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Big Data in Retail - Thematic Research

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  • 39 Pages
  • May 2018
  • Region: Global
  • GlobalData
  • ID: 4586727
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Big Data in Retail - Thematic Research


How can retailers benefit from Big Data and Analytics (BDA)?

Cisco estimates that the world generates 122 exabytes of data traffic per month. This traffic is growing at 24% per annum and 82% of it is consumer generated. Most of this data traffic could be monetized via a growing band of hyperscale, internet-facing data centers around the world. Ask any CEO how they expect to sell more products and cut costs and they will tell you that big data features prominently in their strategy. Big data refers to the technology processes by which companies can profit from the large amounts of data to which they have access.

Cloud computing, machine learning (ML), augmented reality (AR), internet TV, the Internet of Things (IoT), robotics, cryptocurrencies, voice, blockchain, and cybersecurity. These are the big investment themes of tomorrow and they all have one thing in common: they generate huge amounts of data.

Big data provides endless opportunities for analytics within retail organizations including real-time in-store analytics, web analytics for ecommerce sites, as well as supporting back-end and cloud based resources.

BDA provides substantial opportunities for traditional retailers as well as e-retailers since they already have a wealth of data that can be used for various analytics to optimize processes, increase sales and launch new products and services. Detailed customer profiles can be built on big data, cost savings achieved through supply chain efficiencies and superior customer experience offered, which can lift the brand image.

Major business challenges can be overcome by introducing a big data solution that is tailored to retailers’ needs in general, however it also needs to be appropriate to specific use cases. These may vary depending on retailers’ aims and objectives, the allocated budget, existing data sources, and store layout. Certain technologies may already be in use for capturing data such as RFID, beacons, sensors, and surveillance systems.

  • This report focuses on understanding the substantial opportunities for traditional retailers as well as eTailers since they already have a wealth of data that can be used for various analytics to optimize processes, increase sales and launch new products and services-It highlights the importance of protecting the large and valuable quantities of customer data from breach and cyber-attacks.

  • The report identifies the leading technology players, who should benefit from the emergence of BDA, as well as the leading retail players with advanced BDA solutions.

Reasons to buy
  • The report highlights the key players in the big data industry and where do they sit in the value chain.

  • It identifies the main trends expected over the next two years in the big data theme.

  • The report also analyses the key segments of the big data value chain.

  • It also provides an industry analysis, significant mergers and acquisitions and critical milestones that have changed the course of the data center industry’s evolution.

  • The report also discusses the impact of big data on retail through retail case studies, and key recommendations for retailers and IT vendors.

  • It offers a technology briefing of how big data combines traditional data management technologies with new forms of data processing that are better suited to modern formats.

Table of Contents


  • Data trends

  • Industry growth drivers


  • Big data trends in the retail sector


  • Mergers and acquisitions

  • Timeline

  • Retail case studies

  • Key recommendations for retailers

  • Key recommendations for IT vendors

  • Public tech companies

  • Private tech companies

  • Retail companies




Companies Mentioned

A selection of companies mentioned in this report includes:

  • Amazon
  • Arista Networks
  • Cisco
  • Cloudera
  • Hortonworks
  • HP Enterprise
  • IBM
  • Intel
  • Google
  • Juniper Networks
  • Micron
  • MicroStrategy
  • Microsoft
  • NeoPhotonics
  • Nutanix
  • Nvidia
  • Oracle
  • Pure Storage
  • Red Hat
  • SAP
  • Software AG
  • Tableau
  • Talend
  • Vmware
  • Alpine Data Labs
  • Alteryx
  • Birst
  • Capsenta
  • Dataiku
  • DataVirtuality
  • Delphix
  • Denodo Technologies
  • Informatica
  • Logi Analytics
  • MarkLogic
  • PostgreSQL
  • Qlik
  • RapidMiner
  • Reltio
  • Alibaba
  • Carrefour
  • Home Depot
  • JD.com
  • John Lewis
  • Kroger
  • Macy’s
  • Marks and Spencer (M&S)
  • Tesco
  • Walmart