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Predictive Analytics Q1, 2013: Today's Supply Chain, Tomorrow (Single Edition): Evaluating the manufacturing potential of Africa; Identifying future commerce hot spots; Targeting contract logistics growth in emerging markets

June 2013 | 36 pages | ID: P4E7E03D7F7EN
Analytiqa

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Analytiqa’s Predictive Analytics series of briefings are published quarterly and highlight issues which will directly and significantly influence manufacturing, retail and logistics service provider supply chain operations. Each briefing is designed to be strategic, concise, highly valuable and commercially relevant.

In this volatile and unpredictable market, created by the global economic crisis, predictive analytics is gaining substantially in popularity as businesses tackle the challenges created by the ever-changing operational environment.

Predictive analytics can be harnessed to guide business decisions for every player and at every stage in the supply chain, regardless of the size of the business or the broad or specialist nature of the organisation’s operations. Business intelligence has evolved rapidly in recent years and more and more businesses are now studying the habits and choices of their customers.

By contrast, supply chain companies have a need to track the infinitely more complex decisions of their customers and their ‘customers, customers’ across entire industry sectors and across all the geographies within which their customers operate. No minor undertaking! Logistics companies that service the needs of retailers for example, need insight into how consumers are approaching purchasing, such as the influence of fast-fashion or the impact of increasing online sales. Qualitative predictive analytics can be used to effectively track and analyse such developments globally and across industries.

How can you benefit from Analytiqa’s Predictive Analytics?

With all the Supply Chain experience, industry knowledge and expertise of Analytiqa’s Analysts and Consultants, supplemented by the use of sophisticated software, analysis and modelling techniques, Analytiqa harnesses the predictive capabilities of industry specific research to assist you to identify forward looking trends and data.

Hence Analytiqa’s new briefings. ‘Predictive Analytics’, which will be published quarterly, are based on qualitative and quantitative predictive analytics to identify and examine the developments which will shape the supply chains of the future. With supply chain companies operating in a highly volatile global environment that is currently seeing many ground breaking changes, the devised strategy of organisations, both large and small, can directly and substantially benefit from such analysis.

This series of briefings will aim to examine potential future developments which drive consumer spending habits, manufacturing and outsourcing decisions, retailer strategies and raw material trade flows which all combine to ultimately define the commercial opportunity for supply chain companies. Each briefing will draw on predictive analysis based on relevant primary and secondary research undertaken across the global supply chain industry. The qualitative data will include forecasts to 2025 or even 2030.

Analytiqa’s Predictive Analytics series of briefings will publish quarterly and highlight issues which will directly and significantly influence customer and logistics service provider supply chain operations. They will therefore cover a wide variety of topics such as energy markets, fuel prices, population and migration trends, urbanisation, the changing prosperity of geographic regions, the spread and democratisation of technology, the impact of climate change, manufacturing locations, labour cost developments, mergers and acquisitions.

Each briefing is designed to be strategic, concise, highly valuable and relevant.

Why Analytiqa’s Predictive Analytics briefings?
  • Independent commentary and analysis
    • key analysis of future market performance, trends and key issues
  • Assists to improve your profit margins
    • robust actionable business information that is commercially relevant
  • Prioritises business development
    • quicker wins by identifying growth markets with greater certainty
  • Aids the achievement of a higher ROI
    • on time spent in planning and strategy processes
  • Focuses future supply chain strategies
    • boost margins, efficiency and cost reductions by understanding markets
  • Recognise commercial growth in a tough market
    • utilising an innovative and cost effective business intelligence solution
EXECUTIVE SUMMARY

Evaluating the manufacturing potential of Africa
Identifying future commerce hot spots
Targeting contract logistics growth in emerging markets

1.0 INTRODUCTION

1.1 Predictive Analytics
1.2 Research Methodology

2.0 MANUFACTURING POTENTIAL OF AFRICA

Competitiveness in manufacturing
  Table 4.1: Segments of Manufacturing Industry by Technology Level
Changing nature of manufacturing globally
  Figure 2.1: Price Performance Growth 1992 - 2010
Manufacturing competitiveness in Africa
  Figure 2.2: Chinese Unit Labour Costs, 2000 - 2012
  Figure 2.3: Relying on a Strong Manufacturing Sector
  Figure 2.4: Factors Defining Manufacturing Competitiveness
Markets for African Manufacturers
  Figure 2.5: Growth of Urbanisation by Global Region, 1950 - 2030
  Figure 2.6: Projected Value of Food Markets in Sub-Saharan Africa, 2010 - 2030
  Figure 2.7: World’s Ten Fastest Growing Economies, 2000 - 2015
Data Sources

3.0 ECOMMERCE HOT SPOTS

  Figure 3.1: Internet Sales for US and Western Europe, 2011 - 2020
Challenge to ‘bricks and mortar’ retailing model
  Figure 3.2: Ecommerce Penetration of Retail Sales by Country, 2008 - 2016
Market Growth Factors
  Figure 3.3: Worldwide Internet Population as a Share of Total, 2010 - 2020
  Figure 3.4: Rise of the Mainstream Consumer in China, 2000 - 2020
Emerging Markets are Key
  Figure 3.5: Growth of Chinese Online Retail Market, 2006 - 2020
The Opportunity for 3PLs
Data Sources

4.0 CONTRACT LOGISTICS GROWTH MARKETS

Logistics Market Potential
  Figure 4.1: Highest Logistics Market Potential in Emerging Regions, 2016
  Figure 4.2: Logistics Outsourcing Rates in Emerging Markets, 2016
Economic Transformation
  Figure 4.4: China Economic Structure: Share of GDP, 1980 - 2034
Social Determinants of Logistics Market Growth
Capturing the Opportunity
Data Sources

5.0 APPENDIX


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