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Why Business Analytics is a Must for Enterprises?

Enterprise Technology Review | Tuesday, June 30, 2020

Business analytics is a potent tool in the present-day marketplace. Across industries, firms generate vast amounts of data, which has heightened the need for professionals who know how to interpret and analyze it.

FREMONT, CA: Business analytics uses quantitative methods to derive meaning from data to make alarmed about business decisions. There are three principal methods of business analysis. They are Descriptive, the interpretation of historical data to identify trends and patterns, Predictive, the use of statistics to forecast future outcomes, and Prescriptive, the application of testing and other techniques to determine which outcome will yield the best result in a given scenario. Below given are some of the few benefits of using business analytics to understand better how data insights can drive organizational performance. Top 10 Surveying Consulting/Services Companies - 2020


Organizations that embrace data and analytics initiatives can experience significant financial returns. A recent study by the BARC mentioned that businesses could quantify their benefits from analyzing data reports, an average eight percent improvement in revenues, and a ten percent reduction in the costs. Many firms can stand to benefit from the big data and analytics market continues to grow.

Operational Efficiency

Beyond the financial gains, analytics can be used to fine-tune business operations. Lately, a report presented by the KPMG on emerging trends in infrastructure found that many firms are now using predictive analytics to anticipate maintenance and operational issues before they become more significant problems. A mobile network operator surveyed mentioned that it makes use of the data to foresee the outages seven days seven before they occur. Armed with this data, the firm can prevent interruptions by more effectively timing maintenance, enabling it to save on operational costs and ensure that it keeps assets at optimal performance levels.

Taking a data-driven approach to the business can come with a tremendous upside, but with many companies report that the number of skilled employees in analytics roles is short. Through learning how to recognize trends, test hypotheses, and draw conclusions from population samples, you can build an analytical framework that can be applied in your everyday decision-making and help your organization thrive.

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