Currently operational metrics are monitored from a historical perspective. Information is brought forward from transactions within the system, without context of real time influencers such as weather, geo-political events, supply chain disruptions and other every day factors that impact the businesses ultimate performance.
Goals and Objectives
Machine learning, big data/analytics, and hardware updates make it easier for companies to compare current real time operational metrics with previous performance and a predict outcomes based on dynamics internal and external to the business.
Enterprise Hardware, Personal devices, Cloud, Big data/analytics, Mobile, Applications, Business Consulting, Cognitive, IoT
Use Case Summary
Business internal management metrics such as improvements in processes, cycle times and results are automated and in real time. Companies are no longer trying to do activity based costing but instead can now do actual real time costing.