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Soon, Cloud ERP Users Will Be Surfing the Wave

by Chuck Olinger, COO and Executive Vice President Rootstock Software

For those that wonder if analytics will become one of the major tenets of an ERP system, consider this. It is getting almost impossible to read an article on ERP that doesn’t have at least a paragraph on analytics.

One of the best attended presentations/demonstrations at Dreamforce was presented by Rootstock COO and Executive Vice President, Chuck Olinger. It was on Wave Analytics, the first cloud analytics platform designed for every business user, making it easier than ever for anyone to explore data, uncover new insights and take action instantly from any device. Olinger demonstrated how Rootstock ERP Performance Dashboards would extend the power of the Salesforce Wave Analytics Platform to help every business user monitor measure and analyze the enterprise’s company performance, profitability and efficiency from any device.

That’s because the data used in the ERP can be a gold mine. With ERP Performance Dashboards, customers are able to capture and manage this valuable data quickly across departments and facilities. When built on the Salesforce Wave Analytics Platform, access to this data is supercharged to allow organizations to quickly adjust to their markets by drilling into insights and discovering trends across the business and industry to preemptively address needs, identify opportunities and take immediate actions.

What is Wave Analytics?

Wave Analytics is the first cloud analytics platform designed for every business user to explore data, uncover new insights and take action instantly from any device. Wave Analytics brings together a dynamic user experience, indexed search and a high-speed query processing engine into a single, vertically-integrated cloud analytics platform. Built from the ground up to be open, Wave Analytics makes it easy to build and deploy analytics apps faster than ever and extend the power of data-driven insights to every business need. Its schema-free architecture empowers business users – not just analysts or data scientists – to instantly query entire data sets or build customizable dashboards, lenses and charts to intuitively explore data. Optimized for both mobile phones and tablets, Wave Analytics’ responsive, free-form navigation empowers users to quickly analyze patterns and discover new trends from anywhere. And, because Wave Analytics is built on the Salesforce trusted, multi-tenant, open architecture, Wave Analytics apps are deeply connected to business processes and workflows, enabling business users to act on insights instantly to keep their business moving forward.

Typically, the example of how analytics are used in manufacturing has to do with its supply chain aspects. The classic is the salesman checking into the system from the field to find out when he can quote delivery to the customer. But, it can easily go further, especially when tied in with another trend, the Internet of Things.

For instance, in many manufacturing organizations, the Internet of Things is likely to become the driver for Condition Based Maintenance (CBM), increasing efficiencies by helping manufacturers save on labor and service costs. CBM uses the actual condition of the asset to decide what maintenance needs to be done. It dictates that maintenance should only be performed when certain indicators show signs of decreasing performance or upcoming failure to save time and money. However, that’s just the start of using analytics.

As the data brings the unit closer and closer to needing maintenance, reconditioning or refurbishment, alerts of the machine’s impending unavailability will be noted. That will help the salesman in the field. But, such data is also helpful in the plant. For instance, the data might suggest that one type of flange increases production cycles versus deploying another or it might predict that capacity in the factory needs to be reserved for refurbishment of the machine. Using that particular flange could create extra profit or reduce pricing to the customer. That’s the insight and personalization organizations want. And, that’s what analytics will give them.

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