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BEST 5 TOOLS USED FOR BUSINESS ANALYTICS IN INDIA

INTRODUCTION Business Analytics refers to studying of data of an organization and using all the obtained information to make decisions pertaining to the organization. Statistical analysis of the data plays a major role in the process of business analytics. Data can help the organization to come up with optimized plans in future and is also treated as a major asset for every company. Efficient business analysts help organizations to derive maximum conclusions from this data and help companies in their path of data-driven decision making. TOOLS USED FOR BUSINESS ANALYTICS There are several tools that organizations have been using for the process of business analytics and ultimately come up with more profound and optimum decisions pertaining to their company. The most commonly used tools for Business analytics in India are: ·          EXCEL It is one of the most widely used business analytics tool and almost every company uses it. It is basically a spreadsheet
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Data Analytics - The Next Big Career Option for Engineers

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  In today’s cut-throat competition, it is increasingly becoming important for organizations to continuously up their business performance, stay abreast of the latest industry happenings, respond quickly to emerging market trends and innovate ways to enhance their productivity if they want to sustain themselves and remain profitable in the competitive business world. One of the leading ways for organizations to stay ahead of the curve is to harness seemingly unfathomable Big Data in order to uncover hidden trends, patterns and correlations that can be used to draw logical conclusions which, in turn, can enable companies to make informed business decisions and help them improve and optimize their revenues, operational efficiency, regulatory compliance, marketing strategies and customer service initiatives. What is Data Analytics? Also known as Data Analysis, Data Analytics is a vast domain that focuses on the transformation of humongous data sets into meaningful informa
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Important Skills You Must Acquire to Become a Data Scientist

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In the highly competitive market of today, enterprises have to constantly experiment with unconventional and offbeat ideas in order to innovate offerings that meet the rapidly changing demands of the modern day consumer. One of the ways to remain current with the dynamic market trends and requirements is to be on top of consumer behaviour and buying patterns. This is where the role of a Data Scientist comes into play. Need for a Data Scientist A Data Scientist uses various types of statistical tools and complex predictive models to gather and analyse information and derive meaningful and actionable insights from Big Data. The resulting intelligence is used by the enterprises to customise their existing products and services and bring to the market novel offerings that are in line with customer expectations. This proactive approach is crucial for organizations if they wish to remain competitive in their chosen space with an enviable track record of repeat customers an
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Why Business Analytics is the Future of Every Industry?

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Making good business and increasing revenue is the sole motive behind establishing an industry. If a particular sector or industry gets no profit, it automatically shuts down. On the other end, when any particular product or service identifies a lucrative market, it plunges in lot of investment, grows, expands and forms a business circle within its capacity. Now, comes an important question- What are the factors that influence such perceptions amongst the key industry people? In other words, how do industrialists assess the sectors and track its performance in the present market condition? Well, there has to be some metrics that inform people that hey, this sector is working and that should be closed down and there’s an emerging opportunity which can be made into a profitable industry. So, what are these so called “metrics”? It is the Business Analytics. From the start to the saturation levels and to the way-forwards, the Business Analytics or Business Intelligence data gu
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