Lab – Data Analysis and Data Modeling in Visio Overview In this lab‚ we will learn to draw with Microsoft Visio the ERD’s we created in class. Learning Objectives Upon completion of this learning unit you should be able to: ▪ Understand the concept of data modeling ▪ Develop business rules ▪ Develop and apply good data naming conventions ▪ Construct simple data models using Entity Relationship Diagrams (ERDs) ▪ Develop entity relationships and define
Premium Entity-relationship model
“Risk Management in Banks: The AHP way” By: Diksha Arora PG Candidate‚ Class of PGDM-2010 BIMTECH‚ India Abstract Risk is inherent in every walk of life. Banks are‚ by definition‚ in the business of taking and managing risk. The paper deals with the study of Risks associated with commercial banks like risk revolving on capital‚ credit risk‚ market risk‚ liquidity risk‚ earnings risk‚ business strategy risk‚ environmental risk‚ operational risk‚ group risk‚ internal control risk‚ organizational
Premium Risk management
an era of big data‚ this data-driven world has the potential to improve the efficiencies of enterprises and improve the quality of our lives; however‚ there are a number of challenges that must be addressed to allow us to exploit the full potential of big data. This paper focuses on challenges faced by online retailers when making use of big data. With the provided examples of online retailers Amazon and eBay‚ this paper addressed the key challenges of big data analytics including data capture and
Premium Electronic commerce Online shopping Retailing
VIVA- VOCE | | CC09 -FINANCIAL MANAGEMENT Module I Financial Management - Scope - Role of Financial 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
Premium Management Marketing
Study PAY AND REWARD SYSTEM IN PUBLIC ORGANIZATIONS SUBMITTED BY Lt Col Abid Samih Aslam Student of MS- BA Roll NO Jan 10- 025 SUPERVISOR: Dr Irfan Zafar National University of Modern Languages Islamabad ABSTRACT This article is focused on the under standing of difference of pay and reward system in public and private sector. Few organizations of public and private sector have been analyzed . Article covers These aspects:- ➢ Need of better pay and reward system for the progress
Premium Public sector Management Reward system
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
Premium Data Online shopping Data management
DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
Premium Data mining Data analysis
University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.
Premium Data mining Data analysis Data
PAYMENT SYSTEM Rewards strongly influence employee performance levels. Employees at all levels compare their efforts and rewards relative to those of other employees. A perceived equity of these comparisons leads to experienced levels of job satisfaction and motivation. The expectancy theory of motivation makes it clear that if employees perceive a weak connection between performance and reward‚ then the rewards will not function as motivators. (Dailey‚ 2005:4/14) Group-Based Reward Systems According
Premium Motivation Management Organizational studies
having too much data‚ and what to do about them There is rarely an instance of business that you can encounter that does not involve the processing of data on information systems these days. Businesses and organizations use information systems in a majority of their functions‚ and as a result‚ are creating mass amounts of data. Because data is so crucial to business operations‚ it is being gathered‚ stored‚ and utilized in exponential amounts compared to the previous decade. These data stores can
Premium Cloud computing