Collaboration of Information & Timing are two extremely critical aspects of Supply Chain Intelligence and Information Management. With that said, it’s important to understand where data, analytics and business intelligence can be used. The following offers a model to classify the different aspects of collaboration.
Human decision making in large part relies on intuition and gut-feel. Data simply validates their gut-feeling and the decisions they make that drive the part of the business for which they are responsible. As companies become metrics or data driven, more reliance is placed on the data, and individual access to data is even more important. Data used for specific purposes, by individuals for instance the CFO, is usually not formally shared between employees except to point out or highlight particular data items.
Many decisions are made by ad-hoc teams, and empowering them with the ability to query and retrieve data whenever they need it results in meaningful information, helping companies leverage their investment in data and improve their business performance. Supply chain data or intelligence is pulled from the BI system and presented to the team on an as-needed basis, with or without the assistance of IT for analysis.
The next level of maturity on the collaboration continuum is the availability of a system to push critical business information to the appropriate parties on a scheduled basis. Relevant data regarding supply chain effectiveness, disruptions, open orders, and inventory levels are pushed to key stakeholders inboxes on a pre-set schedule. Companies need a reasonably high level of maturity in regards to their data analytics in order to know what information is critical to push.
The ability of a company to alert key decision makers when some aspect of the businesses is not meeting predefined levels is essential. Regardless of the time or their location, decision-makers are automatically notified of changes in key metrics, allowing timely decisions on important aspects of the business such as falling inventory levels.
The highest level of maturity is reached when people can come together and collaborate on solving business problems. When these problems occur, systems allow the right individuals to have input into helping to solve the solution. Individuals inside and throughout the organization’s supply chain are able to access data, share views, ask questions, and track progress within the business intelligence platform.