Advance Big Data Analytics Case Study #1

Advance Big Data Analytics / Data Lake

Insurance
Banking and Financial Services
Retail and Distribution
Manufacturing
Healthcare

Objective:

A Data Platform to handle a massive variety and amount of data while getting deeper insights through advance analytics for a holistic picture of the whole organization and making effective business decisions.

Outcome:

Big Data Clusters for reduced operational cost by auto-scaling and pricing tier.
Single Storage Platform that eliminates data silos (optimized cost with Tiered Storage and Policy Management).
Wide range of Data Ingestion tools that allows processing of data in a high performance ecosystem.
AI solutions with real-time analytics for enhanced data insights.
Customer Data Platform (CDP) with powerful machine-learning for better customer relationships that drives customer lifetime value, return visits, loyalty, conversion rates and more.

Solution:

Microsoft Azure Data Lake, Microsoft DataRobot, ACQUIA CDP

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