Essays on Data Mining

Different Types of Facebook Page Posts

Different Types of Facebook Page Posts Social media marketing is consistently growing as more consumers and businesses become involved in social media sites, and various studies have confirmed the utility of social media sites such as Facebook in building brand image and equity for businesses owners (Kim, Sung, Lee, Choi, & Sung, 2016). However, the growing number of information available on the Internet also means users are overloaded with content and need to be selective of where they direct their attention. For Facebook page owners, that means their posts will be less likely to appear in the News Feeds of ...

Key issue / Introduction

The Department of Homeland Security was created in 2002 to protect the homeland security of the United States. Cybersecurity is a goal of the department and involves the protection against the unauthorized or illegal use of electronic information or data. It involves the protection of computers, networks, data and programs. Cybersecurity involves a number of factors. Those will malicious intentions can have operated from any place in the world. Cyberspace and systems that are physical have strong linkages. Vulnerabilities to cyberspace are difficult to reduce. Those who invade and attack cyberspace are difficult to identify due to the complexity ...

What is data mining?

Data mining is the evaluation of large data sets to discover patterns. The process involves the intersection of statistics, database systems, artificial intelligence and machine learning.

What is micro-targeting?

Micro targeting is campaigning strategy, which borrows from marketing, which utilizes voter information and demographics to recognize and identify the particular interests in an election campaign. The aim is to get groupings of like-minded individuals and influence their responses and actions.

How is data collected?

The campaign organizers build a big list of supporters through e-mail acquisition or through getting people to sign up as volunteers.

How is data used?

The information from email leads to an avenue where the campaign ...

Data mining involves the analysis of huge data sets to study and use the resultant trends in the prediction of future occurrences. This paper reviews and compares three youtube videos on data mining in healthcare. In the first video, the reviewer, Joshua White (2013), sees data mining as a great potential in transforming service delivery within the health industry. The video shows the technique as an organization’s answer to using data and analytics in the identification of inefficiencies as well as appropriate practices in health care. The desirable outcome for this case is often attaining improved care and ...

The administration of the medical care improves the medical care by taking proper inquiry, (PBRNs) practice-based research networks and knowledge discovery and data mining. It provides help to grow the research capacity of the medical care (Rosales & Rao, 2010). By using the knowledge discovery and data mining, the health care can advance the design and technology and can easily implement the technologies that help to provide the efficient results in the health care. The analysis of Knowledge discovery and data mining provides help to the physicians in order to improve the outcomes of the patients. All the medical research ...

Business Requirement

Change Record Reviewers

Document Control 2

1 Business Requirements 4 1.1 Project Overview 4 1.2 Background including current process 4 1.3 Scope 4 1.3.1 Scope of Project 4 1.3.2 Constraints and Assumptions 6 1.3.3 Risks 6 1.3.4 Scope Control 7 1.3.5 Relationship to Other Systems/Projects 7

References 8

Business Requirements Project Overview AnalyzeThis is a company that is involved in the business of data collection and data analysis. As the business is highly progressive, therefore, the company plans to expand its business by adding two more floors in the company’s building. The reason to expand the company is that the company has estimated ...

Introduction

The Alfa Bank is a medium sized bank, which has branches in Russia, Ukraine, Belorussia, Nederland, and Kazakhstan. The bank is a universal financial institute and provides all types of financial services to individuals, small and medium-sized businesses. Now the bank already has developed hardware and software infrastructure. The operating system for workstations as well as for servers is Windows. It uses Colvir software as ABS, Compass as card system, CRM (customer relationships management) software and different kinds of distance banking solutions for more efficient customer service.

Problem description

For years of bank operating a huge data amounts were collected (hundreds ...

Introduction

The paper gives a report of an interview, which was carried out with a purchasing and supply professional from Apple Inc. The interviewee, who is a data analyst at the company, shared some information about the work that he does. He elaborated about the roles, challenges, achievements, and functions of a data analyst. The paper, therefore, describes the work of a data analyst in depth, as analyzed from the interview. It focuses on the goals, mission, operational and strategic objectives of the supply and purchasing department. Lastly, the paper will compare the company’s goals and mission with the ...

