Cloud D&A Modernization™: 6 weeks implementation

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Cloud D&A Modernization™ combines our advanced analytics expertise with Azure data storage and powerful compute to provide high-quality, adaptive, and scalable infrastructure to our customers

Why Modernize? In today’s digital age, to gain a distinct competitive edge, companies need to instantly adapt to market changes to stay relevant. Modern Data & Analytics is at the core of building that adaptive capability and fuel Business/Digital Transformation, with the ability to sense, collaborate, experiment, and act fast.

Our Cloud D&A Modernization™ Powered by Microsoft Azure, Starts with exhaustive assessment to assess the existing data and analytics IT footprints in the organization we do a complete assessment on the data volume, types of analytical application and current business engagement load. We also understand the vision and future analytics appetite of various business functions of the organization for carving out an apt modern/target state (End-State Architecture) IT infrastructure.

Phased Implementation plan has Six distinct phases as below:

1.Start with On-Prem Data infrastructure assessment

2.Provision and integrate Azure cloud infrastructure: We provision a dev/test/Prod environment on Azure cloud to test Configuration/stress test and accessibility of the resources and documented it for development team.

3.Off-load historical data to Azure cloud : Our approach on non-critical data off load ensures of the business continuity and tests new cloud production system with real business data (Historical).

4.Configure Enterprise Data Catalog on Azure: Set up An AI (Recommendation ) driven EDC using Azure to provide foundation to the entire Data landscape of the organization.

5.Start pointing new data sources and stream data directly to new cloud setup: If the current setup doesn’t have the mechanism to process real-time stream data, then start pointing all new data sources directly from the Azure cloud infrastructure.

6.Building new analytical apps: Web based IDE makes it easier for developers to collaborate with peers & businesses for development of well structured, intuitive, and purpose-built analytical apps.

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