DATA TRANSFORMATION

“Transitioning from traditional to contemporary.”

NITSEL

The foundation of a digital business.

Secure a competitive edge with our data modernization solutions, overcoming challenges like fragmentation and scalability to establish a unified data source for accurate and consistent decision-making in the evolving innovation landscape.

Transformative data modernization empowers businesses for sustained growth, consolidating sources to make informed decisions in the evolving landscape.

OUR OFFERINGS

Transition to modern data platforms

Obtaining sources of data.

Collect data from diverse origins including on-premise and cloud by employing a range of connectors.

Concentration of data storage in a central location.

Develop a cost-efficient approach to preserve historical data while enabling real-time updates throughout the day.

Processing data and enforcing regulations.

Ensure the continual maintenance of data consistency and quality to create a dependable source of information accessible to all business users.

Evaluating the current scenario and pinpointing areas of improvement.

Assess the existing data platform and pinpoint areas requiring enhancement.

Critical elements within data modernization

Digital depiction of data.

Leverage sophisticated integration capabilities to access data directly without duplication. Analyze consolidated data in real-time and distribute it to downstream applications and business intelligence reporting tools.

Digital depiction of data.

Leverage sophisticated integration capabilities to access data directly without duplication. Analyze consolidated data in real-time and distribute it to downstream applications and business intelligence reporting tools.

Uniformity in data.

Develop criteria, metrics, and rules to assess data quality, focusing on completeness, reliability, and consistency. Automate testing procedures according to user-defined criteria and rules.

Uniformity in data.

Develop criteria, metrics, and rules to assess data quality, focusing on completeness, reliability, and consistency. Automate testing procedures according to user-defined criteria and rules.

Management and oversight of data.

Develop comprehensive governance policies that encompass individuals, procedures, and technologies to ensure data reliability, completeness, accountability, and adherence to regulations.

Management and oversight of data.

Develop comprehensive governance policies that encompass individuals, procedures, and technologies to ensure data reliability, completeness, accountability, and adherence to regulations.

Interconnected data framework.

Utilize the synergy between machine learning and knowledge graphs to merge enterprise data effectively, optimizing its value for the business. Enable seamless access to high-quality data for analytics by employing intelligent integration, data catalogs, engineering, and governance.

Interconnected data framework.

Utilize the synergy between machine learning and knowledge graphs to merge enterprise data effectively, optimizing its value for the business. Enable seamless access to high-quality data for analytics by employing intelligent integration, data catalogs, engineering, and governance.

Decentralized and domain-oriented approach to managing data.

Establish a distributed data architecture and decentralized data management system that delegates data ownership to specific domains. This setup ensures secure, swift, and convenient access to data.

Decentralized and domain-oriented approach to managing data.

Establish a distributed data architecture and decentralized data management system that delegates data ownership to specific domains. This setup ensures secure, swift, and convenient access to data.

Unified

Combine the functionalities of data lakes and data warehouses to offer cost-effective data storage, reduced data movement, access to updated data, and unified data management with improved governance.

Unified

Combine the functionalities of data lakes and data warehouses to offer cost-effective data storage, reduced data movement, access to updated data, and unified data management with improved governance.

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