It’s time for IoT to leave hype and Proof-of-Concepts behind and become an integrated part of day-to-day IT operations.
You need a few things to develop your IoT capability (well, you need many more, but you stand and fall with these):
Services are most often vertical but the architecture must be horizontal
For the successful implementation of IoT applications, enterprises need to integrate various IoT connected products with right IoT platforms. Lack of proper integration could lead to loss of functionality and efficiency making it impossible to deliver the envisioned value to the customers.
In 2016 Research vice president at Gartner, Benoit Lheureux, said “Half the cost of implementing IoT solutions will be spent integrating various IoT components with each other and back-end systems. It is vital to understand integration is a crucial IoT competency.” Many failed IoT projects have proved him right.
McKinsey agrees: “40% to 60% of the total values lies on our ability to achieve interoperability between different IoT systems“. With numerous vendors, OEMs, and service providers, it becomes really difficult to maintain interoperability between different IoT systems.
The major challenge here are too many IoT endpoints, standards and incompatible vendors that need to be connected to aggregate the sensor data and transmit it to an IoT platform. Only with deep integration, companies can mine the data to generate insight and to predict the outcomes.
Organizations have been developing enterprise applications for years, where the typical enterprise architecture consists of (fairly) homogeneous endpoints that communicate directly with servers behind firewalls on-premises or in the cloud over standard TCP/IP communications protocols. But, when it comes to IoT you must manage many different endpoint types, that vary in their compute power, battery life, and support of communications protocols.
Next challenge is how to collect and manage the data generated by these endpoints. IoT devices generate data at volumes that many companies are not yet well equipped to deal with, so they must evaluate the capabilities of their existing infrastructure in the areas of high-scale data ingestion, storage, and analytics. A related challenge is figuring out where data will be collected and processed — on premises or in the cloud, or both. Organizations must also determine how they will integrate IoT data with other key systems. Combining IoT data with existing data can significantly enhance services and applications.
IT departments must find innovative ways to integrate existing systems with newer deployments to break the silos and create a centralized solution. Alleviating this challenge is essential to realizing the vision of digital transformation and increasing the ROI from IoT deployments. Very rarely does an organization have the ability (or willingness) to replace legacy systems when developing their IoT applications.
To address this challenge, Sensative’s Yggio has a horizontal architecture that enables organizations to integrate all the new IoT with the systems they currently have deployed, through a single standardized API.