Analytics of things is next buzzword after the popularity of the Internet of things(IoT). Internet of things (IoT) generates a massive amount of data which Analytics of things (AoT) analyses to make a decision relevant to the business. Analytics are decisive to make connected devices smart and to make perform intelligent actions. Analytics of IoT devices makes them more efficient. AoT analyses the huge data generated by IoT and only by analysing the data becomes meaningful and not by collecting them.

However, IoT itself is evolving and AoT is at an incipient stage. One of the major challenges that AoT faces is Data Storage issues of real-time data that IoT generates. The data generated by each sensor is sizable and managing such huge data is a difficult task. Two major challenges faced by businesses are avoiding junk data and ensuring data privacy. It is vital to protect the data generated from devices, especially at confidential places.

Recently cyber-attacks are creating a lot of hype. Using Analytics, businesses can begin to proactively identify possible threats and enable timely detection and mitigation of such attacks. Big data security analytics helps the enterprises to scrutinize through a hefty amount of data generated inside and outside the organization to unwrap the hidden relationships, detect patterns and remove security threats.  Privacy policies are enhanced with security analytics. Analysing data from the Internet, smart devices, and social media can help law enforcement detect criminal threats better and collect evidence. Instead of waiting for a cyber-attack, organizations can address it proactively. Innovations in appliances, security software and services have automated many detection and blocked tasks, resulting in improved protection from unwanted cyber-attacks and intrusion-prevention systems.