IOT - Data Analytics

Our solutions would answer the following questions in a smart way.

  • What is IoT?
  • What is the business value of the data generated by the IoT?
  • What do we need to do to realize that value?

The Internet of Things refers to devices other than computers that are connected to the Internet and can send and receive data. The Internet of Things (IoT) is quickly emerging as a very significant medium of transformation since it works well with the physical and digital worlds. Nowadays the IoT, using new data analytic approaches, allows organizations to collect and analyze data from sensors on manufacturing equipment, pipelines, weather stations, smart meters, delivery trucks and other types of machinery.

The straight forward idea behind IoT is that sensors and microchips can be placed anywhere and everywhere to create a collective network that connects devices and generates data. Instead of that data sitting in an information chamber, either idle or accessible to only a few specialists, it becomes part of data analytics where it can be analyzed in the context of other information to provide value to the business, enhancing swift decision making.

Our solutions provide you with a detailed vision of how to easily extract, prepare and blend your data. In a precise note our solutions cover the following:


You get an answer for "What is likely to happen in the future?" This is used to analyze historical data, and forecast what might happen in the future. Our solutions help you identify business operational risks and anticipate future opportunities based on performing analytics on data from transactional databases and real-time data. There are many different kinds of databases, include MS Access, MS Excel, Oracle, DB2, SQL, MySQL, and a host of others.


It is the combination of the above two to provide answers to “Now what should we do?” These systems use optimization and simulation algorithms to generate advice on possible outcomes and answer: “What should we do?” Our solutions for prescriptive analytics optimize decision-making to show companies what actions to take to maximize profitable growth, given their business constraints.


The analytics use data aggregation and data mining techniques to provide insight into the past and answer: “What has happened in the business?” Our solutions analyze your business KPIs that help understand your business at a mass level and evaluate the operational processes.