Big Data Services for a global marketing team

Robust Big Data services for a new video-on-demand service.

Assessment & Strategy

We'll inventory your data sources and key processes, and work closely with your IT and Engineering teams to understand your target infrastructure from the inside out. We'll then create an enterprise-wide data strategy customized to your business, and provide tailored recommendations for people, processes, priorities, and technologies.

Platform Architecture

We'll help you improve upon or build your enterprise data platform from the ground up, overseeing and implementing crucial system-level architecture, functional, and technical design. We’ll take care of the construction, testing, and deployment of your data platform, using leading edge technologies like EMR, Hadoop, Spark, RedShift, SQL, and Azure.

Data Integration

We'll design and build enterprise-grade data pipelines to feed your platform, including advanced ETLs leveraging metadata-driven integration architectures. We'll help you leverage data from all of your sources to create comprehensive views of your customers, and take action on that data via targeting, personalization, and other customer-facing systems.

Data Optimization

We'll help you evaluate, tune, and optimize your Big Data applications so you're running at high performance 24/7. We will monitor your essential data metrics and evaluate crucial details like extract, transform, and load process times to help you keep your end-to-end system fully optimized so your applications are never weighed down.

Cloud Infrastructure

We're committed to the best in security, accuracy, and timeliness when it comes to data migration. Customers migrating to the cloud require complete integrity of data, with no down time and sensitive data handled with utmost care.

Data Science

Our professional data scientists have real world experience with segmentation, machine learning, predictive analytics, and deep customer analytics. EY-Society has pioneered advanced techniques in data modeling, collaborative filtering, recommendations systems, and specialized algorithms for real-time decision making in Big Data environments.

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