report title“ A Comparative Study between Conventional and Islamic Banking with reference to General Banking Operations of Islamic Banking System: A Case Study on AB Bank Ltd (Islami Banking Branch) ” is based on the study done in the internship period in AB Bank Ltd‚ Islamic Banking Branch. It contains a concrete idea about the General Banking Operations from Islamic General Banking perspective with a comparative picture of between Islamic and Conventional Banking which topic is assigned by my supervisor
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A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report
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DATA | INFORMATION | 123424331911 | Your winning lottery ticket number | 140593 | Your date of birth | Aaabbbccd | The grades you want in your GCSEs | Data and information Data‚ information & knowledge Data Data consist of raw facts and figures - it does not have any meaning until it is processed and turned into something useful. It comes in many forms‚ the main ones being letters‚ numbers‚ images‚ symbols and sound. It is essential that data is available because it is the first
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential
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Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not
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Data warehousing is the process of collecting data in raw form for analyzing trends. The benefits to data warehousing are improved end-user access‚ increased data consistency‚ various kinds of reports can be made from the data collected‚ gather the data in a common place from separate sources and additional documentation of data. Potential lower computing costs‚ increased productivity‚ end-users can query the database without using overhead of the operational systems and creates an infrastructure
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Systems approach is consisted of two types of system‚ the closed and open systems. Closed systems have relatively little interaction with the environment. (Heil 2015) The Closed-system approach conceives the organization as a system of mechanical‚ technology‚ equipment and materials; that tends to exclude competitors‚ suppliers‚ distributors and government regulators. The Closed system approach allows the managers to analyze problems by examining the internal structure of the organization with little
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510 Quantity 196 1.82 .539 Varity 196 1.95 .793 Brand 196 1.77 .748 Durability 196 2.08 1.248 Availability 196 2.24 .817 Promotion Scheme 196 2.24 .977 Advertisement 196 2.20 .845 NORMALITY TEST Descriptive Statistics N Mean Std. Deviation Skewness Kurtosis Statistic Statistic Statistic Statistic Statistic Gender 196 1.11 .310 2.560 4.600 Age 196 2.42 .803 1.062 .855 Education 196 1.90 .762 .517 -.130 Occupation
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Activity 1 Reasons why organisations need to collect HR Data. It is important for organisations to collect and retain HR data as this will be key for strategic and HR planning. It will also help to have all the information necessary to make informed decisions‚ for the formulation and implementation of employment policies and procedures‚ to monitor fair and consistent treatment of staff‚ to contribute to National Statistics and to comply with statutory requirements. The key organisational
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