Cover Image
市場調查報告書

零售業的巨量資料

Big Data in Retail

出版商 Frost & Sullivan 商品編碼 312918
出版日期 內容資訊 英文 61 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
零售業的巨量資料 Big Data in Retail
出版日期: 2014年09月12日 內容資訊: 英文 61 Pages
簡介

由多樣資訊來源集聚的高容量結構化、非結構化的資料中,對零售產業的成長有所貢獻,包含客戶的行動相關有價值的考察。混合成長市場與發展階段的市場的歐洲市場,巨量資料有龐大的成長潛力。

本報告提供歐洲零售業的巨量資料的市場機會分析、關於巨量資料的價值鏈概要、零售業者間的巨量資料的引進趨勢、市場課題等。

第1章 摘要整理

  • 主要調查結果

第2章 調查手法

  • 目的、對象、調查手法

第3章 基本資料

  • 商業情報-基本的定義
  • 超越商業情報的巨量資料分析
  • 數量、種類、速度-轉向巨量資料主導的商業情報
  • 對巨量資料計劃的一般方法

第4章 巨量資料分析-價值鏈

第5章 零售業的巨量資料相關歐洲市場概況

  • 市場競爭環境概要
  • 零售業的歐洲市場分析
  • 俄羅斯的看法

第6章 在零售業的巨量資料應用

  • 潛在的應用領域和使用案例
  • 在零售業的潛在利用案例與應用領域
  • 在零售業的潛在利用案例和應用領域-影響價值的潛力

第7章 趨勢與市場機會

  • 主要的實行領域
  • 零售業的主流分析解決方案
  • 零售業的功能特殊化型分析解決方案
  • 零售業的線上分析解決方案
  • 線上分析顯著的類似零售分析
  • 全方位流通管道零售的登場

第8章 課題

  • 技術課題
  • 法規的課題
  • 組織的課題

第9章 展望

  • 未來展望
  • 法律上的免責聲明

第10章 關於Frost&Sullivan

目錄
Product Code: MAA7-01-00-00-00

Big Data Analytics Central to Customer Acquisition and Retention Strategies in Retail

Large volumes of unstructured and structured data from a variety of sources contain valuable insights about customer behavior, which has the ability to contribute to the growth of retail businesses. There is tremendous growth potential in European market, which is a mix of growing and nascent market. This report will introduce the big data opportunity in the retail industry in Europe, casting light on the opportunities for applications in this ever-expanding industry. It will provide an overview of the big data value chain, the competitive landscape, the trends driving the uptake of big data analytic among retailers, and the growth challenges in this market.

Table of Contents

1. EXECUTIVE SUMMARY

Executive Summary

  • 1. Key Findings

2. METHODOLOGY

Methodology

  • 1. Objective, Scope, and Methodology

3. FUNDAMENTALS

Fundamentals

  • 1. Business Intelligence-A Foundational Definition
  • 2. Big Data Analytics Going Beyond Business Intelligence
  • 3. Volume, Variety, and Velocity-Marking The Transition To Big Data-Driven Business Intelligence
  • 4. Generic Approaches To Big Data Projects

4. BIG DATA ANALYTICS-VALUE CHAIN

Big Data Analytics-Value Chain

  • 1. Big Data Analytics-Value Chain
  • 2. Big Data Analytics-Value Chain (continued)
  • 3. Big Data Analytics-Value Chain (continued)
  • 4. Big Data Analytics-Value Chain (continued)
  • 5. Big Data Analytics-Value Chain (continued)

5. STATE OF THE EUROPEAN MARKET FOR BIG DATA IN RETAIL

State of the European Market for Big Data in Retail

  • 1. Overview of the Competitive Landscape
  • 2. Overview of the Competitive Landscape (continued)
  • 3. European Market for Analytics in Retail
  • 4. European Market for Analytics in Retail (continued)
  • 5. European Market for Analytics in Retail (continued)
  • 6. A Russian Perspective
  • 7. A Russian Perspective (continued)
  • 8. A Russian Perspective (continued)

6. APPLYING BIG DATA IN RETAIL

Applying Big Data in Retail

  • 1. Potential Application Areas and Use Cases Across Industries
  • 2. Potential Use Cases and Application Areas for Retail
  • 3. Potential Use Cases and Application Areas for Retail-value Impact Potential-Estimates
  • 4. Potential Use Cases and Application Areas for Retail-value Impact Potential-Estimates (continued)

7. TRENDS & OPPORTUNITIES

Trends & Opportunities

  • 1. Key Areas of Implementation
  • 2. Mainstream Analytics Solutions for Retailers
  • 3. Function-specific Analytics Solutions for Retailers
  • 4. Online Analytics Solutions for Retailers
  • 5. Offline Analytics Solutions for Retailers
  • 6. Offline Analytics Solutions for Retailers (continued)
  • 7. Offline Analytics Solutions for Retailers (continued)
  • 8. Retail Analytics Bears a Striking Resemblance to Online Analytics
  • 9. Emergence of Omni-channel Retail

8. CHALLENGES

Challenges

  • 1. Technological Challenges
  • 2. Regulatory Challenges
  • 3. Regulatory Challenges (continued)
  • 4. Regulatory Challenges (continued)
  • 5. Organisational Challenges
  • 6. Organisational Challenges (continued)
  • 7. Organisational Challenges (continued)

9. OUTLOOK

Outlook

  • 1. Outlook for the Future
  • 2. Legal Disclaimer

10. THE FROST & SULLIVAN STORY

The Frost & Sullivan Story

  • 1. The Frost & Sullivan Story
  • 2. Value Proposition
  • 3. Global Perspective
  • 4. Industry Convergence
  • 5. 360° Research Perspective
  • 6. Implementation Excellence
  • 7. Our Blue Ocean Strategy
Back to Top