integration of the people, process, and technology in the business. CRM (customer relationship management) analytics comprises all programming that analyzes data about an enterprise's customers and presents it so that better and quicker business decisions can be made. CRM analytics can be considered a form of online analytical processing (OLAP) and may employ data mining. Benefits of CRM analytics are said to lead not only to better and more productive customer relations in terms of sales and service
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REVOLUTION ANALYTICS WHITE PAPER Advanced ‘Big Data’ Analytics with R and Hadoop 'Big Data' Analytics as a Competitive Advantage Big Analytics delivers competitive advantage in two ways compared to the traditional analytical model. First, Big Analytics describes the efficient use of a simple model applied to volumes of data that would be too large for the traditional analytical environment. Research suggests that a simple algorithm with a large volume of data is more accurate than a sophisticated
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Dhenuvukonda (FT12416) (FT12417) (FT12455) (FT12462) (FT12467) Great Lakes Institute of Management, Chennai 1 Index Page 1.0 2.0 Introduction Various Technologies at Maruti Suzuki Level of CRM 3.0 Analytical CRM 3.1 3.2. 3.3 3.4 4.0 Data base Direct marketing-Data analysis Cross-selling of various value added services 5 5 6 6 3 4 Customer Retention for Service at dealers, satisfaction, thereby, sales retention for the future 7 8 10 10 10 Operational CRM 4.1 4.2 4.3 4.4 Campaign management
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Dhenuvukonda (FT12416) (FT12417) (FT12455) (FT12462) (FT12467) Great Lakes Institute of Management, Chennai 1 Index Page 1.0 2.0 Introduction Various Technologies at Maruti Suzuki Level of CRM 3.0 Analytical CRM 3.1 3.2. 3.3 3.4 4.0 Data base Direct marketing-Data analysis Cross-selling of various value added services 5 5 6 6 3 4 Customer Retention for Service at dealers, satisfaction, thereby, sales retention for the future 7 8 10 10 10 Operational CRM 4.1 4.2 4.3 4.4 Campaign management
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Note: Answer any 4 Case Studies CASE 1: GE, Dell, Intel, and Others: The competitive Advantage of Information Technology CASE 2: Celanse Chemicals and Others: Wireless Business Applications CASE 3: Wal-Mart, Bank Financial, and HP: The Business Value of AI CASE 4: The Rowe Cos. and Merrill Lynch: The ROI Process in Business/IT Planning CASE 5: F-Secure, Microsoft, GM, and Verizon: The Business Challenge of Computer Viruses CASE – 1 GE, Dell, Intel, and Others: The competitive Advantage
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Gartner's 2012 Hype Cycle for Emerging Technologies Identifies "Tipping Point" Technologies That Will Unlock Long-Awaited Technology Scenarios 2012 Hype Cycle Special Report Evaluates the Maturity of More Than 1,900 Technologies Big data, 3D printing, activity streams, Internet TV, Near Field Communication (NFC) payment, cloud computing and media tablets are some of the fastest-moving technologies identified in Gartner Inc.'s 2012 Hype Cycle for Emerging Technologies. Gartner analysts said that these
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CSCI 1507 (1903) "Enterprise level data work flows and Data Warehousing" Professor Rajni Palikhey University of Northern Virginia Acknowledgement This Research Paper would not have been possible without the guidance and the help of my co-students and respected Professor who in one way or the other contributed and extended their valuable assistance in the preparation and completion of this research paper. I would to like to convey my sense of gratitude to Professor
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FILE ORGANIZATION TERMS AND CONCEPTS THE DATA HIERARCHY A computer system organizes data in a hierarchy that starts with bits and bytes and progresses to fields, records, files, and databases * A bit represents the smallest unit of data a computer can handle * A group of bits, called a byte, represents a single character, which can be a letter, a number, or another symbol (A,2?,S) * A grouping of characters into a word, a group of words, or a complete number (such as a person’s
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But in most of the situation like in retail where Fifty-Three percent (53%) of large retailers indicate that customer analysis is difficult due to enormity of data from different channels. Retailers have more data than they are capable of processing. More often than not retailers blame disparate sources and enormity of customer data as the primary reason for lack of adequate consumer insights that inhibits new customer acquisition, customer retention and reactivation.
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Networks Volvo utilized data mining in an effort to discover the unknown valuable relationships in the data collected and to assist in making early predictive information. It created a network of sensors and CPUs that were embedded throughout the cars and from which data was captured. Data was also captured from customer relationship systems (CRM), dealership systems, product development and design systems and from the production floors in their factories. The terabytes of data collected was streamed
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