<Course>

Connected anytime anywhere. This is probably one of the best things that the social media can provide society – a sense of connection. Nowadays, there is no doubt that the social media has been an integral part of people’s day to day lives, not just for the young people but also for the older ones. According to Facebook, one of the most popular social media sites that was founded in 2004, they have more than 1 billion active users on a daily basis through March of 2016. However, users do not just use social media sites to ...

As a newly appointed Chief Information Officer of a $25 million dollar data collection and analysis organization which has been under operation for past two years. It is a newly established organization, and head of the company has given me the responsibility to make this organization more progressive and successful.

Section A

There is a variety of specific data examination method which is used in the company, including data mining, content analytics, business aptitude, and data apparition. The company has 20 employees, out of which 4 of them are working in the IT department. The company is using web analytics to ...

CHAPTER ONE: INTRODUCTION

1.0 Introduction The phrasal word ‘Big Data’ means literally an enormously huge volume of data. In the present information era, terabytes of data are generated and petabytes of data are processed everyday with the outreach of ubiquitous social media, online shopping and many other mobile and internet based applications. The traditional methodologies became inadequate to process, analyze and extract information from these huge data volumes from diverse sources and of new and different data types. So, new ‘Big Data’ methodologies have been developed in dealing with this barrage of data and to help governments, businesses and industries in taking ...

New Product Release by Apple Inc.

Introduction This paper highlights the important aspects of new product introduction that Apple Inc. shall need to keep in mind during launch of its new version of the iPhone. The paper is a comprehensive outline of the entire process beginning with identification of target market, factors for consideration in the marketing strategy to be adopted as well as a step-by-step process of launching the product into the market.

Target market

Apple is regarded as the leading manufacturer of smart devices in the world ranging from high definition TVs, iPods, iPad and the revolutionary mobile smart phone, iPhone (Yoffie & Rossano 2012). Most ...

The primary difference between a data warehouse and a database is the that a data warehouse is a repository of data that has been obtained from different sources over time, and that is stored in a unified schema and is typically used for decision support and analysis. On the other hand, a database is a representation of the presented status of particular data that has been stored and is mainly used to handle live quires and online transactions. The similarities between a database and data warehouse are that they are both means of storing large amounts of data. Characterization ...

Executive Summary

An in-depth analysis of the New Zealand’s auto industry reflects that establishment of an auto parts business focusing on the import and supply of all parts of Japanese made cars will be successful in the country. New Zealand greatly relies on used car imports from Japan to meet the local need for higher ownership levels. The planned venture will be located in Auckland, New Zealand. It proposes to import auto parts of Toyota and Nissan in the initial phase of market positioning. In the entry phase, the organization will particularly try to meet the needs of Toyota and ...

Online personal data has in the recent past become the epicenter of commerce in regard to data brokers. This is illustrated by the growth in data mining companies such as Acxiom. The growth in the trading of data is attributed to the growth in demand for such data by private entities and government agencies among others. While the mining and commercialization of data is not a secret undertaking, many individuals are oblivious to this fact. This is illustrated by the vast amount of data points that people post online. Such data points include birth dates, sex, relationship status, credit ...

Business Analysis

Business Analysis

Business involves lot of data and facts to be processed that forms the basis of a sound decision making. This involves analytical method to solve any kind of problem arising in a business. Analytical method is a standard process that combines the power of scientific method with utilization of formal process of problem solving. Business analytics is a much specific process and is defined as the practice of methodical and iterative exploration of data and facts of an organization with prominence on statistical study (Trkman 2010). This forms the basis of data driven decision making.

Data and Techniques

Some of ...

Business Intelligence and Data Warehouses

Business Intelligence and Data Warehouses The term “business intelligence” have come to define the efficiency with which an organization can improve over itself without the usual uncertainty that comes with such decisions. With the rapid expansions of many global corporations, understanding and analyzing huge amounts of transactional data (of all their activities), have become the only solution to manage their future as well as current actions. Most often multinational corporations find themselves at loss whenever rapid business decisions need to be taken which, to the desperation of many corporates, will go on to define the future of their company. ...

In review of the changes that Starbucks has implemented in the last 2 years, there appears to have accelerated its expansion into more Asian markets; presented the general public with several new Frappuccino flavors; changed the dynamics of its beverages in terms of calorie count; a coffee education blog was started and the company has sought to involve consumers more in terms of the types of beverages that are offered within its locations.

