Business Analytics Graduate Student Looks Forward to Beginning Career at Amazon

This summer, Sharath Raj ’22 M.S. will join Amazon as a software development engineer, and he’s excited to combine his passions for data and technology.

January 11, 2022

By Renee Chmiel, Office of Marketing and Communications

Image of Sharath Raj ’22 M.S. in New York
Sharath Raj ’22 M.S. in New York.

Sharath Raj ’22 M.S. is interested in data analysis and its ability to impact business. He is also passionate about learning more about business standards and exploring ways to continue to improve them.

Raj, who has a background in technology and a degree in computer science and engineering, recently accepted an offer from Amazon. This summer, he will begin working as a software development engineer, and he will be based in Boston.

“I am excited to work on new things and learn different technologies that will eventually help me drive my business and stand out from the competition,” he said.

A native of India, Raj has

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IIM Amritsar launches data science & business analytics program

IIM Amritsar has launched a Post Graduate Certificate Program in Data Science & Business Analytics (DSBA). The curriculum focuses on the tools and techniques to analyse, formulate, and find solutions to business problems.

The one-year program is designed for graduates with up to 2 years of work experience. The program will be offline for the most part and take place at the IIM Amritsar campus. The course will help students develop an advanced understanding of the fields using in-demand tools and techniques, case studies, and capstone projects.

The program aims to upskill the youth to meet the rising demand for skilled professionals in data science and analytics. 

According to Nagarajan Ramamoorthy, Director of IIM Amritsar, The DSBA program has been designed to prepare students for various data science-related roles.

Fresh graduates can apply for the DSBA program until March 15, 22 and working professionals can apply for the EMBA program

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How Intelligent Businesses Use Business Intelligence

Opinions expressed by Entrepreneur contributors are their own.

In 2010, Coca-Cola had a coup of sorts when they managed massive resource cost savings using business intelligence for their sales data. The brand was struggling with integrating data from 74 unique bottlers’ databases, disparate in their capabilities and analytical tools and spread across the country. The company needed to generate sales reports, plan production output and streamline the supply chain. There was no way they could employ a manual data entry resource to get this varied data from all sources, put it in an excel sheet and compute the data needed for further production planning.  

The strategy? They ensured that these 74 bottling facilities stopped using legacy tools and software and got an integrated BI application to work at every source. 

The result? automated manual reporting processing that saved them over six workweeks a year, proneness to human error that

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BI Tools 2022: Best Business Intelligence Software

Business intelligence (BI) software tools enable companies to analyze events, trends and market changes to gain competitive advantage.

These BI tools collect, manage and interpret mountains of structured and unstructured data. They construct models that deliver answers and insights through reports, charts, graphics and other data representation methods. BI software is the foundation of digital transformation. 

BI systems incorporate or use various data sources, including spreadsheets, querying software, reporting tools, online analytical processing (OLAP), data mining, data warehouses, and data marts. They usually encompass data extraction, data cleansing, data governance and dashboards or other mechanisms that allow users to view reports and visualizations.

The objective is to support business processes across an organization. These can range from past events, such as how a product or service performed, to predicting future events and scenarios. They can span various departments, including finance, human resources and operations. Increasingly, BI platforms

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