Real-Time Analytics and the Internet of Things are a Perfect Match
Real-Time Analytics and the Internet of Things are a Perfect Match
The Internet of Things is here and is here to stay. With billions of devices already connected and another trillion coming our way in the next decade, organizations should prepare themselves for a data flood. A data flood that can generate real-time insights in how the organization is performing. Using a plethora of data sources, such as smart meters, in-store sensors, medical devices, automotive sensors and wearables, organization can start to optimize their business.
According a recent customer survey by Vitria, that is exactly what a lot of the organizations surveyed are already doing. The executives across the enterprise, consumer and industrial sectors see massive opportunity with real-time Big Data analytics to drive business outcomes for their Internet of Things initiatives. In fact, 48% of the companies surveyed are already actively working on a real-time analytics project for the Internet of Things. Internet of Things analytics is seen as a core investment strategy and predictive maintenance is the leading business need for these organizations.
Real-time analytics for Internet of Things projects is rapidly becoming mainstream and according to the survey; it is becoming a strategic area for investments. Analysing the data streams in real-time can be seen as a requirement for organizations to become successful with IoT projects, since the data will be generated at high velocity. Especially the predictive insights that can be generated with real-time analytics are very valuable to organizations, as can be read from the below infographic. The Internet of Things is just getting started, but the below information offers interesting insights in what can be expected when the Internet of Things becomes mainstream.

Cover image: IBM
Image Credit: Scanrail1/Shutterstock
Frequently asked questions
What is driving the need for real-time analytics in IoT?
The Internet of Things generates data at high velocity from sources such as smart meters, in-store sensors, medical devices, automotive sensors and wearables, creating a data flood. Analyzing these data streams in real-time is seen as a requirement for organizations to successfully manage IoT projects and generate actionable insights from the vast amount of connected devices producing data.rn
Link to this questionHow many companies are already using real-time IoT analytics?
According to a customer survey by Vitria, 48% of the companies surveyed are already actively working on a real-time analytics project for the Internet of Things, showing that this approach is rapidly becoming mainstream across enterprise, consumer and industrial sectors.
Link to this questionWhat business need is leading IoT analytics investment?
Predictive maintenance is identified as the leading business need driving investment in Internet of Things analytics. Executives across enterprise, consumer and industrial sectors view real-time Big Data analytics as a core investment strategy to drive business outcomes for their IoT initiatives, with predictive insights being especially valuable.
Link to this questionWhy are predictive insights valuable for IoT organizations?
Predictive insights generated through real-time analytics are considered very valuable because they help organizations optimize business performance using data from connected devices. Since IoT data is generated at high velocity, real-time analysis allows organizations to act on insights quickly, supporting strategic decision-making and improving outcomes like predictive maintenance.
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