We do not believe in collecting data without purpose. Analysis by seasoned experts can bring actionable information to organizations when they need it most. Whether you are looking to make better decisions for business development, or create platforms and solutions that utilize data to streamline and improve operations—we are data-driven, business outcome oriented and we want to help you.
Data & Analytics
EPAM’s focus on data ties directly into generating business value. We look at data and analytics as a specific set of products, not just the operational reporting necessary to run an organization. We help our customers figure out what kinds of data products they need, the technology platforms to build them and organizational capabilities to govern them. This is all done within the context of a larger strategy that we craft for you.
We have multiple ways of accelerating delivery for our customers. We are not only enabling our customers to become more digital, adaptive enterprises—we are giving them the tools they need to transform their business.
We are a global team of experts that design and build products that unlock the full value of our customer’s data to:
OUR CUSTOMER SOLUTIONS
We developed an enterprise-wide, unified data platform solution that provides Element’s customers with the analytics they needed to manage their fleet of vehicles and drivers.
We partnered with Epic Games to build a powerful analytics ecosystem and AWS-based data lake to support the continued growth of their game Fortnite, and to house data for events generated by more than 350 million registered players and users of the Unreal Engine.
We replaced multiple monitoring solutions with a centralized data framework that allows customers to configure equipment, connect to the internet, check data usage and more—streamlining and improving the customer experience.
OUR DATA CAPABILITIES AT A GLANCE
Data & Analytics Platform Engineering
Development and support of data management ecosystems to enable data-driven digital transformation
Data Technology Consulting
Data technology assessment and audit; solution architecture synthesis and implementation planning
Data Science Consulting
Exploratory data analysis, data modeling and discovery
Self-service analytics programs implementation
Data & Analytics Strategy
Corporate data strategy, as well as design of data and analytics programs aligned with business goals
Opportunity identification, execution and adoption
Artificial Intelligence (AI) & Machine Learning
Predictive analytics, anomaly detection, recommender systems, natural language processing, computer vision and optimization
Data Product Engineering
Data and analytical product design, implementation, roll-out, support and modernization of data and analytics products at scale
FAST FACTS ABOUT EPAM
What is DataOps & Is it Worth Adoption?
There are many challenges that companies face when addressing data accessibility, but DataOps can help businesses operationalize data science to glean insights and accelerate innovation.
Why Your Financial Services Company Should Consider a Data Factory
In the News
DataOps: The Answer to Paying Down Organizational Data Debt