IT downtime and outages are an accepted cost of the digitization of the enterprise. But what do you do when you spend more time solving problems than creating value?
Fixing business processes used to require high paid consultants and months jiggering with systems and workflow. Back then, business intelligence was an analytics add on to ERP systems. Powered by the cloud and predictive intelligence, mobile enterprise resource planning (ERP) apps are identifying problems and improving processes before issues arise.
More Operational and Actionable Data
Big data on the cloud is making the enterprise smarter. AI and machine learning are making them self-learning. What happens when you combine virtualization with powerful predictive analytical tools? With a new level of visibility and predictability, more problems will start fixing themselves.
In an ideal world, you have no downtime. When problems arise, business continuity is ensured and IT disaster recovery rapid and resilient. While waiting for IT nirvana, downtime is reduced. Enterprises with high downtime report 16 times higher costs for troubleshooting. For those with predictive visibility into potential problems in hybrid cloud environments, IT managers are reporting few to zero outages.
Improved Extendibility and Scalability
More solutions to nagging ERP problems can be found in seamless plug-and-play extendibility options. These may be proprietary apps from your ERP vendor or third party developer plug-ins and extensions. ERP software is the top target of AI and machine learning developers. That means if the solution you want today is not available, it likely will be tomorrow.
Today's ERP manager should never settle for what can be accomplished today. Especially in production and order fulfillment areas, you should be asking how machine learning is making your processes smarter and more efficient over time.
Smarter Factory Floors
With smart barcoding and RF tags, the pulse of the entire supply chain is flowing through ERP, from PO-to-payment workflow. On the factory floor, predictive maintenance can signal order fulfillment problems. When orders are changed and complex demands made, smart machines are starting to take over. To accelerate virtualization of the factory, manufacturers plan to increase their spending on ERP and related software by 10 percent annually from 2019–2024, from $154 billion today.
While reducing troubleshooting and downtime, smarter ERP software is changing the relationship between ERP vendors and their customers. Enterprises optimizing their calls to NetSuite assistance and other ERP support services for troubleshooting, and more requests for guidance on how to create smarter learning ERP systems.