Achieving seamless data migration, while modernizing the existing ERP landscapes to SAP, has always been a point of friction for global enterprises. Organizations have qualms about the heavy transaction load posting in SAP and are often worried about having to hire more manpower to manage data. The net of this scenario is increased latency issues that inhibit agility to respond to market opportunities and rising costs. These drivers compel organizations to look beyond the cord-cutters and embrace the new-age digital technologies to energize their shift to SAP.
The answer lies in the Internet of Things (IoT) integration with SAP. IoT is a path-breaking technology that automates retrieval, storage, and analysis of data for event monitoring and predictive analysis. Merging IoT capabilities with SAP can create a unified data-centric ecosystem that can add impetus to digital transformation journeys in terms of automated data integration, real-time monitoring, and simplified business processes.
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Below, we have discussed various aspects where SAP, together with IoT, can scale innovation by effectively supporting increasing volumes of data workloads.
a. Automated Data Collection and Processing
IoT has the differentiated ability to embed intelligence in the SAP landscapes. The technology underlines the use of sensors across multiple lines of business to generate real-time insights. Organizations use these insights to free up employees time for analysis and decision-making and reduce workload with the help of automated data collection and processing. The consensus, therefore, is clear—IoT is significantly transformational to enable intelligent data environments inside SAP and amplify business outcomes at scale.
b. Real-Time Monitoring and Asset Management
Business environments are increasingly complex and continually exposed to ever-evolving threats. An operational vulnerability, if not duly mitigated, could result in unprecedented business loss. Enterprises, therefore, are moving rapidly to take advantage of the great SAP and IoT together for enabling real-time monitoring—more specifically in terms of machine status and performance metrics. By monitoring assets and extracting usable intelligence, organizations can gain a continual view into business processes, correlate events, and spot anomalies before they occur. They can predict impending failures and performance downtimes at hand, and act immediately to avert disruption and cost overruns.
c. Streamlined Business Processes
The synergy of SAP and IoT has manifested all sorts of growth signs for the enterprises and is enabling an endless variety of disruptive business models. With IoT in action, organizations can gather and analyze vast volumes of data to separate meaningful insights from the noise. This, in turn, can help them anticipate trends and behaviors in the digital world, and reinvent their business processes to tackle disruption head-on. The trends can be aligned with their growth strategies to handle upcoming innovation and sustain business viability.
d. Remote-Facility Management
IoT integration with SAP has brought new possibilities to streamline remote facility management and can help enterprises attain the status of fully functional intelligent enterprises. The technology, just as we know, enables advanced data environments that break down silos and connects remote operations for unparalleled insights. As a result, factory visibility can be boosted, and enterprises can identify performance behaviors on a continual basis, forecast what’s lying ahead, and prevent risks. They can keep the aging inventory in check, optimize cost consumption, comply with changing compliance standards, and ward off security breaches—with ease and precision.
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Go from Reactive to Predictive using IoT with SAP
As organizations aspire to stay efficient and cost-competitive in their SAP ERP systems, seamless data integration is becoming an important focus area. Internet of Things (IoT) integration with SAP not only simplifies data transfer but also helps in drilling down into insights to detect behaviors and patterns, which can be further exploited to support business learning, decision-making, and performance uptime.
Here are a few observations:
- The IoT landscape is maturing at warp speed. Technological developments are constantly in a state of flux. Given such a mercurial atmosphere, it’s important to conceive a data strategy with an agnostic coverage of SAP technologies. Organizations must analyze data at their disposal and identify adaptive technologies that can amplify intelligence.
- Be as lean and nimble as possible. Be open to change and adapt. Flexibility can help enterprises drive transformation change in sync with technological changes and minimize disruption.
- Focus IoT resources over a single area of SAP landscape to assess value deliverability. Building a pilot project or establishing a proof of concept can be a feasible starting point. Once success is achieved and value is realized, we can create a transformation strategy and build more on the momentum and scale organically.