intelligence and Machine Learning to optimize the data and analytics workload and applications.
