Organizations must model business performance using current business systems that are only historical points in time. Predicting from these historical points is meaningless when internal and external data points and factors are not tied into the business processes in real time.
Goals and Objectives
Organizations using big data/analytics, cloud platforms and machine learning within the workflows can monitor and model business performance. Continuous improvement is viewed in real time and predictions can be done easily.
Enterprise Hardware, Personal devices, Cloud, Big data/analytics, Mobile, Applications, Business Consulting, Cognitive, IoT
Use Case Summary
Businesses using digital transformation technologies can watch continuous improvement occur in real time in the business as the systems learn what is required and what is not within a given business processes. In addition the business can now predict the future outcomes of a business based on the real time information.