INTRODUCTION TO BUSINESS ANALYTICS Sumeet Gupta Associate Professor Indian Institute of Management Raipur Outline • Business Analytics and its Applications • Analytics using Data Mining Techniques • Working with R BUSINESS ANALYTICS AND ITS APPLICATIONS What is Business Analytics? Analytics is the use of: data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about their business
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BUYING AND MERCHANDISING – 27/02/2014 Data warehousing: * Data warehousing is the electronic storage of all info about current customers. * Traditionally this info was used for financial and accounting purposes only. * We now use this info for marketing purposes as well. * Information is primarily gathered via the credit card base of the retailer. * Data warehouses are also used as a single source for the retailer to view key performance indicators (sales, margin, stock, profit
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of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis. It describes the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics is used by companies committed to data-driven decision making. It focuses on developing new insights and understanding of business performance based on data and statistical methods. BA is used to gain insights
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global growth shifts and our own demographic changes), and ongoing challenges in our immediate outlook (such as the high Australian dollar and our relatively high business cost base). Recent drivers of growth are waning, with capital investment by the mining industry due to peak soon and federal and state government investment already past its post-GFC peak. But other potential growth drivers – most notably commercial and residential investment – are yet to show signs of a meaningful pickup. The global
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Business ethics involved in Indian mining The following paper looks at the major problems in Indian Mining industry, the key players involved in the entire system and tries to offer suggestions to improve the efficiency of the process for the better functioning of economy PREFACE Especially when one is dealing with natural resources and public wealth, earning profits shouldn‟t be our goal, earning profits in a right way i.e environmental and society friendly way should be our goal. Any work
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managers with the tools to organize, evaluate and efficiently manage departments within an organization. In order to provide past, present and prediction information, a management information system can include software that helps in decision making, data resources such as databases, the hardware resources of a system, decision support systems, people management and project management applications and any computerized processes that enable the department to run efficiently. The role of the management
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serious about embracing the opportunity of big data.” — Craig Vaughan Global Vice President at SAP “This timely book says out loud what has finally become apparent: in the modern world, Data is Business, and you can no longer think business without thinking data. Read this book and you will understand the Science behind thinking data.” — Ron Bekkerman Chief Data Officer at Carmel Ventures “A great book for business managers who lead or interact with data scientists, who wish to better understand the
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IT FOR BUSINESS GROUP ASSIGNMENT PREPARED BY : Erlinda ( 00000011304) Evelyn Michael (00000011339) CLASS: M6 DATE OF SUBMISSION : 26 March 2015 Bank Mandiri was formed on 2 October 1998, as a part of the Government of Indonesia’s bank restructuring program. In July 1999, four state-owned banks-Bank Bumi Daya, Bank Dagang Negara, Bank Exim and Bapindo-were amalgamated into Bank Mandiri. The history of these four banks can be traced back over 150 years, and together they encapsulate
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Jaguar Mining took its workbooks and consolidated them to fit the business needs. Jaguar Mining was having trouble because even though it was a small company it was trying to manage three separate workbooks, composed of over 100 linked spreadsheets, containing the financial and operational data for the mining and headquarters locations. That was a lot of work for such a minor company. Each sheet represented different functions for each mine and plant, including operating, capital, and cost data, as
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with Starbucks brand and image. When Starbucks first began, there wasn’t much need for business intelligence. Other than attracting customers nearby to the store, Starbucks was small enough where they did not need to worry about things like mining data. However, with the major size of Starbucks now as well as the competitive nature of the industry now, it is more crucial than ever that Starbucks utilize business intelligence resources to the best of their ability. Business intelligence is defined
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