Internet of Things (IoT) / Data Analytics
An IoT approach to data analytics has many benefits, primarily access to more data and better insights. It also has its challenges. The volume and speed at which data is generated and collected can strain even the most robust networks. When timing is critical, delays in receiving and analyzing mass amounts of data can have serious consequences. That’s where the IoT comes into play.
The more you know about any one thing, event, place, or situation, the more reliably you can make predictions about what will happen in the future. Being able to analyze, compare and spot patterns quicker and more reliably than humans, relationships begin to emerge that were previously hidden, giving us insights into how we can initiate change.
Novel sources of data are constantly emerging that challenge our abilities to find, ingest and make sense of it. What will data from autonomous vehicles mean for business, transportation, logistics and security?
Culmen International is exploring the expanding digital domain by using big data methods with data-driven simulations, and advanced predictive analytics to enable our clients to gain insights and advantages about the risks and opportunities confronting them with the IoT.
Gather data from more sources than ever before
Find security risks within IoT easily
Use big data analytic algorithms to make sense of the large amount of data
Our ability to encompass the Internet of Things allows for gathering significant amounts of data and being able to thoughtfully interpret the data to find risks and patterns.