Specific Information that Was Needed to Make the Decisions

In order to effectively make the decisions that it has made within the last 2 years, Starbucks management would have needed to conduct surveys, and to ...

4. Analysis of Results The outcomes of the survey and interviews point to specific patterns in regard to the participants’ perception of Business Intelligence consultancy, leadership and the theory that was selected for this study. The particpants’ perceptions consist of what BI is and what is required to achieve and maintain success in the BI industry sector. Loshin (2012) contributed that BI is “the exercise of data collection used to analyze business through the different lens of different decision makers”. The Data Warehouse Institute define BI as "processes, technologies and tools that transform data into information" (Loshin, 2012). The ...

Question 1

a) Information Systems for an Airline: Airline industry has been utilizing the merits of computer based information systems to provide a better class of service for its customers, since the 1970s. These industries had invested a lot in transaction processing systems and management information systems since then. Even though decision support information systems is still at its infancy in Airline industry, latest studies have revealed their importance in fixing business related parameters of Airlines (such as Airfares) in improving their business value without making unnecessary compromises in profits . Integration of decision support systems with either of the aforementioned information ...

IT-experts treat data mining (storage) and retrieval as the most important application of the data warehouse technology (see, e.g., Inmon, 1992; Inmon, 1997). In particular (or most largely), this refer to the retrieval of the latent predicting information from large databases (Edelstein, 1997; Thearling, 1998). In the present essay, most important and promising trends of automatic tools to store, mine, retrieve, and process data are reviewed.

Integration of text, data, code, and flows

In DBMS (database management systems) area, the main attention was always drawn to the organization, storage, analysis, and retrieval of structured data. The development of Internet has shown that more complex data types ( ...

Data Mining has created a great deal of controversy in the business world due to the fact that it violates many principles of privacy. Where we run into issues with protecting privacy is a result of the strict confidentiality laws that exist in the United States. Consumers ideally do not want companies having access to information about their purchasing patterns. Essentially, customers do not want the hassle of receiving more advertisements than they already do. Data Mining has been seen as the enemy to the consumer because in the modern age that we live in, there is not a ...

Introduction 3

Methods of accessing digital data 3 Digital Marketing Analytics 4 Social Media Marketing 5 Search Engine Optimization (SEO) 6 3D Printing 7 Customer relations 8 Customer Loyalty 8 Customer Acquisition 9 Customer retention 10 Conclusion 12

References 13

Digital Marketing Introduction Digital marketing is a method which corporates, individuals or even governments and other agencies can use in order to get various product information to reach the customer. It improves the number of individuals and widens the market scope. Digital marketing happens mostly on an online platform where the customer is able to give prompt feedback to the marketer, whether voluntarily ...

Executive Summary

In view of the issues facing the ABC management, the key solutions identified relates to three issues on cash and budget, innovation and product development as well as theft and fraud reduction. With that, The Cost and budget management solution is meant to enhance the business performance by reducing the excessive and unnecessary use of the company resources. That would be achieved through key initiatives involving effective management of the sales and expense as well as debt management that would cut on expenses and the interest paid on debt by having more responsible personnel overseeing the accounts and their ...

Data Mining refers to an analytic process created to explore a large amount of data in search of steady pattern and the systematic association between variables, and then to authenticate the findings by employing the identified patterns to new subsections of data. Predictive data mining has the highest business applications and is a most common form of data mining. The process of data mining comprises three stages such as initial exploration, model building, and deployment [1]. Figure: Example of data mining process [2]

Importance of Data Mining Process Topic

The process of Data Mining is an exciting process because it provides crucial stages most organizations ...

Introduction

Growth of the online market and developments in online platforms have given rise to new media marketing, which refers to the use of social media, mobile platforms, and search engines to reach out to customers (Herman, 2011). New media tools facilitate exchanges of information between marketers and consumers. Easy transmission of customer information on the Internet has led to the issue of consumer privacy (Hann et al., 2007). Consumer privacy refers to the prerogative of consumers to be left alone or be free from unsolicited intrusion, consumer control over access to personal information they share online, and concealment of ...

