SAP has been releasing new executions on its SAP HANA platform all year, and all designed to increase its footprint in the IoT. In a recent announcement the company dropped an anchor in the predictive and analytics world with its SAP Asset Intelligence Network and the SAP Predictive Maintenance and Service solution. Together, they are designed to help equipment manufacturers, service providers and asset operators benefit from the data they’re pulling out of the IoT.
These two products aim to provide the applications and the business network for customers to derive new insights from their data and for asset management professionals to move from a reactive to a more proactive approach to solving problems.
“We are now at a point where business challenges such as balancing cost, risk and performance meet technology enablers like in-memory analytics and cloud-based platforms for collaboration to initiate a quantum leap in operational excellence,” said Hans Thalbauer, SVP, Extended Supply Chain, SAP. “Connectivity across the Internet of Things is helping machines talk to business information systems, and our new offerings provide the network and ability to take insight to outcome, creating a completely new digital asset lifecycle.”
Asset Intelligence Network offers a single, global register of model and equipment information on a secure cloud platform to connect multiple business partners for collaboration in a central clearinghouse and communications hub.
The Predictive Maintenance and Service is designed to help businesses decrease maintenance and service costs, while boosting availability and reliability of enterprise assets. Using predictive analytics on the SAP HANA platform, the solution processes vast amounts of real-time operational data from sensors and smart assets.
“Being able to anticipate events and maintenance operations helps increase the efficiency and performance of our enterprise assets,” said Falko Lameter, CIO, Kaeser Kompressoren, a customer. “SAP Predictive Maintenance and Service enables us to align our products and services more closely with our customers' use patterns and operating needs.”
Edited by Maurice Nagle