The internet of things (IoT) and smart systems are ushering in a new era where end-users, devices, and sensors are all interconnected and are capable of interacting with one another. The convergence of smart analytics solutions with real-time machine data is further driving the amalgamation of the virtual and physical worlds, creating better transformational opportunities for players across industries. Having said that it’s crucial to note that IoT data analytics, data modeling techniques, and advanced cognitive technologies are key enablers of these opportunities.
However, numerous impediments have constrained growth in machine data and IoT data analytics, which means businesses are just scratching the surface of the real value that the vast stores of sensor-generated data can unlock. The need of the hour is advanced analytics tools and IoT data analytics capabilities that can help you analyze the true potential of connected devices.
Our IoT data analytics solutions can help you drive positive outcomes. Get in touch with our analytics experts for more insights.
Benefits of IoT Data Analytics
Improve Customer Relationships
IoT data analytics empowers businesses to identify trends and patterns in sensor-generated customer data. Business can leverage such insights to build effective strategies to improve and maintain stronger relationships with their customers.
Personalize Customer Experience
The customers today are highly demanding and expect companies to offer personalized promotions, offers, and marketing messages while interacting through online as well as offline channels. IoT data analytics and machine learning algorithms can help businesses analyze customer data by offering deeper insights to aid the creation of personalized experiences for its customer base.
Enhance Productivity by Identifying Process Inefficiencies
IoT data analytics plays a crucial role across industries, especially in the manufacturing sector, where businesses can use IoT data to track and monitor the cause behind machine failures and process inefficiencies.
The intersection of the physical and virtual worlds is poised to create new, unimagined opportunities for players across industries. IoT data analytics, cognitive technologies, and analytics tools will be the core enablers of business value. With the proliferation of technology embedded sensors are expected to generate troves of structured and unstructured data, requiring a whole new class of data modeling and IoT data analytics solutions to turn them into valuable insights.
Quantzig’s IoT data analytics solutions can help you analyze the true potential of connected devices. Request a FREE proposal to gain in-depth insights into our portfolio of analytics solutions.
How Quantzig’s IoT Data Analytics Solutions Can Help
The growing popularity of IoT based applications along with embedded sensor technologies have given rise to huge volumes of data, making it essential for businesses to leverage analytics tools to processes and analyze the data sets. As such businesses are leveraging IoT data analytics to efficiently incorporate insights obtained from sensor data into enterprise decision making. However, the associated complexities, format interoperability issues, lack of a consistent view, and analytics capabilities make it challenging to analyze sensor data and extract useable information in a timely, coordinated manner. Quantzig’s IoT data analytics solutions can help you mine sensor data to derive meaningful insights and reduce process inefficiencies.
