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    Data processing

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    2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a

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    Data Processing

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    240 - INTRODUCTION TO DATA PROCESSING/MANGEMENT OF INFORMATION TECHNOLOGY Objectives To give a thorough and up-to-date grounding in the realities of commercial applications of Information and Communication Technologies (ICT’s). To Examine the roles of data‚ information and knowledge within modern business organisations‚ and the roles that information and communication technologies (ICT’s) play in supporting people and groups within organisations. To provide students with a thorough understanding

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    Data Center

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    Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Key Best Practices Optimize the Central Plant Quick Start Guide to Increase Data Center Energy How To Start A Problem That You Can Fix Data Center energy efficiency is derived from addressing BOTH your hardware equipment AND your infrastructure. Commit to Improved Design and Operations

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    My Data

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    Management in Business-Time value of money-Risk and Return- Risk diversification. Module II Long-term investment decisions – Capital budgeting‚ Different techniques –Traditional and modern methods (DCF method) – Capital Rationing – Risk Analysis in Capital budgeting – An overview of Cost of Capital. Module III Financing decisions – Operating‚ Financial and combined leverage – Capital Structure – Meaning and importance- Theories of capital structure – Net income‚ Net operating income

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    TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics

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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    s= = x-x2n-1 | Q1n+14‚ Q7+14=84=2postion Q3=3(n+1)4=3(7+1)4=244=6‚ IQR Q3-Q1‚ | CV=sx×1003.297×100%=47%/ n = 5 has a mean of 10.2.four data: 9‚ 10‚ 8 17‚ find the missing data value.x=i=1nxin=8+9+10+17+?5=*5=10.2‚ 5×10.2=51 Therefore: 8+9+10+17+?=51Therefore: 8+9+10+17+?=51Simplifying: 44+?=51And so ?=51-44=7Thus the missing data value is 7. | Variance/s2= x-x2n-1‚ [3-72+4-72+7-72+7-72+9-72+12-72]6-1 =545 =10.8 | egA manufacturer of insulation randomly selects 20 winter days

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    VULNERABILITY ANALYSIS OF BANGLADESH DUE TO MULTIPLE NATURAL HAZARDS USING GIS TECHNIQUE Dr. Md. Monirul Islam Professor and Chair Department of Civil Engineering IUBAT – International University of Business Agriculture and Technology 4 Embankment Drive Road Sector 10‚ Uttara Model Town‚ Uttara‚ Dhaka 1230 Tel: 02 896 3523-27‚ 01716 583558‚ Fax: 02 892 2625 E-mail: rs_gism@yahoo.com Abstract: Bangladesh is one of the most natural disaster prone areas in the World. The different types

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    Big Data

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    Chapter 2 Developing a Sustainable Supply Chain Strategy Balkan Cetinkaya Learning Goals. By reading this chapter you will: l l l l l Know the basics of competitive strategy and supply chain strategy and understand their interrelations Understand the need for a sustainable supply chain strategy Understand the ingredients of a sustainable supply chain strategy Apply a generic‚ iterative approach to develop your sustainable supply chain strategy Apply a balanced scorecard to

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    Customer Data

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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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