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Innovation Beyond The Four Walls



November, 05, 2015

Cognizant to Present at the 2015 Wells Fargo Technology, Media & Telecom Conference


The Cognizant Difference

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Our Approach

The use of social, mobile, analytics and cloud technologies (SMAC) is already enabling our advanced analytics solutions to extract meaning from your data so you can refine the products, services and experiences required to outperform your competition. Whether through analytical models, systems integration or data analytics and strategic consulting, we can help your data drive experience.
  • Customer, Risk and Operations Analytics

    Use customer, risk and operations analytics to turn existing data into predictive knowledge that drives business outcomes.
  • Business Intelligence

    By combining BI & analytics frameworks and defining strategy and solution architecture, we will help you solve problems and deliver answers.
  • Big Data

    We have a reputation for bringing extensive value to Big Data, from business strategy to architectural integration to delivery excellence.
  • Enterprise Information Management

    We integrate the enterprise and accelerate value through advanced data management strategies and solutions.


  • BIGFrame

    Mainframe offloading solution that delivers up to 60% in cost savings without sacrificing performance.

  • Techquarium

    Information science ecosystem that helps test ideas through experimentation. It also automates project implementation.

  • Behavioral BI

    Impacting decision-making behavior in a digital era.

Our Latest Thinking

Leveraging Anonymized Patient Level Data to Detect Hidden Market Potential
Longitudinal analysis of anonymized patient level data (APLD) is a powerful tool for assessing patient experience on a granular level that will lead to better treatment outcomes and increased life sciences market penetration.
U.S. Consumer Banks and the Potential of Location-Based Offers
The increasing use of mobile devices, plus advances in location-aware technologies, are driving the adoption of location-based services across customer-facing industries, including retail. U.S. consumer banks can take advantage of this trend by using the vast amount of customer data they collect to help retailers develop contextually relevant, location-based offers that strengthen and grow customer relationships and position retail banking services as more than mere commodities.
Pervasive Analytics: Measuring the Impact of a Celebrity Direct‑to‑Customer Campaign in Pharma
Pharmaceuticals companies using celebrity direct‑to‑customer (DTC) campaigns need an analytics system of computing potential ROI based on the right set of variables.
Patients Recruitment Forecast in Clinical Trials
Inaccurate patient recruitment forecasts for clinical trials cost pharmaceuticals and medical device manufacturers a huge amount of resources each year. We offer descriptions and examples of applying stochastic and non-stochastic approaches to increase accuracy in this crucial stage of drug testing.
Analytics to the Rescue: Better Loss Prevention through Modeling
By strategically applying predictive analytics, retailers can be empowered to reduce, if not avoid, loss due to shrinkage.
Transforming Finance and Accounting to Optimize Financial Close
Many firms are working to accelerate and improve the daily financial close, but are far from ready. By formalizing the F&A value chain, modernizing and strengthening their F&A platform, assessing and optimizing existing service models and heightening overall F&A governance, companies can achieve this goal, supported by a set of success factors for measuring progress and aligning transformation activities.
Creating a Banking Experience that Keeps Customers Coming Back
Today's customer experience is part digital, part physical. Here's how your bank can use customer insights to better engage customers and prospects and create seamless, consistent experiences at every touchpoint.
Synergizing Master Data Management and Big Data
Master data management (MDM) is key to organizing, standardizing and linking volumes of big data that characterize today's information-driven environments. Understanding how MDM and big data inform and complement one another can offer organizations deeper, more actionable insights and a "single version of the truth" to support better decisions and realize new competitive advantages.
Driving Process Excellence through Intelligent Automation across the Contract Management Lifecycle
By adding intelligent automation to the contract management process, organizations can improve contract search, retrieval and management, drive cost savings, speed processing, boost compliance and reduce risk.
Sliding Oil Prices: Predicament or Prospect?
Given the steep plunge in crude oil prices and resulting cash crunch, now is the perfect time for oil and gas companies to revisit their value tree and synchronize business and IT strategies.


  • Energy Utility Adopts Big Data Strategy
  • EIM Reduces Costs by 50% for Global Client
  • European Telecom Receives Real-Time Customer Insights
  • Data-to-Foresight Helps Pharma Client Save $4 Million

Energy Utility Adopts Big Data Strategy

We partnered with a leading energy and utility client to develop a big data adoption strategy. After a strategic BI product evaluation and tactical business needs assessment, we helped the company establish a robust BI system that helped them differentiate from the competition.

    Business benefits included:

  • Architected a three year roadmap aligned to business unit and organization maturity.
  • Increased awareness and consensus on the strategic importance of BI and shed light on the need to invest in maturing BI capabilities.
  • Identified potential opportunities for an enhanced BI environment worth €80 million ($110 million USD) in business benefits

EIM Reduces Costs by 50% for Global Client

We partnered with a global client to implement a "BI-in-a-Box" capability using a managed services frameworks for Enterprise Information Management (EIM). The project included phased integration of 13 brands across multiple lines of business, 24x7 operations and on-going data center monitoring. We also provided customer support using our proprietary 1‑800‑BI helpdesk framework.

    Business benefits included:

  • Elimination of infrastructure management overhead with a 99.5% up-time SLA.
  • Approximately 50% reduction in operational expense.
  • Reduction of capital outlays by 80% as a result of outsourcing.

European Telecom Receives Real-Time Customer Insights

We partnered with a leading European telecom to devise a customer-centric strategy aimed at providing actionable customer insights. We provided a 360-degree view of five business lines covering over 45 million customers for the retail and wholesale markets.

    Business benefits included:

  • Added more detailed data stored for longer periods, thereby enabling advanced-analytics and greater insights.
  • Introduced improved system capability and scalability to 500 business users using data integrated from over 25 entities, with more than 400 built-in reports.

Data-to-Foresight Helps Pharma Client Save $4 Million

For a leading pharma company, we developed a fully outsourced, end-to-end commercial analytics tool delivered through a managed services model. We used an instance of Cognizant's hosted Data-to-Foresight product, an industry-standards-based platform. This enabled the client to realize cost savings of $4 million per year and achieve a 60% to 70% reduced time‑to‑market.

  • Energy Utility Adopts Big Data Strategy
  • EIM Reduces Costs by 50% for Global Client
  • European Telecom Receives Real-Time Customer Insights
  • Data-to-Foresight Helps Pharma Client Save $4 Million


Data Management in Internet of Things (IOT)
Yogesh (Yogi) Bhushanraj, Enterprise Data Management Practice Lead, addressed data management opportunities and challenges in a webinar on how organizations can prepare themselves better for the imminent IoT wave. Watch the complete recording of the webinar.

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