Nagarro's XPerience360: Centralized Low code MDM solution

Nagarro

Nagarro’s XPerience360 Platform streamlines data ingestion from multiple sources, creating accurate "golden record" of your data ensuring that your information is consistent and organized.

Data scattered across multiple systems can lead to inconsistencies, inaccuracies, and duplication, undermining the reliability of information and negatively impacting analysis, decision-making, segmentation, targeting, and customer service.

Nagarro’s Xperience360 Platform, built on Microsoft Azure Cloud, addresses these challenges by gathering data from various sources within the company and creating a unified and accurate customer profile, known as a “Golden Record,” using Azure Synapse Analytics. Built on Microsoft’s Azure Well-Architected Framework, this consolidated information allows business users to conveniently access a unified data view, enabling robust analytics and informed decision-making. Additionally, the platform's seamless integration with Azure Cloud Services ensures that users can effortlessly leverage cloud capabilities, enhancing flexibility, scalability, and performance.

Key Features of the Xperience360 Platform:

  1. Master Data Management (MDM): • Golden Record Creation: Ensures the creation of a single, accurate view of customer data by consolidating information from multiple sources. • Data Deduplication: Identifies and removes duplicate records to maintain data integrity and consistency. • Data Segmentation: Enables detailed segmentation of customer data for targeted analysis and personalized engagement.
  2. Low Code Development: • Rapid Azure Data Pipeline Creation: Facilitates the quick development of Azure data pipelines with intuitive visual tools, reducing development costs and enhancing productivity. • Accessibility for Non-Technical Users: Empowers business users to build and manage data workflows without extensive technical expertise.
  3. Analytics and Reporting: • Unified Data View: Provides a comprehensive and consistent view of data, enhancing the accuracy of analytics and reporting. • Advanced Analytics: Supports the application of complex analytical models to derive actionable insights from the unified data.
  4. Data Mesh Design: • Decentralized Data Ownership: Promotes a decentralized approach to data management, with self-serve infrastructure and federated governance ensuring data reliability and scalability. • Scalability and Agility: Supports a flexible and scalable data architecture that adapts to evolving business needs.

Implementation Outcomes and Benefits: • Improved Data Quality: Ensures accurate and consistent data across the organization, minimizing errors and duplication. • Enhanced Decision-Making: Provides reliable data for analysis and reporting, enabling more informed and strategic decisions. • Streamlined Data Management and Consolidated Data Organization: Simplifies data management processes, enhancing efficiency and productivity. • Reliable Analytics: Improves decision-making with consistent and accurate data for analysis and reporting.

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