LECTURE 1 DATA TYPES Our interactions (inputs and outputs) of a program are treated in many languages as a stream of bytes. These bytes represent data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data in various way such as adding them up or sorting them. This data comes in different forms. Examples include: your
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COST ANALYSIS OBJECTIVES INTRODUCTION MEANING DEFINITIONS TYPES OF COSTS MONETARY COSTS REAL COSTS OPPORTUNITY COSTS ECONOMIC COSTS ACCOUNTING COSTS INCREMENTAL COSTS SUNK COSTS FUTURE COSTS PRIVATE‚ EXTERNAL AND SOCIAL COSTS FIXED / SUPPLEMENTARY / OVERHEAD COSTS VARIABLE / PRIME COSTS REPLACEMENT COSTS PRODUCTION COSTS SELLING COSTS CONTROLLABLE COSTS DIRECT COSTS INDIRECT COSTS SHORT RUN COSTS CURVES LONG RUN COSTS CURVES OBJECTIVES To understand the meaning of cost. To discuss different types
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Big Data which companies are easily able to collect from their businesses‚ customers and employees. It explains the numerous advantages of using the data collected by companies effectively so that it can be used by the company in improving its efficiencies‚ sales‚ faster and quicker turnaround which in turn would lead to increase revenues and finally increased profits (which is what the stakeholders of the company are looking for).It illustrates the prominent fact that companies that are data-driven
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Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes
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Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular
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What Is A Data Dictionary? Per the IBM Dictionary of Computing‚ a data dictionary is a "centralized repository of information about data such as meaning‚ relationships to other data‚ origin‚ usage‚ and format." Essentially‚ it is documentation or data about data in a file or database‚ also called metadata. Typical Items In A Data Dictionary For each field or column in a database table‚ describe the following elements: Item Contents File/Table Name The name of the file or table where
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Jake Burdick Mrs. Zupan Period 8 12 December 2012 Pros - * “The ideal thing would be that no one gets pregnant unless they’re ready - - that all pregnancies are desired pregnancies‚ but that’s not what happens” – Lindsey Tanner‚ Associated press * “Most abortions occur in the first 12 weeks when the embryo is about the size of a lima bean.” – Lindsey Tanner‚ Associated press * “Hope Clinic patients come from Kentucky‚ where the number of abortions has steadily dropped from almost
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| | | |Assignment : Managing Cost and making financial interpretations for decision | |
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The Cost of Turnover Putting a Price on the Learning Curve by Timothy R. Hinkin and J.BruceTracey Employee turnover does more than reduce service quality and damage employee moraleit hits a hotels pocketbook. E mployee turnover has long been a concern of the hospitality industry‚ and therefore of researchers who examine industry human-resources concerns. One stream of research that arose in the past 20 years was an effort to quantify the cost of employee turnover. Although most managers
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Types of Data Integrity This section describes the rules that can be applied to table columns to enforce different types of data integrity. Null Rule A null rule is a rule defined on a single column that allows or disallows inserts or updates of rows containing a null (the absence of a value) in that column. Unique Column Values A unique value rule defined on a column (or set of columns) allows the insert or update of a row only if it contains a unique value in that column (or set of columns)
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