The Internet of Things or IoT has taken the world by storm with billions of devices connected to the internet collecting, storing and sharing data. The real world examples of IoT on the move include self-driving cars, cashless supermarkets, and equipment monitoring.
During the past two decades, companies of every size and shape are adding new products and improving existing offerings with IoT technology. Even though, it is not as easy as it seems to be as it involves the fusion of hardware and software amidst huge challenges at scale.
For building enterprise IoT solutions, organizations need to set the foundation for success with careful planning and execution. The following three basic considerations need to be adhered to ensure success and these include-
Business visionOrganizations should have a strong business vision to develop successful IoT solutions as it involves a cross functional exercise. The management needs to define their IoT solutions by discovering answers to these questions such as-
What problems are they trying to solve?There should be a legitimate problem in hand that needs to be addressed in the market that can be solved by offering an IoT solution. In case, the management is just trying to enter the IoT wave to test the waters then it is time to reevaluate the strategy.
What capabilities do you have to build this solution?As an organization, it should have fundamental capabilities for building IoT solutions. In case, there is a lack of key/fundamental capabilities then it is time to start establishing collaborations with the right experts and vendors to build a robust first iteration.
What does success look likeOrganizations need to define their objectives and key results to measure the success of their IoT solutions. This involves either entering into a completely new market or looking to increase the existing market share by augmenting a current solution.
Technical and operational setupIoT systems require hardware and data infrastructure to manage, transmit and store data. Considering the use of open source technology is the need of the hour. Open source data software provides several benefits, namely the lower total ownership costs (TCO) and greater control over its implementation than its proprietary counterparts.
Besides, open source data software is now more advanced. For instance, Apache Kafka when included in data infrastructure as your pipeline’s streaming platform helps in getting a solution with the low latency scalability needed for IoT.
Time to market and know-howThe time to market for building an IoT solution can be very long due to IoT’s unique combination of hardware and software. It requires not only defining and produce/source the required devices and sensors but also the need to figure out how to manage the generated data.
Nevertheless, enterprises usually insist on building IoT solutions in-house for sake of control that results in heavy investment and requiring teams to work 24/7 to develop and set up software and also to maintain it.
When it comes to hardware it requires sourcing devices from manufacturers and then prototyping them and feeding data into custom built pipelines. This results in taking unnecessary risks and losing time in drawing a long development roadmap and resultant lost opportunities.
Conclusion-
In addition to the above considerations there are other ways to build and operate secured and globally scalable IoT solutions.
The most important action to be taken to tackle these problems is to collaborate with quality partners who have expertise in building high-quality IoT solutions that can make the data your devices produce actionable. It helps in liberating resources to focus on what matters most, that is providing superior value to your customers.
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