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 Recognized as a Leading Computer Vision Consultancy
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.
Our Approach
We are a global team of experts that design and build products that unlock the full value of our customer’s data to:
Confidently make fact-based decisions about their customers, operations, markets and products
Build innovative products and services
Automate cognitive and labor-intensive business processes
OUR CUSTOMER SOLUTIONS
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Learn moreWe 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.
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Learn moreWe 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.
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Learn moreWe 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
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Data & Analytics Platform Engineering
Development and support of data management ecosystems to enable data-driven digital transformation
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Data Technology Consulting
Data technology assessment and audit; solution architecture synthesis and implementation planning
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Data Science Consulting
Exploratory data analysis, data modeling and discovery
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Business Analytics
Self-service analytics programs implementation
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Data & Analytics Strategy
Corporate data strategy, as well as design of data and analytics programs aligned with business goals
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Data Commercialization
Opportunity identification, execution and adoption
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Artificial Intelligence (AI) & Machine Learning
Predictive analytics, anomaly detection, recommender systems, natural language processing, computer vision and optimization
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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
200+
data templates and accelerators
55+
data platforms implemented
20M+
daily active users on EPAM-delivered data platforms
Strong partnerships with major cloud providers
including Google Cloud Platform, Microsoft Azure and AWS
OUR ACCELERATORS
Automated database migration assessment tool for heterogeneous and lift-and-shift migrations
Self-service, fail-safe exploratory environment for collaborative data science work
Hybrid Recommender Accelerator
Recommender dynamically selects the best algorithm based on available data
ML Textual Data Extraction Accelerator
Flexible Python-based framework for an information extraction pipeline
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InterviewTalking Data and International Women’s Day with Two Female Data Pros
For International Women’s Day, MIT professor & author Sarah Williams spoke with Data Analytics Consultant, Tatsiana Barysavets, about their work.
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Analyst ReportEPAM Recognized as a Leading Computer Vision Consultancy
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White PaperWhat is DataOps & Is it Worth Adoption?
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Blog
Why Your Financial Services Company Should Consider a Data Factory
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In the NewsDataOps: The Answer to Paying Down Organizational Data Debt
Petr Travkin, Solution Architect in the data and analytics practice at EPAM Systems, introduces the concept of Data Debt which can be measured as the cost associated with mismanaging data and the amount of money required to fix the data problem.