Introduction

Tesco is the leading supermarket in United Kingdom, and is the dominant company to realize endless benefits of large data analytics. It supplies customers nationally with groceries and a huge range of diverse services. From the start of mid 990s, Tesco launched own loyalty program having Clubcard. Several competitors used identical cards as a way to get target coupons and discounts. Nevertheless, Tesco discovered the importance of insight it would provide into its consumer’s behavior patterns. The company commenced processing the large flood of data originating in from these cards, and managed to better target mailings of coupons ...

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Introduction

The global information system has been influenced by various factors including culture at various levels of an organization, national and local. Global culture has played an important role in influencing IT processes. The result is a global information system that evolves according to the situation varying across national cultures. It has been evident in global multinational corporations. Studies provide a rich narrative of how national values and organizational values have impacted the adoption and development of Information Systems. This impact has been upon the management, strategy, use ...

The Major Components of BI system:

The business intelligence system is a multilayered software system composed of several software components that are duty specialized. These components function in a systematic order. ETL is the first component and it functions in data extraction, transformation, and loading while the data warehouse is the second (Ranjan 2005, p. 61). The third, the fourth and the fifth components are the online analytical processing (OLAP) unit, the data mining unit, and finally the information visualization unit (Ranjan 2005, p. 61). The information visualization unit comprises of the ad hoc inquiry and reporting unit and the report presentation tools. This paper ...

PERSONAL STATEMENT

I would like to pursue further studies in artificial intelligence, with a bias in designing and implementing solutions for the multi-goal robot path planning. My major concern is on the design of robots’ paths with a keen consideration of the goals of the roles of the robot and the length of the path. I strongly believe in my ability and attitude and thus convinced that I am bound to greatly succeed in my pursuit. For instance, I greatly bank on my academic background alongside my passion for artificial intelligence to give me sufficient propulsion towards attaining the utmost success ...

INTELLIGENCE: CONNECTING DATA AND PROCESSES,” BY

VAN DER AALST, W., ZHAO, J. L. AND WANG, H. J.

A Critique of the Paper: “Editorial: Business Process

Intelligence: Connecting Data And Processes,” by Van Der Aalst, W., Zhao, J. L. and Wang, H. J. The central theme of the paper deals with the relation (or rather the non-relation) between processes and data. It speaks particularly about the massive amounts of data that can cause difficulty in processes. Hence, the need is for the two aspects to communicate with each other at an optimal level. The paper reveals a focus on the improvement of processes. These processes are related particularly to Business Process Intelligence, which is ...

Introduction

The use of big data in institutions of higher education has become more popular. As more and more educational institutions search for solutions to the educational crisis in the United States, the popularity of student data mining practices is becoming increasingly apparent. Around the country, hundreds of colleges are tracking students’ digital footprints whether it is their attendance, studying habits, school outings, and even monitoring ID cards. New data analytic practices are being adopted by educational institutions who claim that these will increase graduation rates and lower the cost of college, particularly among less financially secure students. Despite the ...

Data analytics is an algorithmic or mechanical procedure of deriving the information from the data set. For example, this may be looking for the association between the data variables. This concept refers to a qualitative analysis of the data. Qualitative analysis is performed based on a quantitative analysis, but is not confined thereto. The qualitative analysis explains the reasons for the relationship of various parameters and form hypotheses about the association between factors (Quora.com). Data mining is the process of identifying hidden patterns found in the raw data. These patterns should be previously unknown and non-trivial. They are simple ...

Chapter 12 Quiz

Chapter 12 – Quiz 12 2. Evaluate the arguments that were examined for and against future research in nanotechnology. Given the potential advantages and disadvantages of future development in this area, which side’s arguments do you find more convincing? Do the criteria provided by Weckert for when research in a particular area should and should not be allowed offer us any guidelines for research in nanotechnology? Which kinds of ethical guidelines need to be built into research and development in this field? a. I find the argument for the future research in nanotechnology more convincing. The six utopian dream ...

Abstract

The process of taking business decisions is taking a more scientific approach with the increasing use of information obtained from hidden patterns in data. Data mining entails the process of extracting useful patterns from large datasets to guide decision taking. The steps involved in the decision process include data selection, data cleaning, data mining and evaluation. Owing to the size of the dataset involved in the data mining process, algorithms that identify patterns have to be optimized. A number of tools to make the process of decision support with data mining easier have been developed as the trend increases. ...

