...Introduction Sprint has nearly 54 million customers and offers a host of products for consumers, businesses and government. The company recently began using analytics tools to try to make sense of the mountains of data created by Sprint network users on a daily basis. With approximately 70,000 employees worldwide and nearly $27 billion in annual revenues, Sprint is widely recognized for developing, engineering and deploying state-of-the-art network technologies, including the United States' first nationwide all-digital, fiber-optic network and an award-winning Tier 1 Internet backbone. Sprint provides local voice and data services in 18 states and operates the largest 100-percent digital, nationwide wireless network in the United States. The decision to focus our project on Sprint was based on a couple of factors. Sprint is currently the 3rd largest telecom operator in USA and with the recent take over by SoftBank the prospects to grow look promising. This provides a clear opportunity to help the business grow using analytics. Secondly because of our connections in the company we were able to get more information on Sprint’s analytics strategy and future plans. Recommendations Sprint Telecom is part of an industry, which is one of the largest providers of data in the world. Sprint’s initial big data steps have been in the right direction. They have successfully used their current data sets for quick profits and short-term results. It is now time to take the jump...
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...Magic’s ability to put “butts in seats” is further challenged by the fact that they compete with Walt Disney and other vacation attractions and resorts for attendance. The leagues policy of revenue sharing helps these small market teams stay in business, but they are challenged to be autonomous and profitable. Their profitability helps to expand the pool of available dollars to compensate the owners, players, and management. Like everything in life, if you are able to control your own destiny you can call your own shots. This is the motivation behind the team’s efforts to achieve autonomy and profitability to help them control their own destiny. The Approach The Orlando Magic made a decision to use business analytics to help them drive profitability and autonomy. Anthony Perez, Director of Business Strategy put in place a business analytics team that spent two years honing their skills on the business side of basketball. When the Magic's business analytics team got started in 2010, they grossly miscalculated the time it would take to prepare the data. "We didn't set the right expectations. All of us were thinking that it would be easier than it was," Perez said. Pulling together data from Ticketmaster, concession vendors and other business partners into a data warehouse took much longer...
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...1.0 Introduction Business analytics (BA) is the practice 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 that inform business decisions and can be used to automate and optimize business processes. Business analytics makes extensive use of statistical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business and an organizational commitment to data-driven decision making. Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis. Data acquisition often involves extraction from one or more business systems, cleansing, and integration...
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... Mam Jyr BSIT-303I Here is a list of 10 most popular analytic tools used in the business world. Commercial software MS Excel: Almost every business user has access to MS Office suite and Excel. Excel is an excellent reporting and dash boarding tool. For most business projects, even if you run the heavy statistical analysis on different software but you will still end up using Excel for the reporting and presentation of results. SAS: SAS is the 5000 pound gorilla of the analytics world and claims to be the largest independent vendor in the business intelligence market. It is the most commonly used software in the Indian analytics market despite its monopolistic pricing. SAS software has wide ranging capabilities from data management to advanced analytics. SPSS Modeler (Clementine): SPSS Modeler is a data mining software tool by SPSS Inc., an IBM company. It was originally named SPSS Clementine. This tool has an intuitive GUI and its point-and-click modelling capabilities are very comprehensive. Salford systems: provides a host of predictive analytics and data mining tools for businesses. The company specialises in classification and regression tree algorithms. Its MARS algorithm was originally developed by world-renowned Stanford statistician and physicist, Jerome Friedman. The software is easy to use and learn. KXEN: is one of the few companies that is driving automated analytics. Their products, largely based on algorithms developed by the Russian mathematician...
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...Assignment 1: DDS, BI, Business Analytics, and Predictive Analytics LaShonda Spell Prof. S. Mirajkar CIS 356 Operating a successful business today involves utilizing the correct tools to make the best decisions for that business. The main tools that are used for making critical business decisions are DSS, DDS, BI, Business Analytics and Predictive Analytics systems. The concepts/ systems mentioned assist management in the major decision-making processes by providing crucial operational data in comprehensible formats for monitoring/ reviewing and analyzing. Making the best decisions regarding business operations determine the success or failure of the company and ensures that all business strategies are implemented and effective. In this essay, there is a brief overview of the similarities/ differences, methodologies/ technologies and evaluation of the capabilities of DDS, BI, Business Analytics and Predictive Analytics systems. Similarities and Differences among DDS, BI, Business Analytics, and Predictive Analytics regarding business scope/origins /histories/ methodologies/ technologies DDS (Data Distribution Service) are data communications based on the standards managed by the OMG (Object Management Group). The standards set by the OMG of DDS describe different latency levels of data communications for distributed applications (Twin Oaks Computing, Inc., 2011). DDS standard support data defining applications, dynamic publishing/ subscribing discovery and QoS policy...
