How do I use predictive modeling techniques to forecast the probabilities for success in the my new product line?
Can I identify dead or obsolete stock and manage it through product aging strategies?
What is the best strategy for managing returns and does it make the best economic sense to recycle or refurbish defective products?
- Correctly analyzing barriers to market-entry, which vary widely with each product
- Responding to competition within a well defined supply tier architecture
- Dealing with the high threat of product substitutes
- Continually driving product innovation
- Managing product life cycles to maximize returns
All of these business dynamics must be with accurate, timely information. There are many ways to deliver it with supply chain analytics solutions:
Executive Information Systems (EIS) - Executive dashboards with drilldown analysis capabilities that support decision-making at an executive level.
Standard Reports are designed and built centrally and then published for general use. There are three types of standard reports.
- Static reports or canned reports - Fixed-format reports that can be generated on demand.
- Parameterized reports - Fixed layout reports that allow users to specify which data are to be included, such as date ranges and geographic regions.
- Interactive reports - These reports give users the flexibility to manipulate the structure, layout and content of a generic report via buttons, drop-down menus and other interactive devices.
- Identify High Impact Control Areas
- Develop Strategic Supply Chain Analytics
- Solidify the Approach
- Build a Business Case for the Implementation
- Conceptualize the Solution
- Implement the solution
- Operationalize the Solution
So while advanced supply chain analytics is promising in terms of making our supply chain leaner, do u think supply chain analytics would be ultimate solution to solving Supply Chain Problems ? Is it really something beyond ERP and Big Data?
 Building Tomorrow's Enterprise - Case study by Infosys