Data Integration Consultants – Challenges faced with IoT Devices

IoT devices have evolved over-the-time. From being a customer novelty to next-gen business ecosystems, IoT devices have tremendous capabilities to accomplish almost every business goal. Devices like home sensors, fitbit, smart watches, heartbeat monitors, etc. have become useful because of their easy to set-up and administration, diverse capabilities and low cost.


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People don’t just want the high-value performance of IoT at home but at work as well. Companies anticipate IoT to be one of the major technologies to serve as a source of new performance gains and operational insights as they embark on digital transformation.

IoT devices are everywhere, but Data Integration Consultants are facing certain issues with them.

What are these challenges?

IoT Digital Transformation & Data Integration

Almost 8 out of 9 companies have embarked on the digital-transformation journey, seeking to re-invent their business processes to leverage the latest technology. IoT enables digital transformation by offering a cost-effective set of solutions, which allow end-to-end monitoring, operation processes and full control of physical infrastructure.

  • IoT Applications: The general applications involved in IoT have diverse scenarios such as quality monitoring of manufacturing in a company. The key application of IoT is that it optimizes the power consumption in an organization and tracks the flow of patrons via a retail store.
  • Scalability & Effectiveness: To leverage IoT effectively, a business ecosystem needs an effective and scalable means of gathering, connecting and delivering data to each IoT device. The sheer volume of individual devices causes a challenge when managing the connectivity between each device. Where various sophisticated solutions such as wireless access point integration can be used with standardized configuration and profiles. Besides, IoT devices are simple and lack the robustness and have typical IT environment administrative features. In addition, there’s a minor API standardization across IoT vendors and consequently, the centralized service (which is independent of IoT devices) typically perform data aggregation and connection management.


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How Data Integration is Valuable for IoT?

  • To Accomplish business demands:

Digital assistance or a smartphone may all be needed to manage across a few devices and users in the consumer space. But, an organization with dozens of IoT devices and thousands of employees demands the success of integration capability enterprise-scale set. That’s why companies need a hybrid data integration platform that supports both real-time as well as batch data integration. Real-time data integration is imperative for IoT applications.

  • To bringing data to the “things”:

Sometimes, IoT solutions may require bringing data processing close to the edge – to the ‘things’ where the data is created. So you need a handy data integration platform that integrates data in motion as well as data at rest. They may also require data aggregation in IoT platforms and other stores where it can be massively analyzed.

New IoT data is reconciled with traditional master data. Data is constantly reused and interacted and is available in various locations throughout decidedly distributed IoT infrastructure.

Data Integration can save significant time for the admin on each IoT device.

Add new devices, monitor existing devices or orchestrate the flow of data to a warehouse in no time with data integration.

So, no matter how outstanding your IoT devices set-up is, having Data Integration Consultants beside you is a smart move. ExistBI have consultants in the US, UK and Europe with knowledge and experience to help you.

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