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...IBM Global Center for Smarter Analytics Fundamentals of Business Analytics Case Study IBM Global Center for Smarter Analytics ________________________________________________________________________________ Licensed Materials - Property of IBM © Copyright IBM Corporation 2013 Published May 2013 IBM, the IBM logo and ibm.com are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. This case study set contains proprietary information which is protected by copyright. No part of this document may be modified without a legal license agreement from IBM Corporation. Any references in this information to non-IBM Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this IBM product and use of those Web sites is at your own risk. 2 IBM Global Center for Smarter Analytics Case Analysis 1: Cincinnati Zoo Business Objectives • • • IBM Global Center for Smarter Analytics Company Company Background The Cincinnati Zoo & Botanical Garden is one of the most popular attractions and a Top Zoo for Children according to Parent’s Magazine. Each year, more than 1.3 million people visit its 71-acre site, which is home to more than 500 animal and 3,000 plant species. Although the Zoo is a non-profit organization...
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...Esri Location Analytics for Business Intelligence ® An Esri® White Paper October 2012 Copyright © 2012 Esri All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive property of Esri. This work is protected under United States copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any information storage or retrieval system, except as expressly permitted in writing by Esri. All requests should be sent to Attention: Contracts and Legal Services Manager, Esri, 380 New York Street, Redlands, CA 92373-8100 USA. The information contained in this document is subject to change without notice. Esri, the Esri globe logo, esri.com, and @esri.com are trademarks, service marks, or registered marks of Esri in the United States, the European Community, or certain other jurisdictions. Other companies and products or services mentioned herein may be trademarks, service marks, or registered marks of their respective mark owners. J10116 Esri Location Analytics for Business Intelligence An Esri White Paper Contents Page Executive Overview.............................................................................. 1 Proven Value of Business Intelligence ................................................. 1 GIS and BI: The Timing Is Right .....................
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...Business Analytics Implementation Plan André L. Brown Argosy University Table of Contents Introduction3 Implementation Plan4 Management Information Systems10 Conclusion15 References16 Introduction This proposal will outline the case for using business analytics within the Art Institute and the positive outcomes that it can provide based upon its use. It will present the reason why Management Information Systems are important and how the data from these systems can help drive positive business outcomes. The proposal will provide you with reasons as to why analytics should be used and how they will help support growth and stability within the company. It will also provide you with some drawbacks and challenges that might be faced with using analytics, but will also look at ways that those issues can be avoided if the processes is implemented and used properly. This proposal will provide you with sound reasoning as to the benefits that business analytics can provide for the company and how it will help it to grow into the future. It will also review techniques and tools that are used for the gathering and processing of data. How this data can be used to the benefit of the organization providing it with information that will help the business with long-term positive outcomes. Implementation Plan The Art Institutes is a system of schools that provides educational services to students in several areas including fashion, photography, culinary,...
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...Business intelligence (BI) and Business Analytics (BA) Business intelligence (BI) is the transformation of raw data into meaningful and useful information for business analysis purposes. BI can handle enormous amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. BI allows for the easy interpretation of volumes of data. Identifying new opportunities and implementing an effective strategy can provide a competitive market advantage and long-term stability. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. Business analytics (BA) refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods. Business analytics makes extensive use of data, statistical...
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...Dave Stewart & Adam Pastor Mrs. Richards-Mealy Business Information Systems 20 September 2013 Video Case Study Chapter 10 Case 2 IBM AND COGNOS: BUSINESS INTELLIGENCE AND ANALYTICS 1. How does improving decision making add value for a business? Making the right decisions, at the right time, is essential to proper management. Having the right tools and all information from not only internal sources but external as well, the analytics, and reports enables management to make informed decisions which lead to cost reduction, increased efficiency, increased profits and organizational growth. Additionally, value may be added in the employees’ morale by good decisions made by company management, such as flexible scheduling options or the ability to work form home. 2. Explain why it might be useful to have detailed Web site metrics like those IBM provides. Web site metrics such as IBM’s NAB 2008 website with core metrics and video metric enables tracking a consumer’s movement such as what web page they are coming from and the pages they are landing on, the type of content they are view and how long they view that content. These metrics allow a company to develop a consumer profile which aids in their marketing strategy, such as in targeting. A program like this allows a company to see customer behavior and to make business decisions based on the data. Utilizing the information gained from metrics, a company’s CRM system, billing systems, and other sources then give the company...
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...Business Analytics- * Exploring data to find new patterns and relationships (data mining) * Explaining why a certain result occurred (statistical analysis, quantitative analysis) * Experimenting to test previous decisions (A/B testing, multivariate testing) * Forecasting future results (predictive modeling, predictive analytics) Answers the Important Questions Such As: -Why did it happen? Will it happen again? What will happen if we change x? What else does the data tell us that never thought to ask? By Using: Statistical/Quantitative Analysis Data Mining Predictive Modeling Multivariate Testing Microsoft Excell- Microsoft Excel is a spreadsheet application . It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications. It has been a very widely applied spreadsheet for these platforms, SAS- SAS is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics. It is the largest market-share holder for advanced analytics. SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. It is widely used in insurance, public health, scientific research, finance, human resources, IT, utilities, and retail, and is used for operations research, project management, quality improvement, forecasting and decision-making. JMP Pro- JMP is used...
