Supply Chain Intelligence
Analytics represent the ability to make data-driven decisions, based on a summary of relevant, trusted data, often using visualization in the form of graphs, charts and other means. Supply chains typically generate massive amounts of data. Supply chain analytics helps to make sense of all this data — uncovering patterns and generating insights.
Supply Chain Intelligence As A Service
Gain A Significant Return On Investment
A recent Gartner survey revealed that 29 percent of surveyed organizations said they have achieved high levels of ROI by using analytics, compared with only four percent that achieved no ROI.
Increase Accuracy In Planning
By analyzing customer data, supply chain analytics can help a business better predict future demand. It helps an organization decide what products can be minimized when they become less profitable or understand what customer needs will be after the initial order.
Better Understanding Of Risks
Supply chain analytics can identify known risks and help to predict future risks by spotting patterns and trends throughout the supply chain.
Prepare For The Future
Companies are now offering advanced analytics for supply chain management. Advanced analytics can process both structured and unstructured data to give organizations an edge to get alerts on time to make the optimal decisions. It can build correlation and patterns among different sources to provide alerts that minimize risks at little cost and less sustainability impact.
Being able to access unstructured data from social media, structured data from the Internet of Things (IoT) and more traditional data sets available through traditional ERP and B2B integration tools.
Improving collaboration with suppliers increasingly means the use of cloud-based commerce networks to enable multi-enterprise collaboration and engagement.
The supply chain must harden its systems from cyber-intrusions and hacks, which should be an enterprise-wide concern.