September 9, 2019

Deriving More Value from IoT and Other New Big Data Sources

The ibi Team

Topic:   Data

Last updated: July 28th, 2020

The use of connected devices is growing rapidly. Today, the internet of things (IoT) consists of many devices – sensors, social media, location data, clickstreams – and exists in many different places. In fact, information generated by devices is outpacing information generated by humans.

This new wealth of data presents a tremendous opportunity for companies seeking to improve data analysis and predictive analytics, enable automation, enhance internal operations, and promote revenue growth. Industries like manufacturing, state and local government, retail, and logistics have embraced IoT to improve the customer experience, better manage and maintain vehicles and other assets, automate alerts, and enhance collaboration with business partners and other third-party stakeholders.

But in order for IoT initiatives to succeed, data must be efficiently captured from IoT devices, then unified with information from other, traditional sources to avoid data silos.  Additionally, the quality of that data must be guaranteed, before it is leveraged and shared. Finally, the right data must be delivered at the right time, to the right decision makers.

Our new e-book, The Beginners Guide to IoT: Deriving Value From New Big Data Sources, discusses the many ways companies can identify and capitalize on IoT opportunities to improve nearly all aspects of their operations. The benefits of an effective IoT strategy, as well as potential use cases across many industry sectors, are also included.