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Big Data Analytics Tools- A Boon to Enhance Business Operational Performances

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Big Data Analytics has become very popular, as more and more companies are trying to associate themselves with big data application tools. They are essentially software products, which support other analytics applications that are run on big data platforms. The tools are created in an effort to analyze huge data files within a limited time frame. These parallel processing applications usually run on Hadoop or NoSQL database platforms.


Software programmers use big data analytical tools to improve the overall operational competence and incorporate new revenue for the benefit of the company. There are various kinds of analytics applications that one could consider while trying to gain competitive edge over other businesses.



  • Descriptive Analytics- This tool centers on describing something which has previously happened in a bid to find its root causes. Descriptive analytics focuses on reporting, forming queries and visualizing historical data files. This big data tool is one of the prime analytics application tools.

  • Predictive Analytics- This tool helps assess historical data in order to form futuristic patterns and their behaviors. It helps businesses to make good decisions in the line of profits affected by promotional campaigns and equipment or machine failures.

  • Prescriptive Analytics- This tool collects all the results of the prescriptive analytics, so as to provide intellectual suggestions for actions that are to be taken for prescriptive circumstances. Prescriptive analytics is more complex in nature and difficult to grasp.


Big Data Processing for Financial Firms and Scientific Research Companies


This analytic tool application process is very useful for companies within the financial industry. Data processing can be done quickly. Everyday, billions of dollars worth data processing is conducted with the help of big data analytics tools. Financial firms are always under pressure due to increasing demands of the customers for more relevant services and improvement in existing services. Customer data developed by big data analytics for banks and other financial institutions help them to develop customized products and services. Such analytics also aid in debt elimination and improvise on monetary recovery rates.



Many big data analytics development experts incorporate traditional techniques to process the large data and divide them into easier smaller tasks, distributed to varied servers. New concepts are being tried out wherein small data fragments of big data are being processed using a single server. This is done to increase the efficiency and prowess of big data applications.


Other prominent area that uses big data includes the research field for human genome and the natural environment experiments. Processing of the big data applications require an advanced software that is capable of co-ordination in terms of parallel processing on hundreds of servers simultaneously. Thus, big data applications are slowly being used by numerous businesses and financial markets worldwide. 


The many advantages of big data analytics tools:


o   Provide the much needed framework for utilizing data mining procedures to evaluate data, discover different patterns and recommend analytical models.


o   Future actions are based on these historical data analytics to enhance the operational performances.


o   For example, shipping data and historical vendor data can be further analyzed in order to design a smart model to select quality shipping sub contractors from nearby areas.


o   The above efforts can help to minimize the risk of getting damaged goods and late delivery of goods.


In this modern computing world, big data is a compulsory choice for many business organizations to stay up-to-date with the current computing technological advancements. Companies gain a great competitive advantage over their rival business firms effective through big data analysis. The best way to win in big data platform is to process the data in an intelligent and efficient manner that gives fast and accurate results.


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