Happiest Minds’ MIDAS analytics platform extracts actionable insights latent in the IoT/M2M datasets to enable business transformation. Designed to utilize system capabilities to usher in a new wave of innovation, MIDAS analytics also supports rapid, custom-analytics solution development to reduce capital and operational costs while improving overall business value.
As the use of connected devices is on the rise, businesses need real-time analytics to harness these connections for meaningful insights. MIDAS, an IoT analytics platform, can help businesses leverage the information hidden in various data streams to improve monitoring, reporting, and rule-based actions.
Benefits & Key Features
- Modular and scalable platform architecture built on big data infrastructure
- Enables rapid development of custom analytics applications
- Designed to run on both on-premise and cloud servers
- Provides infrastructure building blocks for both run time and batch analytics
- Repository of pre-built algorithm services and point solutions
IoT/M2M data sources generate significant volumes of data, making it imperative for businesses to leverage newer technologies to store, process and analyse information. Designed to drive business value through data analysis, MIDAS analytics platform features a modular and scalable platform architecture built on big data infrastructure.
With some businesses still relying on traditional infrastructure—most moving to cloud and the rest using a combination of both—MIDAS provides the right platform for them all to develop and deploy their IoT/M2M analytics applications. Like a service platform, our IoT analytics platform also comes with infrastructure building blocks that facilitate rapid development of customized applications built to cater to specific needs.
IoT/M2M Analytics Solutions
Happiest Minds offers a range of analytics solutions to help businesses get meaningful insights. MIDAS offers many pre-built algorithms and services that operate over the IoT/M2M data. MIDAS’s algorithms are applicable in automotive space (passenger cars and commercial trucks), industrial automation and home automation.