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IoT Startup Problems & Challenges (Development teams get stuck in…
IoT Startup Problems
& Challenges
Development teams get stuck in case of weak experience to build
end-to-end IoT software
.
Incorrect definition of an end client needs or a dedicated team for IoT development works on software only and do not understand main
use cases for startup’s clients
.
Some startups ignore the lack of
qualified specialists
that significantly influence on delivered product quality.
Only
basic product functionality
is implemented, the lack of technical skills does not allow creating much more complicated features for a piece of software with IoT integration.
Building IoT software requires strong expertise to handle the full cycle of development. To keep control over the process and plan their budget a startup must have a deep understanding of
eventual pitfalls
regarding the IoT industry specifics.
Solving a specific problem related to IoT software development in the contest of existing resource. Pick a technology
stack that is already used nowadays by professionals
to deal with this particular problem, both for the server and user sides.
An inaccurate understanding of the business problem that you are solving, the need for
high-security and a data transmission rate
from hardware devices to IoT software or a web application.
Creating business value with no
high-quality IoT software engineering solutions
.
Software integration in accordance with the user’s needs. A superficial understanding of
hardware and software interaction along with UX
for the final user. Inaccurate input data collection, processing of data on the server and client’s application side.
It’s challenging
to scale a product and grow a development team
while upholding the quality.
Adding new wearables or hardware to integrate with IoT software that already works with several numbers of specific pieces of hardware.
Security level for databases when data is transferred from personal devices or industrial equipment sensors to the cloud.
Misunderstanding
what technology to choose
to obtain the ability to implement all the IoT needed features without external services connection.
Unstructured data
become swamps that hinder performance.
Naming and Identity Management
Information Privacy
Interoperability and Standardization
Objects safety and security
Data confidentiality and encryption
Greening of IoT.
Financial obstacles.
Building an initial prototype (MVP).
Investors
Manufacturing
Inventory
Security Threat
Lack of experience to manage a complex system.
Connectivity is a major roadblock.
Alliances And Outsourcing Are Not Very Successful