Describe the human resource manager’s role from the human resource manager’s viewpoint. The role of human resource professional in a corporation is essential. Human Resource managers contribute not only to business viability‚ but also the strategic planning and continued growth of personnel within the corporation (Huey‚ 1993). Moreover‚ Human Resource management oversees the business of managing people within an organization that included‚ but not limited to compensation‚ benefits‚
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco. Introduction to Big Data In 2012‚ the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created‚ and the number is doubling every 40 months (Brynjolfsson & McAfee‚ 2012). According to a recent research from IBM (2012)‚ 90 percent of the data in the world has been
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enhance my expertise in ‘Software Development’ and hone other relevant skills as well. My dream is to have hands-on experience in as many technical projects as I can post which I become well adept at the skill I have chosen to work upon.” Interviewee 2 is more realistic. He is NOT INTERESTED in fancy designations and pay packages but he intends to master the skill that he possesses. Further‚ he wishes to develop other related skills as well. If the interviewer is looking for a sincere and hard working
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SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables: Variables which differ in kind rather than degree • Measured on: 1) Nominal scale indicates categorizing into groups groups or classes. Eg. Gender‚ religion‚ race‚ colour‚ occupation‚ etc 2) Ordinal
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Komal Taneja Megha Parashar Tanushree Gupta INDEX INDUSTRY PROFILE {text:list-item} ORGANIZATIONAL STRUCTURE {text:list-item} {text:list-item} {text:list-item} {text:list-item} MAJOR PROJECTS HR FUNCTIONS {text:list-item} {text:list-item} *ACKNOWLEDG*EMENT We are indebted to Dr. Ravikiran Dwivedula for his expert and unstinting guidance throughout the making of this project. It was his patience and advice that enabled us to
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you an understanding of how data resources are managed in information systems by analyzing the managerial implications of basic concept and applications of database management. Introduce the concept of data resource management and stresses the advantages of the database management approach. It also stresses the role of database management system software and the database administration function. Finally‚ it outlines several major managerial considerations of data resource management.
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Encoding methods and Modulation schemes 25.P.1 Computers use digital signalling‚ digitals signals are represented by the base 2 numbering system “Binary”. Binary bits are shown as 1 or 0‚ where 1 means ON and 0 means OFF. In a network where digital devices exist‚ digital signalling will be used. Dependant upon the encoding method used‚ a high voltage on a communications medium can represent a logical 1 and a low voltage of can represent a logical 0. Different methods of encoding exist these
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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HR PRACTICES IN GOOGLE 1. Building innovation into job descriptions: ’20 percent time ’ Technical employees are required to spend 80% of their time on the core search and advertising businesses‚ and 20% on technical projects of their own choosing." "Employees ’ work structure follows a ’70/20/10 ’ model‚ 2. Eliminating friction at every turn: ensuring change can happen quickly and efficiently Google’s approach to innovation is highly improvisational. Any engineer in the company has a
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