Industry analysis: industry trend, risk, and competition intensity, value chain analysis.

Competition positioning: where does the company stand in the competitive landscape? Abnormalities and alarms.

Enterprise diagnosis: strengths and weaknesses, performance drivers and levers, breakdown analysis to identify the problems and causes.

Use data analytics to predict demand with trend (as in new product introduction), seasonality, price elasticity and other environmental factors.

Identify the key drivers for demand and quantify their impact.

Build, validate and improve forecasting models with both continuous and categorical variables.

For which industries is inventory important and relevant?

How may inventory drive a company’s financial performance?

How do I know that I have an inventory problem?

How to classify and manage inventory?

Use data analytics to assess the impact of various strategies on all aspects of a supply chain.

One size does not fit all - customize supply chain strategies by product.

Conduct a competitive analysis and benchmarking to assess competitive environment and identify business opportunities.

Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning.

Supplier intelligence to explore and identify potential suppliers globally.

Supplier benchmarking to compare suppliers side-by-side on pricing, profitability, risks and supplying capabilities.

Bargaining power analysis to measure the leverage and negotiation power.

Sourcing analytics, which applies data analytics to sourcing, to explore and select the best suppliers meeting a company's needs.