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Data Analytics

Keeping a track of your journey is an inevitable step when looking for growth. Our team consists of highly skilled professionals to help you get the right analytics model for your business. We can help analyze your data and serve you with the desired models like Customer Analytics, Revenue Analysis, etc.

What is Data Analytics ?

Data Analytics is a wide field. There are 4 major types of Data analytics including, descriptive, diagnostic, predictive, and prescriptive analytics. Every type has a different goal and a different place in the data analysis process. These also have primary data analytics applications in business. 

  • Descriptive analytics: Answers questions about what happened. 
  • Diagnostic analytics: Answers questions about why things happened. 
  • Predictive analytics: Answers questions about what will happen in the future. 
  • Prescriptive analytics: Answers questions about what should be done.

Data is an indispensable asset for a business today. Organizations today immensely rely on data analytics to reach the right decision,

minimize risk and maximize profit. This is the primary reason why an increasing number of organizations are turning to data analytics companies.

Major benefits of data analytics services are that:
  • Future business decisions can be optimized by predictive analytics that implements efficient data models. 
  • The future outcome of the decisions can be forecasted by the right data analytics. 
  • Descriptive analytics can assist you in reviewing past events and helping to reach the right future decisions.

Examples of Data Analytics in the daily life:

Entertainment, Communications and the Media

Spotify, an on-demand music service that uses Hadoop Big Data analytics to collect data from its millions of users around the world. This collected data is used to give customized music recommendations to each user. These services hugely depend on big data to provide customized content offerings to their users. This is a vital move in the growing competitive market.


Education sector generates enormous data through learning methodologies and courseware. Crucial insights can recognize better teaching strategies, highlight areas where students are not learning in a productive and well-organized manner and alter the method in which education is delivered effectively. Nowadays there is a surge of putting data into use for everything from improving classroom cleanliness and planning school bus routes.


Big data analytics have an enormous contribution to the transportation industry. The governing bodies implement big data to control traffic, congestion management, optimize route planning, and intelligent transport systems. The private sector makes use of big data in technological enhancements, revenue management, logistics and to gain a competitive edge. This adoption of big data has improved the user experience.

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