The Internet of Things (IoT) is a new situation in which devices, machinery, appliances, electronics and digital information is all connected together. Analytics refers to the analysis of different types of data. When joined together, the buzzwords IoT and Analytics beg a clear question
what is meant by IoT Analytics ? How could it help my business ? Business executives wonder Will it allow me to...
Analyze all the details of historical data on a machine or device?
Monitor devices to see if they are behaving correctly?
Slice and dice data-sets to understand odd behavior of certain sets of machines or devices?
Use machine learning to detect patterns that humans could never find?
Understand the performance requirements of networks and systems that gather and support IoT applications?
As many industry observers have noted, the variety, velocity and volume of data in IoT is unprecedented. The irony in IoT is that while all this data is potentially useful, typically its value goes away quickly because of the rich context required to make sense of the data and act intelligently on it.
In addition to the list of questions above, a robust understanding of advanced analytics and ultimately the generation of business value leveraging IoT data depends on a systematic approach to ingesting data, putting it in the context of the situation and history relating to the use case, and acting on it.
On a surface level, IoT Analytics is really fairly simple and straightforward. However generating business value from IoT Analytics can be very complex and has many businesses taking a wait and see approach. This is going to be a mistake because the value in leveraging advanced analytics far exceeds the cost of getting it right. Furthermore, many businesses make it much harder than it needs to be.
We have been focusing on making it easy for companies to get value from data quickly. From ensuring you have the right data at the right time, to effectively leveraging predictive models, we make it easy for you to make decisions.