LOVELY PROFESSIONAL UNIVERSITY CUSTOMER RELATIONSHIP MANAGEMENT- MGT 633 HYUNDAI COMPANY-AUTOMOBILE INDUSTRY Submitted By: puspendra singh mobile no 09023286232 Rg. No.10903337 R1807B56 MBA 4rd Sem. Submitted To: Miss savita mam Lect. of CRM LSB. Hyundai Motor Company Hyundai Motor Company (KRX: 005380)‚ a division of the Hyundai Kia Automotive Group‚ is the world’s largest automaker by profit‚ the world’s fourth largest automaker
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exceedingly compelling and exhaustive provision security audit. Module 11 Final Exam 1. The model that I would use for testing a new mobile app for an IPhone has been outline below. (Kumar‚ 2013) Test capabilities would include: Functional Testing Data Integrity Usability Similarity with diverse adaptations of OS UI Response if there should arise an occurrence of distinctive lighting conditions (Like daylight‚ lower light and so on) Requisition Settings reaction (testing inclination) Accident Points
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Introduction Data communications (Datacom) is the engineering discipline concerned with communication between the computers. It is defined as a subset of telecommunication involving the transmission of data to and from computers and components of computer systems. More specifically data communication is transmitted via mediums such as wires‚ coaxial cables‚ fiber optics‚ or radiated electromagnetic waves such as broadcast radio‚ infrared light‚ microwaves‚ and satellites. Data Communications =
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1 Thomas H. Davenport‚ Paul Barth and Randy Bean How ‘Big Data’ Is Different Please note that gray areas reflect artwork that has been intentionally removed. The substantive content of the article appears as originally published. REPRINT NUMBER 54104 W I N N I N G W I T H D AT A : E S S AY How ‘Big Data’ Is Different These days‚ lots of people in business are talking about “big data.” But how do the potential insights from big data differ from what managers generate from traditional analytics
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action‚ mainly due to difficulties relating to data collection‚ identification of activities and lack of resources. The most common technique used for the identification of activities and the selection of cost drivers is by interviewing the heads of departments. Other methods include labour reporting systems‚ work order systems‚ employee surveys‚ observations‚ timekeeping systems and storyboards (Kaplan and Cooper‚ 1998). Velcu (2002) argued that some data‚ like cost driver information can be more
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Data Analysis‚ Presentation & Interpretation Prof. Dr. Md. Nazrul Islam Ph.D 1 Data Analysis Plan The appropriate methods of data analysis are determined by your data types and variables of interest‚ the actual distribution of the variables‚ and the number of cases. 2 Data Management 3 Why prepare a plan for processing and analysis of data? All information has been collected in a standardized way Not collected unnecessary data which will never be analyzed A statistical analysis plan should
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PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material
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DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer
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market like motorcycle insurance and non-standard drivers. Prominent and advanced method which Progressive used to segment customers through data mining and analyzing their behavior presents a healthy ground for the implementation of the Autograph project. Autograph would bring a lot of benefits to the company. New technology would provide us with more data about customer behavior‚ which we could use to better segment our customer body and thus create value for the customers and for the company.
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and Kimball’s definition of Data Warehousing. Bill Inmon advocates a top-down development approach that adapts traditional relational database tools to the development needs of an enterprise wide data warehouse. From this enterprise wide data store‚ individual departmental databases are developed to serve most decision support needs. Ralph Kimball‚ on the other hand‚ suggests a bottom-up approach that uses dimensional modeling‚ a data modeling approach unique to data warehousing. Rather than building
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