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...this case under the supervision of Professor Mary Crossan solely to provide material for class discussion. The authors do not intend to illustrate either effective or ineffective handling of a managerial situation. The authors may have disguised certain names and other identifying information to protect confidentiality. Ivey Management Services prohibits any form of reproduction, storage or transmittal without its written permission. Reproduction of this material is not covered under authorization by any reproduction rights organization. Ivey School of Business, The University of Western Ontario, London, Ontario, Canada, N6A 3K7; phone (519) 661-3208; fax (519) 661-3882; e-mail cases@ivey.uwo.ca. Copyright © 1997, Ivey Management Services Version: (A) 2009-09-09 Mr. Howard Schultz, the Chairman and CEO of Starbucks Corporation, had just given a speech on the future of the coffee industry at a well-known business school. As he left the lecture hall, he stopped at the University’s most popular coffee shop, the Brewery. The shop’s sign indicated that it was “Now Serving Starbucks Coffee.” As Mr. Schultz ordered the House Blend, he noticed that the Brewery was a far cry from any Starbucks coffeehouse. The shop was messy, the service was poor, and the coffee was average. As Mr. Schultz was leaving the Brewery, Orin Smith, Starbucks President and COO, called him on his cellular phone. McDonald’s, whom Starbucks had turned down a number of times, was once again petitioning...
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...Business Analytics using Secured Cloud Storage System M Swetha Chandra1, M Suma Latha2, KODAVATIKANTI S M Aditya Kumar3, S K R Swamy4 1,2,3,4 Department of CSE, TRR College of Engineering, Inole, Patancheru, Hyderabad, AP, India 1 sweet.smily99@gmail.com 2 msumalathacse@gmail.com 3 smaditya@gmail.com 4 kramas2004@yahoo.com | | | ABSTRACT Business analytics go far beyond reports, dashboards, and scorecards. Analytic impact occurs after the numbers are delivered, and analytic value is driven by the kinds of questions that are answered. Ordinary analytics tell you what has already happened. Good analytics provide insight into why things happen, and great analytics provide foresight to see what lies ahead. Today’s business climate demands extraordinary analytics. Business managers need to know more than what. The hard questions today are why, what if, and what next. According to Gartner, BI and Analytics is a $12.2 billion market with 16.4% growth in 2011. Gartner's 2012 CIO survey showed that analytics/BI is the No. 1 technology priority for CIOs. The mega vendors such as Oracle, SAS, IBM etc., are already having major portion of the revenue with their packaged applications in these areas. It is estimated by Gartner that Analytics will be touching 75% of potential users by 2020. This is proven by the growth rate of new vendors such as QlickTech and Tableau by 45% (as per Gartner report). Cloud Storage: Cloud Storage, also referred as Data Storage as a Service, is...
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...To understand the most important characteristics of a society, one must study its major cities. Disagree Is it really possible to study main characteristics of a society without study of the cities that are part of that? Sociologist have a wide variety of technics that help them to find main features of a society such as study major cities, study works of literature and study monuments. There can be no doubt that study major cities of a society can make a significant help to understand that society. In my view, study major cities is not necessary for discover important characters of a society. First and foremost reason why study major cites does not make help is that a territories if a society my be spread among many countries and sometimes many continents. For instance, Western society is spread between North America and Europe therefore study a city such as New York City and Paris not help us but also distract sociologist. For example in New York City people always in hurry and usually eat fast foods on the other hand in Paris people pay more attention to their mealtime so eat their food in peace and some times take more than an hour to eat their main course. Thus who only studies these two cities cannot understand whether people in Western society have their meal in a hurry or peace. A second instance in which study a major city is not necessary is that it takes long time for a society to form, so study a city only shows the contemporary situation of that city. For...
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...Trends and Implementation Strategies for Business Intelligence and Analytics A rapidly emerging trend across almost every industry and organization is the increased utilization of data. From process automation to on-demand agile reporting to robust business intelligence and analytics (BI&A), data remains the future of business. Because of this trend, BI&A has become an industry in its own right. Software companies of all sizes are developing tools that are changing the future of business archetypes. According to Gartner, Inc., “By 2020, information will be used to reinvent, digitalize or eliminate 80% of business processes and products from a decade earlier” (Forbes 2015). As BI&A continues to quickly grow, there are multiple trends, techniques, platforms and expanding technologies that impact how organizations might tackle the development of a universal BI&A platform. The current “hot” trend, increasingly on the rise is self-service analytics, which opens the use of data to more people in a real-time way. Rado Kotorov, a Chief Innovation Officer at Information Builders predicts that for 2016: “…Self-service analytics will evolve beyond just self-service for analysts. There will be self-service information for the masses delivered not through tools but through purpose-built interfaces and apps. Just as the ATM in banking evolved from a cash-dispensing machine to a full transaction and account management terminal, so too will self-service mature and spread...
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