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.
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
OUR DATA CAPABILITIES AT A GLANCE
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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White PaperAnonymize Production Data with ML & Differential Privacy
In this white paper, EPAM’s engineers discuss an effective approach to test data management that uses machine learning and differential privacy to generate an anonymized data set from client production data.
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BlogThe Rebirth of Marketing Mix Models
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PodcastThe Resonance Test 70: Exploring the Data Loop with John Reardon
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Blog
What is Trustworthy AI & Why is it Important?
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In the NewsData Paradox Meaning and 101 Introduction
In this Solutions Review article, EPAM CISO, Sam Rehman, explains the greater demand for raw data and pressing need for security and privacy.
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In the NewsEPAM’s Xen Powered Virtual Cockpit
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BlogIf it’s Just an Idea, it’s Not an Innovation