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Big Data & Analytics

Insightful Analysis to Drive Your Big Data Services Strategy. NelsonHall's Big Data & Analytics Services Program is a dedicated service for organizations evaluating, or actively engaged in, the outsourcing of all or part of their IT activities.

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latest vendor assessments:

NelsonHall keeps tabs on all these vendors so that you don't have to do so, providing all the analysis of vendor capabilities that you require for shortlist selection

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Covered vendor profiles within the Big Data & Analytics program

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NEAT analysis:

Big Data & Analytics Services

Published on: March 13, 2018 by Dominique Raviart
This NelsonHall Vendor Evaluation & Assessment Tool (NEAT) analyzes the performance of vendors offering Big Data & Analytics services. The NEAT tool allows strategic sourcing managers to assess the capability of vendors across a range of criteria and business situations and identify the best performing vendors overall, and with a specific focus on automation, operational improvement, efficiency improvement and the development of new business models. Vendors evaluated for this NEAT are Accenture, Atos, Capgemini, DXC Technology, EPAM Systems, Infosys, LTI, NTT Data, TCS, Tech Mahindra, Virtusa, and Wipro. To find out more, contact Guy Saunders at [email protected]
request access to NEAT Weighted scores and score breakdown are only available for clients with access. Access is free to the buy-side community, and given upon registration. Please login now or register for NEAT for full access to this functionality
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Latest Big Data & Analytics Market Forecast

NelsonHall's Self-Service Forecast Tool

This new tool is aimed at assisting executives in accessing the precise market size, growth, and vendor share information they require rapidly and cost-effectively, in support of more-informed decision-making.

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featured blog posts on
Big Data & Analytics:

  • Infosys’ Analytics Practice Aims to Bridge Business Needs & AI-Related Technical Services

    Nov 11, 2019, by Dominique Raviart

      We recently talked to Infosys about its analytics and big data capabilities in its Data and Analytics (DNA) practice. DNA is a significant practice within Infosys, which we estimate represents ~8% of Infosys’ headcount. It continues to enhance its portfolio, expanding from tec[...]

    read post

  • DXC Supports BMW in its Autonomous Vehicle Journey

    Jun 28, 2019, by Dominique Raviart

      We recently talked to DXC Technology’s Analytics business line about its work with German premium car OEM BMW, its positioning in autonomous vehicles, and its differentiation strategy. BMW recently provided some light on the dynamics behind its Vision iNEXT autonomous car due [...]

    read post

  • Sopra Steria: Building on Big Data & Analytics Initiatives

    Apr 08, 2019, by Dominique Raviart

      We recently talked with Sopra Steria about its work and capabilities around big data and analytics. The company has created a Data Science CoE (or Technology Stream in Sopra Steria’s terminology), which brings specialized services and expertise to the various in-country systems i[...]

    read post

  • NIIT Technologies Adapts Data & Analytics Around Big Data & AI

    Jan 17, 2019, by Dominique Raviart

      In a recent meeting with NIIT Technologies, we discussed how its Data & Analytics offering has been adapting, with a focus on developments around big data and AI. Here are the main talking points. Overcoming tool fragmentation One priority has been NIIT Tech’s Xpress Su[...]

    read post

  • DXC Bets $2bn on Recovery of Luxoft to Scale its Digital Capabilities

    Jan 08, 2019, by NelsonHall Analyst

    Yesterday morning, DXC announced its intended acquisition of Luxoft in an all cash transaction of $59 per share, around $2bn. This represents a 48% premium over Luxoft’s average closing share price over the previous ninety days (and ~86% premium on Friday’s closing price). The deal i[...]

    read post
view all blog posts

latest blog posts on
Big Data & Analytics:

  • Infosys’ Analytics Practice Aims to Bridge Business Needs & AI-Related Technical Services

    Nov 11, 2019, by Dominique Raviart

      We recently talked to Infosys about its analytics and big data capabilities in its Data and Analytics (DNA) practice. DNA is a significant practice within Infosys, which we estimate represents ~8% of Infosys’ headcount. It continues to enhance its portfolio, expanding from tec[...]

    read post

  • DXC Supports BMW in its Autonomous Vehicle Journey

    Jun 28, 2019, by Dominique Raviart

      We recently talked to DXC Technology’s Analytics business line about its work with German premium car OEM BMW, its positioning in autonomous vehicles, and its differentiation strategy. BMW recently provided some light on the dynamics behind its Vision iNEXT autonomous car due [...]

    read post

  • Sopra Steria: Building on Big Data & Analytics Initiatives

    Apr 08, 2019, by Dominique Raviart

      We recently talked with Sopra Steria about its work and capabilities around big data and analytics. The company has created a Data Science CoE (or Technology Stream in Sopra Steria’s terminology), which brings specialized services and expertise to the various in-country systems i[...]

    read post

  • NIIT Technologies Adapts Data & Analytics Around Big Data & AI

    Jan 17, 2019, by Dominique Raviart

      In a recent meeting with NIIT Technologies, we discussed how its Data & Analytics offering has been adapting, with a focus on developments around big data and AI. Here are the main talking points. Overcoming tool fragmentation One priority has been NIIT Tech’s Xpress Su[...]

    read post

  • DXC Bets $2bn on Recovery of Luxoft to Scale its Digital Capabilities

    Jan 08, 2019, by NelsonHall Analyst

    Yesterday morning, DXC announced its intended acquisition of Luxoft in an all cash transaction of $59 per share, around $2bn. This represents a 48% premium over Luxoft’s average closing share price over the previous ninety days (and ~86% premium on Friday’s closing price). The deal i[...]

    read post
view all blog posts

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