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Predictive Analytics Q4, 2012: Today's Supply Chain, Tomorrow (Single Edition): Logistics Superpowers Of The Future – From West To East; Realising Brazil’s Potential; Regional Leader, South Africa

June 2013 | 30 pages | ID: PB8FD8219EBEN
Analytiqa

US$ 300.00

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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

Looking East – China has the potential
Sustaining Brazil’s GDP growth
South Africa can define continental growth

1.0 INTRODUCTION

1.1 Predictive Analytics
1.2 Research Methodology

2.0 LOGISTICS SUPERPOWERS OF THE FUTURE – FROM WEST TO EAST

Germany’s logistics superpowers
  Figure 2.1: Global Market Leaders in Logistics
Environmental suitability for logistics competitiveness
  Figure 2.2: Logistics Performance Index, 2012
Underlying demand – the driving force for logistics services
  Figure 2.3: 2012 Global Retail Development Index
  Figure 2.4: Global Manufacturing Competitiveness Index
Countries with Constrained Potential
Looking East – China has the potential
  Figure 2.5: Share of Global GDP by Country and Region, 2011-2060
  Figure 2.6: Rising Household Incomes in China, 2000-2020
Data Sources

3.0 LOGISTICS SUPERPOWERS OF THE FUTURE – REALISING BRAZIL’S POTENTIAL

Sustaining Brazil’s GDP growth
  Figure 3.1: Expected Growth in GDP per Capita by Country, to 2030
Brazil’s emerging ‘Class C’
  Figure 3.2: Brazil’s Expanding ‘Class C’, 1992-2030
  Figure 3.3: Oil Production Capacity by Country, 2011-2020
Infrastructure upgrade is essential
  Figure 3.4: Brazil Infrastructure Investment, 1991-2030
The next stage for Brazil
Data Sources

4.0 LOGISTICS SUPERPOWERS OF THE FUTURE – REGIONAL LEADER, SOUTH AFRICA

A Continental leader
African growth and demographics
  Figure 4.1: Africa GDP, 2000-2060
  Figure 4.2: Urbanisation in Africa, 1990-2035
Rise of a consumer class
  Figure 4.3: Forecast Consumer Spending in Africa by Country, 2020
South Africa as a logistics hub
Data Sources

5.0 APPENDIX


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