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Predictive Analytics Q2, 2012: Today's Supply Chain, Tomorrow (Single Edition): Transforming the Global Economy; Evolving Trade Flows; The Impact of Oil

June 2013 | 30 pages | ID: P476EAAE9E6EN

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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

Transforming the Global Economy
Evolving Trade Flows
The Impact of Oil


1.1 Predictive Analytics
1.2 Research Methodology


To predict the future, first understand the past
  Figure 2.1: Divergent Economic Fortunes
Will there be a tipping point in 2013?
  Figure 2.2: Quarterly Global GDP Growth (%), 2007 - 2013
Increasing challenge to supply chain planning
Emergence of South – South trade
  Figure 2.3: China’s Export Growth by Destination to 2050
Inter-Regional Trade: The Asian Century
  Figure 2.4: Asia will dominate the future shape of supply chains
Data Sources


A different approach to trade policy and trade facilitation
  Figure 3.1: Regional Trade Shifts will Gather Pace
New order for the distribution of global trade
  Figure 3.2: The Changing World Distribution of Exports, 1985 - 2010
The growth of product fragmentation
  Figure 3.3: China’s Processed Exports by Country and Region, 1992 - 2010
Increasing incomes will boost agricultural trade
  Figure 3.4: Breakdown of components of average real growth in GDP, 2009 - 2050
  Figure 3.5: World Agrifood Demand by Region, 2007 - 2050
  Figure 3.6: Agricultural trade relationships will develop on a global scale
Trade Policy and Facilitation Key
  Figure 3.7: Top Five Factors Inhibiting International Trade
Creating challenges and opportunities
Data Sources


Demand and supply factors to create rising oil prices
  Figure 4.1: Middle East Oil Supply vs. Asia Pacific Oil Demand (‘000s barrels per day)
  Figure 4.2: Liquids Demand by Sector, 1990 - 2030
  Figure 4.3: Drivers of Demand for Oil
Fuel efficiency will be vital in Global transportation
  Figure 4.4: Energy Types in Rising Demand (billion tonnes of oil equivalent) to 2030
Greater emphasis on intra-regional shipments
Data Sources


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