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What is Big Data Analytics and How it can Do Wonders for Businesses?

In today’s business world where digital technologies are playing an important role, Data has become increasingly popular and important. The Big Data technologies are emerging in order to analyse this large amount of data for gaining insights that can help in making strategic decisions. Concept of Big Data evolved at the beginning of 21st century and all of the technology enterprises are now making use of Big Data technologies. Big Data refers to the vast amount of data sets that may be structured or unstructured. This massive amount of data is produced every day by businesses and customers.

Data analytics is the process of analysing the large data sets to extract insights and patterns or you can also say Big data Analytics is the process of extracting useful information by analysing different types of big data sets. This Data Analytics field is very vast and huge can be used to discover hidden patterns, market trends and consumer preferences, so that the organization can perform better and can take intelligent business decisions.

Businesses and Big Data Analytics

The various tools and techniques for Big Data analytics are rising in demand due to the use of Big Data in businesses. Organizations can find new opportunities and get new insights to run their business efficiently and effectively. These tools help in providing meaningful information for making better business decisions. The organizations can improve their strategies by focusing on the likes, dislikes and behaviour of the customers. Big Data analytics efficiently helps operations to become more effective. This helps companies to generate more revenue and more profit out of their businesses.

Big data analytics tools like Hadoop helps in reducing the cost of storage. This further increases the efficiency of the business. By using latest analytics tools, analysis of data becomes much easier and quicker. This leads to faster and more accurate decision making, saving time and energy.

Top Sectors and Areas Where Big Data Analytics is Highly Beneficial

Although there are lots of benefits of using Big Data is almost all industries but there are some top sectors where use of Big Data Analytics is highly beneficial.

Banking, Finance and Securities

  • Communication and Media
  • Sports
  • Healthcare
  • Education
  • Manufacturing
  • Insurance
  • Consumer Trade
  • Transportation
  • Energy

Ways by Which You Can Grow Your Business with Big Data Analytics

With the arrival of Internet of Things and Artificial Intelligence technology the process of implementation of big data solutions has become simple upto the extent that not only large but even medium to small scale businesses are also benefiting from it. Hence the application and importance of Big Data Technologies are increasing even further as using Big data analytics, businesses can take well informed decisions and improve their operational efficiency in many ways like:

Using Company data to identify the need for improvement in existing procedures and processes.

Using customer data available with the company such as social media streams, internal or external consumer research, credit information, in order to develop or improve new products and services.

Benefits of Big Data Analytics for Your Business

Empowers Management to Take Better Decisions

Big data analytics acts as a well trusted advisor for the business to make strategies and do planning. It helps management and staff in enhancing their analytical abilities and improve their overall decision making skills.

Helps in Identifying Trends to Stay Competitive in the Market

One of the main objective of data analytics is to determine patterns within large data sets. This is useful for identifying new and emerging trends in the market. After identifying, these trends can be used to get a competitive advantage by launching the new and popular products and services at the right time when they are in demand.

Increases the Efficiency and Dedication of staff in Doing Core Tasks

If you and your employees will become aware of the benefits of using Big Data Analytics in your organization, then your employees will become more motivated and efficient in their jobs. As the company goals due to newer insights will be highlighted hence these employees will be able to drive more action towards core tasks hence improving the overall efficiency of your business.

Identifies Opportunities and Cash Them Quickly

Big Data Analytics can constantly look into the areas for improvement in the organizational setup. It can discover inconsistencies in the organizational processes and existing analytics systems and can let data scientists to introduce new ways of doing things.  Ultimately this will drive innovation so that you can launch new products and services and create more avenues for your company’s growth and success.

Helps in Selecting Target Audience

One of the main benefit of Big Data Analytics is that you can analyze customer data to provide more insights into customer preferences and expectations. A more deeper analysis of customer data can help companies in identifying and targeting audience with high precision using customized products and services.


In future we are going to see convergence of so many technologies and trends in the market and big data analytics is going to play a prominent role especially in this especially in automation and the development and implementation of AI technologies. Companies like Google, Apple, Amazon and Microsoft are already using Machine Learning processes for greater precision in delivering their services. As technologies across the world are becoming more synchronous and interoperable therefore big data will become the core which connects them together. Companies will increase their investment in Big Data Analytics to keep up with the evolving trends. Not only private organizations but even the government organizations are becoming highly interested in the applications of Big Data analytics which will ultimately lead to deeper public-private collaboration in a number of areas and fields.

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