Predictive Analytics Q3, 2012: Today's Supply Chain, Tomorrow (Single Edition): The Purchasing Manager’s Index As A Forecasting Tool; The Future Of Manufacturing In Europe; 3PLs - Diversifying To Succeed
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?
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
Combining data sources encourages better demand forecasting
Factoring in the complexity of modern supply chains
New sectors call for a change of approach
1.0 INTRODUCTION
1.1 Predictive Analytics
1.2 Research Methodology
2.0 THE PURCHASING MANAGER’S INDEX AS A FORECASTING TOOL
Purchasing Manager’s Index methodology
Table 2.1: Major Purchasing Manager’s Indices
PMI strengths and weaknesses
Figure 2.1: Mapping PMI and GDP in Europe, 1999-2012
Figure 2.2: Global Manufacturing PMI, 2003-2012
Consumer confidence as an indicator
Figure 2.3: Global Consumer Confidence by Country, Q2 2012
Table 2.2: Major Consumer Confidence Indices
Figure 2.4: Japan Industrial Production, % Change Year over Year, 2011-2012
Combining data sources encourages better demand forecasting
Data Sources
3.0 THE FUTURE OF MANUFACTURING IN EUROPE
Declining activity is not uniform across Europe
Figure 3.1: Manufacturing as a percentage of GDP, 1997-2010
Europe will target manufacturing segments to retain
Figure 3.2: UK Industry Policy: The Future of Manufacturing in Britain
Moving up the value chain
Table 3.1: Manufacturing segments by technology level
Figure 3.3: Average Hourly Wages in Emerging Economies, 2000-2015
Factoring in the complexity of modern supply chains
Figure 3.4: Disaggregated Global Supply Chains – Boeing 787 Dreamliner
European manufacturing in 2020
Figure 3.5: Automotive Production by World Region, 2000-2020
Figure 3.6: European Chemicals Growth Scenarios, 1996-2020
Figure 3.7: Chemical Industry Output in Developed Regions, 1970-2020
Figure 3.8: Emerging Markets Share of Global Pharmaceutical Market, 2010-2020
Data Sources
4.0 DIVERSIFYING TO SUCCEED
3PLs receive a wake up call
New sectors call for a change of approach
Meeting world food demand in 2050
Table 4.1: Composition of World Population by Country and Region, 2020
Figure 4.1: World Agrifood Imports by Commodity, 2007-2050
Figure 4.2: World Food Demand Outlook, 2000-2050
Opportunities in construction: building the future
Figure 4.3: Largest Construction Markets by Country, 2020
Chemical supply chains becoming more complex
Table 4.2: World Chemical Production Growth, 2012-2020
Diversifying brings strength in depth
Data Sources
5.0 APPENDIX
Combining data sources encourages better demand forecasting
Factoring in the complexity of modern supply chains
New sectors call for a change of approach
1.0 INTRODUCTION
1.1 Predictive Analytics
1.2 Research Methodology
2.0 THE PURCHASING MANAGER’S INDEX AS A FORECASTING TOOL
Purchasing Manager’s Index methodology
Table 2.1: Major Purchasing Manager’s Indices
PMI strengths and weaknesses
Figure 2.1: Mapping PMI and GDP in Europe, 1999-2012
Figure 2.2: Global Manufacturing PMI, 2003-2012
Consumer confidence as an indicator
Figure 2.3: Global Consumer Confidence by Country, Q2 2012
Table 2.2: Major Consumer Confidence Indices
Figure 2.4: Japan Industrial Production, % Change Year over Year, 2011-2012
Combining data sources encourages better demand forecasting
Data Sources
3.0 THE FUTURE OF MANUFACTURING IN EUROPE
Declining activity is not uniform across Europe
Figure 3.1: Manufacturing as a percentage of GDP, 1997-2010
Europe will target manufacturing segments to retain
Figure 3.2: UK Industry Policy: The Future of Manufacturing in Britain
Moving up the value chain
Table 3.1: Manufacturing segments by technology level
Figure 3.3: Average Hourly Wages in Emerging Economies, 2000-2015
Factoring in the complexity of modern supply chains
Figure 3.4: Disaggregated Global Supply Chains – Boeing 787 Dreamliner
European manufacturing in 2020
Figure 3.5: Automotive Production by World Region, 2000-2020
Figure 3.6: European Chemicals Growth Scenarios, 1996-2020
Figure 3.7: Chemical Industry Output in Developed Regions, 1970-2020
Figure 3.8: Emerging Markets Share of Global Pharmaceutical Market, 2010-2020
Data Sources
4.0 DIVERSIFYING TO SUCCEED
3PLs receive a wake up call
New sectors call for a change of approach
Meeting world food demand in 2050
Table 4.1: Composition of World Population by Country and Region, 2020
Figure 4.1: World Agrifood Imports by Commodity, 2007-2050
Figure 4.2: World Food Demand Outlook, 2000-2050
Opportunities in construction: building the future
Figure 4.3: Largest Construction Markets by Country, 2020
Chemical supply chains becoming more complex
Table 4.2: World Chemical Production Growth, 2012-2020
Diversifying brings strength in depth
Data Sources
5.0 APPENDIX
