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CLIENT STORIES WNS provides us a blend of functional expertise and process capabilities which spans across our diverse portfolio. Our partnership with WNS has become an integral part of our operations and we look forward to maintaining this stability and competitive advantage in a volatile energy market.

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Big-Data-Analytics
Analytics

Big Data Analytics

Companies today view their unique data in significantly different ways due to the sheer enormity of data available and the rate at which it is compounding. Consumers reveal their motivations, preferences, dislikes and even loyalties on social media, which has highlighted the critical importance of customer feedback in order to support the buying decisions and gain a deeper understanding of customer needs unique to their particular market.

WNS offers a Big Data analytics solution that helps organisations, aggregate, integrate and validate vast amounts of data to derive actionable insights to maximize revenue and improve operational efficiency. In addition, the insights derived can also be used to enhance customer experience, product development strategies and customer service.

We have strong expertise in a wide range of Big Data platforms, including Hadoop, MapR, and mongoDB across the lifecycle of Big Data management.

A large US retailer increases operational efficiency and profits with informed decision-making
Case:
WNS combined the client’s disparate data—customer behavior, social media interactions and customer service sys..
Related To: Big Data Analytics data analytics
A leading UK-based insurer develops best-in-class social media monitoring program
Case:
WNS conducted text mining on the client’s data, and categorized social media influencers to monetize social me..
Related To: Big Data Analytics Analytics and Insights
A UK-based utility player develops insights for effective customer-centric skills and complaint management pro..
Case:
WNS enabled the company to derive key insights and themes about customer sentiment and views about the client ..
Related To: Research and Analytics Domain-based Analytics

The WNS Advantage

  • WNS R_Labs adds value and innovation by tapping into advanced analytics. Data scientists, Big Data specialists, data modelers, data infrastructure specialists and statisticians all form part of the WNS R_Labs team
  • Our Analytics Capability Group (ACG) and Advanced Analytics Consulting and Incubation Group (AACIG) are continuously developing analytics expertise that can be combined with domain expertise to solve clients’ business problems

The WNS South Africa Advantage

  • The CUBE: WNS South Africa has a state-of-the-art dedicated insights laboratory, called The CUBE. The CUBE aims to process and analyse masses of data to generate actionable business insights for clients that allows them to make knowledge-based decisions.
  • Leading-edge analytical methodologies: OWNS South Africa adopts only the latest data analytics methodologies and tools. We are able to provide our clients with specialised meta-analysis and data stitch capabilities that leverages analytical synergies from behavioural, attitudinal and transactional data.
  • Platform-agnostic: Our innovative solutions allow us to breakdown data silos, regardless of the system or platform, and generate actionable knowledge.
"Since 2004, WNS has been working as a valuable strategic partner for Coca-Cola. They’ve invested time and resources to truly understand our business model . WNS service model offers a good balance between on-site senior consultants and an agile off-shore team. They provide us with an on tap set of resources capable of tackling many of our diverse needs in the Knowledge, Insights and Analytics spaces. Their expertise and dedication makes a true difference for our team. "
Carlos Jose Fonseca

Vice President, Global Knowledge & Insights, The Coca Cola Company
Bronze for Best New Product or Service of the Year - Software - Big Data Solution at International Business Awards 2014 (The Stevies) – WADESM
Services
Big Data Consulting
  • Data Strategy Roadmap
    Big Data Platform Evaluation
    Big Data Solution Architecture
Big Data Implementation
  • Data Modeling
    Data Integration
    Metadata Management
    Indexing
    Data Virtualization
    Data Visualization
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