EPAM BI Solutions

EPAM BI Solutions

Industry & Technology Solutions

The EPAM approach to data is one which builds upon the needs and requirements of each customer. Our experience helps our clients chose the right solutions using the right technology and approaches. We leverage innovations in today’s BI industry like Big Data and mobile to deliver the right data to the right people, at the right time. In addition, our approach of using Agile ensures that we deliver what you need in order to deliver valuable business insights.

Big Data

EPAM BI Experts build and deliver robust Big Data platforms embracing cutting-edge data exploration, visualization, and analytics capabilities. Using a range of systems, solutions and tools, our clients are able to harness the possibilities of Big Data to gain insight into vast amounts of unstructured data. Our partnerships with SAP, Oracle, IBM, and Microsoft allow us to bring the best Big Data platforms and solutions to our customers.

NoSQL and Operational DBs, Highly Scalable Systems: Hadoop, MongoDB, MarkLogic, Cassandra, CouchDB, Amazon WebServices, Amazon Elastic MapReduce, EMC2, Tibco, SAP, Oracle

Cloud Computing & Virtualization: Windows Azure, SQL Azure, SalesForce, Cloud Foundry, XenServer, Amazon WebServices, vmware

Real-time Analytics, Forecasting and Optimization: IBM Cognos, Mongo DB, Gigaspaces, Teradata, SQL Server, Google Analytics, QlikView, Oracle Business Intelligence, Microstrategy

Solving Industry Challanges:

  • Analysis of large volumes of data generated in store and on line
  • Big Data solutions to help discover trends in sales and purchasing
  • Financial performance measurement
  • Supply chain reporting to support efficiencies and optimization
  • Targeting and maximizing the effect of loyalty programs
  • Reducing loyalty card fraud
  • Understanding customer’s buying habits via customer analytics and Market Basket Analysis
  • Enriching retail POS-sourced metrics with other enterprise data to get more complex KPIs such sales per square foot, sell-through etc.
  • Tracking health and safety compliance across physical retail locations
  • Compliance reporting
  • Legacy data integration
  • Secure information storage
  • Highly personalized data delivery
  • Significant financial and risk reporting
  • Fraud detection
  • Big Data solutions for large data volumes
  • Managed call analysis
  • Up-sell and cross-sell opportunity enhancement for multi-business operations

Featured Case Study

EPAM was invited to develop and implement a new architecture and reporting portal for PayPal Media Network within a short timeframe. With the goal to optimize response time for reporting and improve maintainability, EPAM worked as a part of the larger PayPal team across both U.S. coasts to develop and implement a complex reporting solution critical to PPMN’s business operations.  

White Papers

Machine Learning on Big Data with HADOOP, a white paper by EPAM BI Competency Center

This paper is an introduction to Machine Learning, and focuses on three objectives: 1. Shows you the trends and latest technologies in machine learning; 2. Helps you to start thinking how to better use your data via the machine learning techniques; 3. Demonstrates how to get started with some sample codes and algorithms.