Big Data in Retail: Opportunities and Challenges - Gaining competitive advantage through better understanding retailers' business and IT priorities

  • ID: 4334364
  • Report
  • 44 pages
  • GlobalData
1 of 4

FEATURED COMPANIES

  • Cloudera
  • John Lewis
  • Macy's
  • Marks and Spencer
  • Splunk
  • Spotfire
  • MORE
Big Data in Retail: Opportunities and Challenges - Gaining competitive advantage through better understanding retailers’ business and IT priorities

Summary

"Big Data in Retail: Opportunities and Challenges", report discusses retailers' Big Data and analytics related business and technology challenges, and provides a market forecast until 2020 by retail and IT segments. The report analyzes various approaches to analytics, data management and provides advice on how to generate value from data-driven solutions.

Big Data and Analytics provide substantial opportunities for retailers since they already have a wealth of data that can be used for analytics to optimize processes, increase sales and launch new 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. Big data solutions allow that data from individual stores can be compared with figures and insight gathered from eCommerce operations, interactive customer apps and log data from systems and sensors across the organization. Social media and socio-economic data can also be integrated into the analysis, as well as input from warehouses and suppliers.

Scope
  • The fast-growing market for various Big Data and analytics solutions in retail provides hardware and software vendors, as well as cloud service providers, systems integrators, and consultancies with notable business opportunities
  • Most of the hardware innovations that are currently happening in retail such as various IoT solutions have an analytics element that helps to better understand customer behavior and market trends, and optimize various processes from warehouse management and staffing to store traffic and eCommerce websites
  • Retailers feel the pressure from competitors advancing in their usage of data for better targeting customers and look to improve their brand image, marketing efforts and operational efficiency
Reasons to Buy
  • Gain insight into retailers' Big Data and analytics related priorities. This reports helps you to pitch Big Data and analytics solutions to retailers and understand how these are linked to key business systems, as well as the role that Big Data plays in innovative retail concepts.
READ MORE
Note: Product cover images may vary from those shown
2 of 4

FEATURED COMPANIES

  • Cloudera
  • John Lewis
  • Macy's
  • Marks and Spencer
  • Splunk
  • Spotfire
  • MORE
1. Background: Retailers’ Business Challenges
2. Analytics Opportunities and Technologies
2.1 Analytics in Store
2.2 Back-end Analytics
2.3 Business Intelligence Technologies
2.4 Data Collection Technologies
2.5 Data Processing and Data Centre Infrastructure Technologies
2.6 Vendor Overview
3. Retailer Usage Cases
3.1 Macy’s 360 degrees view of its customers
3.2 M&S runs analytics on Hadoop and uses visualization tools
3.3 John Lewis relies on real-time operational insights
4. Implementing Big Data Strategies in Retail
4.1 Big Data Opportunities
4.2 Key Challenges
5. Market Opportunity
5.1 Big Data in Retail - Global Market by Technology
5.2 Big data in retail - Global Market by Retail Segment
5.3 Big data in retail - global market by retail channel
6. Future of Big Data in Retail
6.1 Latest Technologies
6.2 Retailers’ IT budget allocation and IT priorities
6.3 Opportunities for ICT vendors
7. Advice for ICT Vendors and Retailers
7.1 Advice for ICT Vendors
7.2 Advice for Retailers
8. Appendix
8.1 Definitions
8.2 Further Reading
8.3 Contact the author
8.4 Contact Us .

List of Tables
Table 1: Global market for big data in retail by technology - spending in US$m
Table 2: Global market for big data software in retail by technology - spending in US$m
Table 3: Software and services driving big data growth in retail (US$m)
Table 4: Global market for big data technology by retail segment (US$m)
Table 5: Global market for big data technology by retail segment (US$m)
Table 6: Key demand and supply side trends driving big data in retail
Table 7: Retail categories
Table 8: Retail channels
Table 9: IT Domains (1)
Table 10: IT Domains (2)

List of Figures
Figure 1: Business Intelligence Technologies
Figure 2: Big Data Software and Hardware Stacks
Figure 3: Retail data sources and flow
Figure 4: Key business challenges impacting retailers in adopting big data & analytics
Figure 5: Software and services driving big data growth in retail (US$m)
Figure 6: Global market for big data technology by retail segment - spending in US$m
Figure 7: Technology adoption curve by retailer type and country
Figure 8: Global market for big data technology by retail channel - spending in US$m
Figure 9: Usage of business intelligence solutions
Figure 10: Driving forces behind retailers’ big data strategies
Figure 11: Key opportunities for IT vendors catering to the big data in retail market
Note: Product cover images may vary from those shown
3 of 4

Loading
LOADING...

4 of 4
  • Macy's
  • John Lewis
  • Marks and Spencer
  • Cloudera
  • Spotfire
  • Splunk
Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown
Adroll
adroll