Introduction

This paper aims to review a journal article entitled “Data Mining with Big Data” by Xindong Wu, Fellow, IEEE, Xingquan Zhu, Senior Member, IEEE, Gong-Qing Wu, and Wei Ding, Senior Member, IEEE, which was published on January 2014. Furthermore, the paper will be divided into various subsections to provide an organization of the points being reviewed.

Objectives and Domain

The objective of the article was to discuss the limitations of using the HACE theorem as a tool to model Big Data or large data sets. The importance of the proper use of Big Data through careful analysis in many fields including the ...

Business Intelligence

One of the companies that use data mining approaches is Wal-Mart; the company uses data mining techniques with a major purpose of understanding buying patterns among its targeted clients. In addition, American Express and AT&T are some of the companies that have implemented the use of data mining techniques; they also apply data mining techniques as a means of understanding how consumers behave, hence enhancing their capacities to implement promotional strategies.

Data that the System considers to make course recommendation

The system uses students’ profiles as well as transcripts in order to provide recommendations to the students on the most appropriate course they should select.

The Number of Courses Recommended to Students

The program provides ...

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Introduction

The company is considering another multinational company equal to its size for acquisition. The decision of the merging of the company with the other multinational brand has been taken by the company’s executive committee and shared with various stakeholders during the executive leadership meet. The CEO (Chief Executive Officer) anticipates a project plan with regards to the Information Technology requirements within the next sixty days. The project plan must strategically integrate all the systems of the company with the multinational company. The merging systems must include ...

Business Analysis:

1. Explain to the client the type of data generated, collected and what it will be used for. The data generated by the system will include products that the customer may want to purchase based on their shopping history and interests. The data collected by the system will include previous purchases and other customer interests. The data will be used to provide the customer with recommendations in order to make their shopping experience easier.

2. Explain the expected outcomes (positive and negative).

The positive outcomes of the system will be that the customers shopping experience will ...

In spite of increasing trends in information technology globally, security has been a challenging issue for computer networks. Intrusion detection system has been the central topic of study for several researchers; studies particularly revolving around how IDS based on data mining methods are an effective strategy. The survey conducted in the paper “Intrusion Detection System with Data Mining Approach: A Review” is intended to clarify the various problem definitions associated with network intrusion detection and the specific obstacles seen in this field of research. The paper also deals with the varying assumptions and ...

Netflix is an American company, a supplier of films and TV series based on streaming media. Founded in 1997. The headquarters is located in Los Gatos, California. The firm has more than 40 million customers in 41 countries (2013)

Slide 3

Netflix originally engaged to rent movies to a DVD-ROM, using the business model DVD by mail only in the US. This business model works as long as not "blow up" online video market. Therefore, Hastings (CEO) decided to invest heavily in streaming video.

Slide 4

Unlike traditional providers of broadcasting and cable television, company Netflix offers its subscribers unlimited access to premium-rate content without ...

Section 1: Why I think that the following six topics are most important for SuperTraining IT

These topics either speak to issues that are directly relevant to SuperTraining Corporation’s core businesses (advertising, distance learning, internship/placement and tuition finance counseling). Effectively, issues and/or technologies that referred to these core business areas, concerning quality and security (e.g. network security), service delivery (e.g. audio and video streaming) have been chosen. I understand that all the topics in module 2 are necessarily relevant to SuperTraining Corporation, but I was interested in those topics that refer to, or can help create a unique ...

The article titled Data Mining and Clinical Decision Support System by Michael Hardin and David Chhieng provides an insight into a process of searching and converting data. First of all, authors define the notion of data mining in its broader terms. It is aimed at transforming the data into meaningful information and at searching for new patterns for the users. Pattern recognition is a part of the data mining. It was developed to look for analytical models, which would be able to classify data. Data mining is also related to the clinical decision support system. The progress in computing and medical ...

3A. Data mining involves extracting meaningful information from data. There is much misinformation about data mining. The data is important, and data mining is a larger process applied on that data. It is not necessary that data mining be accurate, but important is to derive patterns and hypothesis. In short data, mining can also be termed as an automated extraction process of information from big data sets. There are various data mining tools and algorithms that enable the extraction of information, though some level of statistical expertise is required to use those techniques. Some data mining techniques are decision ...

