The Cross Functional Enterprise Landscape

Predictive Maintenance

Today’s Enterprises need to continuously Design & Experiment, Diagnose Product Issues, as well as Optimize their Processes & Systems at a rapid pace. Despite large investments in technologies and trends from Digital Transformation such as DataScience/ML, Analytics, IOT, Automation etc. and deployment of methodologies and techniques for Forecasting, Experimentation, Monitoring, and Incident resolution, business managers still have to constantly chase data and insights across teams and systems to make business critical decisions in order to mitigate risks, or to help the business gain strategic advantage over its competitors.

Since the entire Enterprise ecosystem comprised of cross-functional teams, partners, suppliers, customers etc. is in a dynamic state, aligning the planned objectives and actual outcomes as expressed through data being generated across systems, processes, and teams is a huge challenge for business managers and executives. Insights generated by current reporting and business analytics solutions while largely useful, are just not sufficient to identify the hotspots or issues that may be brewing, and/or any risks hidden by blind spots.

Whether it’s Cloud Services, Manufacturing, or a Healthcare Enterprise, their CXOs, business managers, and analysts do not have a quick and consistently reliable way to make decisions, related to Enterprise Strategy, Process, or Systems Optimizations yet meet performance, safety, governance, customer experience and business efficiency criteria.

What is needed is a solution that works on top of existing Cross Functional Processes, Systems, and Teams to ensure that the Enterprise objectives are continuously tracked, mitigated & optimized iteratively to meet or exceed the business goals.

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