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The Efficiency And Productivity Of Big Data

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We are being witnesses to the fast development of enterprise computing. New age and new circumstances allow us more choices, but on the other hand, things like Big Data are not something we can be without. Today, this isn’t a choice anymore and many companies have to use Big Data. This is most evident for companies who are closely connected to digital connected.

New technology gives us the opportunity to use data tools to capture, analyze and extract value from huge amount of data. Companies who use these tools certainly gain an advantage over their competitors. There’s one catch though – the data needs to be processed intelligently in order to be of any value. Of course, the data has to be processed quickly and efficiently as well.

Big Data can process data quickly and provide information that could be worth millions of dollars, if not more. Many investment firms use Integritas Solutions’ Big Data Consulting services. because they know it’s going to provide them with a competitive edge.

For example, banks and various financial institutions make use of customer data to develop new products and services. These products and services are custom made, tailored specifically to satisfy the requirements of the large number of customers. An increase in customer satisfaction lead to a better bottom line. On the other hand, analytics improve recovery rates, they eliminate recovery cost and debt.

Companies and payment platforms use Big Data to detect fraudulent activities as well, since sampling techniques allow them to analyze all transactions and assess the risks. Another great benefit of implementing Big Data is the ability to take a look at all IT systems and the Solution Architecture including Installation and Configuration of SAP HANA and Cloudera. Knowing how IT systems behave and perform contributes to better up-times and overall efficiency.

Many financial firms that face an increase in demand for their services and increase in demand for improved services are forced to handle petabytes of data. Acknowledging this situation and realizing how big of asset this amount of data is for the corporation is a great thing. Data integrity becomes a priority then and better consistency in information certainly leads to better efficiency of the entire corporation. Therefore, implementing Big Data is a must.

Big Data developments use traditional techniques for processing huge amounts of data. A good thing to do is to divide huge amounts of data into smaller tasks so that they can be distributed and taken care of on different servers.

More often than not, big data is combined with other applications such as Customer Relationship Management for Enterprise Resource Planning. Once big data technologies are implemented, it becomes easier to understand the customers, competitors, products and services. Implementing big data is a must as it is required to capture, mine and process huge amounts of data properly in order to make use of it. Properly processed and analyzed data leads to business improvement, increased sales, better customer experience, defined products and services and lower costs.