Data that is being collected at an exponential rate is collectively known as big data. In its raw form, data is meaningless. So, to gain maximum benefit, it needs to be processed and turned into actionable information. As per an article by Forbes, keeping the rate of data growth in mind, approximately 1.7 megabytes of new information will be created every second for each human being on the planet by the year 2020.

Smart data is formatted digital information that can be acted upon before being sent for further data consolidation & analytics. It is a result of clear focus on purpose, insights, actions & resulting outcomes. Thus, it refers to the data that is decisive, valuable and actionable in real time. Smart data facilitates analysis and interpretation of data for better decision making and optimized data driven functions. The term smart data is often associated with IoT (Internet of Things).

Application Of Smart Data

  • Retail – Smart data can help in understanding customer requirements as well as help in localized promotions.
  • Telecom – It assists in bandwidth allocation.
  • Manufacturing – Can be used for proactive maintenance.
  • Healthcare – Monitor patient’s health reports to ensure complete safety & care.
  • Transportation– In driverless cars and also in detecting unsafe driving.
  • Financial Services – It can help in detecting & preventing financial frauds.

Difference Between Big Data & Smart Data?

The primary difference between big data & smart data is that the latter is actionable and adds more value to the data. Big data refers to the humungous amount of data that is collected whereas smart data is much more useful and applicable. So even though there is abundance of data in case of big data, it is usually unintelligent and needs to be churned up before it can be used for analysis. Smart data on the other hand is accurate & agile that can give better insights.

Collecting Smart Data

It is common for organizations to collect everything and store it in their data warehouse with an aim to use it for decision making. However, since the data is collected without any specific purpose in mind it often lacks quality. To curb this problem, an organization needs to be smart enough in its way to use the resources to collect data that is relevant to their business. Smart data is gaining popularity due to its relation with the coming algorithm economy. So, collecting only important and useful data does not

For more information about smart data, call Centex Technologies at (254) 213-4740.