Internet of Things (IoT) is expected to connect more devices than ever. During the Covid-19 crisis, this area has witnessed an unprecedented growth. This means IoT is a tremendous opportunity for organizations to reshape and generate brand new business models and address the current challenges and processes of automation and digitization.
Most of the data generated by IoT devices is unstructured data. Conventional platforms and databases simply cannot aggregate, store, process, and ‘normalize’ this data in an efficient manner. Newer and more data-agnostic platforms are needed.
When designing IoT projects and solutions, content and business goals must be determined in the first phase. In a variety of industries, organizations are increasingly using IoT to implement new business models, operate more efficiently, improve decision-making process and increase their business value. They can also better service their customers and they can engage more efficiently in supply chain.
IoT by industries
Our know-how
Defining IoT Strategy
Analyses of your business challenges, IoT Strategy and new business processes.
Proposing Architecture and Design
Planning, integration and implementation of IoT environment tailored to your needs.
Implementation services
Deployment, management and integration of data and information systems.
Creating a Data Environment
Creation of data environment for the needs of AI, machine learning and other analytical processes.
Deployment of Analytical Systems and Platforms
Optimize your operational and business decision-making with real-time data analysis.
Technologies
Exasol
A powerhouse among analytics database solutions, achieving 18 out of 24 top-rankings in its peer groups.
MicroStrategy
The Enterprise Analytics Use Case score of 4,7/5 places it high above the competition, with the closest follower scoring 4,06/5.
RapidMiner
A Visionary in 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Qlik
In the realm of data-driven decision-making, Qlik stands as a beacon for enterprises aiming to harness the full potential of their data assets.
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