2 Powerful Steps to Scale IoT ROI
The potential opportunities of IoT coupled with a global shift towards digital are driving rapid IoT adoption in every industry. However, most businesses experience a rather long time-to-value with IoT.
IoT deployment involves considerable net investment. From IoT deployment to realizing the expected ROI is strewn with multiple challenges. In our previous blog, we discussed some of the top variables that erode IoT profitability and ROI.
The increasing number of commercial launches of cellular technologies like NB-IoT, Cat-M1/M2, LTE-M, LoRa, etc. challenges companies with a formidable variety of sensor chipsets and the complex mix of technology and vendor heterogeneity. Coupled with that is the challenge companies encounter to accurately measure network quality. A network assessment is a crucial step for finding optimal locations for deploying IoT devices.
Lack of network validations may result in installing sensors in locations with poor connectivity, where they fail to perform as expected. This uncertainty not only impacts service SLAs and customer experience, but also increases truck-rolls, messes up inventory, and frustrates asset management. The collective impact of these factors is increased OpEx, compromised productivity, and reduced profitability.
Is it possible to break this status quo? In this blog, we present two powerful steps to overcome these challenges to accelerate time-to-value and ROI.
Step 1: Adopt a deterministic approach for IoT Deployments
The ability to accurately determine network quality is the key step to predictably improve service SLAs. It eliminates all guesswork from your IoT deployment design. You can now confidently ensure that IoT devices are deployed where connectivity will be good enough to support optimal performance. The N-View platform is a key innovation that provides designers and service technicians a highly user-friendly way to measure signal quality, and to validate RF design. The cloud-based analytics provides insights into network KPIs and significantly reduces OpEx as a result of suboptimal performance.
Step 2: Acquire greater control and visibility to boost IoT Efficiency
Data is the most critical asset in any IoT deployment. The ability to effectively leverage data is the key to unlocking the true worth of IoT. This requires visibility into real-time IoT sensor data, the intelligence to make sense of this data, and to apply those insights to gain greater control over business KPIs. Cloud-enabled IaaS platform enables you to do all of the above by adding remote asset monitoring and management capabilities that ultimately translate to more productivity gains, better decision-making, and predictable SLAs.
Both these steps deliver a surefire way to guarantee better customer experience that directly adds to your organization’s bottom-line.
In 23rd October 2019 blog, we discussed the challenges that every enterprise encounter when deploying IoT sensors. The part-2 impact both stationary or mobile IoT use cases and ultimately erode profits and ROI. Many enterprises live with this reality.
Introduce the two-step process
Step – 1:
Overcome these challenges with N-View
Step – 2:
What this step lacks