Different Applications of Data Analytics

Data analytics has been spreading rapidly among all parts of the world. In the present day, it is easily considered to be one of the most trending and demanding career options that a person can enter. Data analytics has many real world applications, we will discuss those applications in this article.
Security or Policing
Many cities have started using predictive analyses to predict those locations in a city or town where
criminal activities may occur in higher frequency. This is determined by analyzing geographical and location data as well as historical data for that location. This data analytics application has helped police to have a better understanding of those criminal activities in those locations and has also enabled them
to take all necessary protective measures. This has reduced crime rates in those particular areas.
Healthcare
The main problem that hospitals face today is handling the pressure of the high cost incurred when treating patients while maintaining very high standards in quality health care. The use of instrumentation as well as machine data has increased as tools that lead to better tracking and optimization of treatment control the flow of patients and maintain hospital equipment. This increases the working efficiency of hospitals.
Risk Management
The Insurance industry is that industry which places their entire focus on the administration of risk management. Data analytics provides information to a company about data claims, actuarial data and any risks that that company might face. Data analytics is used to detect different types of fraudulent
claims. Red flag indicators detect risky claims, it is important to examine fraudulent claims so that they can be monitored properly and corrected.
Energy Management

Today, data analytics is also used for energy management as seen in the smart management of grids, energy optimization, and proper distribution of energy and developing automation for company use.Data analytics mainly focuses on controlling and monitoring network devices, dispatching crews and
making sure that those services are also properly managed and maintained.
Customer Interaction
Customer interaction is one of the major applications of data analytics and this application mainly revolves around the insurance industry. Data analytics is used to conduct regular and scheduled customer surveys. By conducting these surveys, the company can then learn which services are satisfying the customers and also about those services which need improvement or an upgrade.
Companies can take note of the customers’ demographics and can then improve customer experience depending on their demands or requirements.
Travel
Data analytics is used to record the past experiences and behavior of traveling customers. It analyses those experiences and behavior to then formulate travel packages that will suit a particular traveler. These traveling applications use data analytics to create personalized travel suggestions for the user.
Resource box
Data analytics is a growing field that contains many markets within it. To become a data analyst a person should make sure and access a high quality training course. ExcelR in Bangalore provides the best Data analytics certification course that a student can reely on.