How is Data Mining Enhancing Supply Chain Management?
Data mining and business intelligence go hand in hand. Right from crime prevention agencies, mobile service providers, to major players in the e-commerce and retail industry, data mining has been adopted to build better business strategies and boost profit margins. In the case of supply chain management (SCM), data mining has emerged as a vital […]READ MORE >>
Data mining and business intelligence go hand in hand. Right from crime prevention agencies, mobile service providers, to major players in the e-commerce and retail industry, data mining has been adopted to build better business strategies and boost profit margins. In the case of supply chain management (SCM), data mining has emerged as a vital tool as it enables seamless integration of complex networks like inventory, production costs, and customer needs to accelerate core competencies.
Data Mining: Making Sense Out of the Chaotic Data
A multi-disciplinary field, data mining employs tools like machine learning, artificial intelligence, and pattern repository system. All these tools together aid in deciphering the hidden patterns and relationships between the different points in the supply chain.
One crucial point which data mining puts into perspective is that it is not the quantity of the data, rather its quality which holds the key to the success of your enterprise. The standard way in which data mining works is:
- Assessing large sets of data and databases
- Use of algorithms to discover clear patterns in the data
- Forecasting probable outcomes
- Building a reserve of actionable information
By allowing early detection of problems in the supply chain, anticipating wear and tear of the assets, and taking the consumer demands into consideration – this technology facilitates manufacturers to have their production line on schedule.
Data Mining to SCM’s Rescue
The problem which most supply chain managers face is to efficiently interpret the technological and logistical implications of the vast reserve of information. And as if this was not a challenge enough, integration of various business verticals in the supply chain process is another major hurdle they have to overcome.
In an industry where quick turn-around time is the key to gaining higher market share, it is essential to take the right decisions at the right time. Data mining not only helps in avoiding the occurrence of ‘bullwhip effect,’ but also facilitates easy integration of various verticals in the supply chain.
The inputs from data mining enable:
- Well-timed processing of mass information
- Right selection of cooperation partners
- Better management of the loopholes in supply chains
- Improved structure of supply chains
Given the pace at which supply chains are growing, adoption of data mining technique is critical to improve the decision-making process and build competitive supply chains.