Data mining refers to the computational process useful for the discovery of large sets of data, which employs methods on knowledge for artificial intelligence, statistics analysis, machine learning and database systems. The data mining process aims at extracting information from a set of data to transform it into a clearly understandable form that is useful for further analysis. Apart from the raw analysis move, the process involves database and data management processes, data pre-processing, model and interface considerations, interestingness metrics, considerations for complexities, post processing for obtained structures, visualization, as well as online updating (Frand, 2013).

On the other hand, data ...

Sample: this helps to slim down the processing time by selection of a representative sample to get a crucial information. Some of the strategies include simple random and the stratification of samples that is a representation of the needed subgroups. It enables extraction of information that are critical. It obviates the problems of data validation, production of substandard results. This could be related to the program to determine the number of cases of individuals moved by the Ebola virus and hence the data should be the number of the great unwashed who are already with the virus.

Explore: one of the means ...

There a lot of connection between information technology and biblical concepts of wisdom and intelligence. The book of Proverbs talks about wisdom in almost all the passages. There are many passages where the concepts of wisdom that are presented in the bible relate with what is there in information and data mioniongng and the intelligence and information that come from it. This paper will analyze the concepts of how information technology and the biblical concepts of wisdom are related.

IT relation with biblical concepts

In proverbs 8:32-35, we are told that we should always seek for wisdom and we should always look at the doors ...

Web technologies

Data mining Data mining is the process of sorting through a collection of data for the purpose of identifying patterns and using the patterns to establish relationships. There is a lot of data processing to get valuable information that can affect the way the organization behaves in future.

Data warehouse

Data warehouse – is a central place where all-important parts of data that various information systems of an enterprise collect. BLOB BLOB (Binary Large Object) is a field of a database that holds any information, which is digitized including text, video, audio, images and video. It can have a large capacity of storage.

HTTP

Hypertext ...

[Author Name(s), First M. Last, Omit Titles and Degrees] [Institutional Affiliation(s)] [Include any grant/funding information and a complete correspondence address.]

In an organization, employment test is an identical sequence of queries to evaluate employee’s knowledge, expertise, aptitudes, or other individualities. Using supervisory evaluations as a criterion to evaluate tests can have its own repercussions. Validating tests tend to emphasize abstract thinking skills, decision-making ability, with evaluation of good and bad decisions or personality profiles . I believe there can be bias results in employee evaluations depending on selection rate of a demographic group, such as, whites vs. blacks, ...

In today’s information age, more and more details about people’s personal and professional lives are available than ever before. To that end, many people have concerns about how that might affect their lives and futures; how much do we want others to know about us? In Erin Moriarty’s “Did the Internet Kill Privacy?”, the journalist discusses the dangers and pitfalls of having personal information about yourself online, and how it affects one’s academic and work lives. Meanwhile, Rhonda Savage’s “Facebook: Fired Up or Just Fired?” takes a more even-handed approach to the Internet, showing both ...

Introduction

Getting an edgy and upper hand is essential for an organization as far as their core productivity and efficiency is concerned (Bagchi and Atluri, 2006). Those organizations which are able to compete with other organizations have to cover numerous aspects accordingly, and all of the aspects would be essential for their economic and strategic growth (Banchs, 2010). Data Warehousing has now emerged as important elements that lead to give financial and strategic effectiveness to an organization. Organizations which are striding in this ambit are using the Data Warehousing Techniques for their future effectiveness, and among those organizations which ...

1.0 Introduction The institute of electrical and electronics engineers (IEEE) defines testing as an activity carried out for evaluating products quality, and for enhancing it, by identifying defects and problems. The definition of testing may vary from one area of study to another. In whichever, area of study it is performed for purposes of verification and validation of the product in question. Some of the areas of study to be looked at comprises of model based testing, data mining and marketing tests, software testing, network testing, power aware testing, cloud testing and automatic generation of testing cases from ...

Introduction

The operational environment requires plausible analysis of the internal and external factors that are bound to impede on organizational performance. Through an analysis of the aforesaid aspects, plausible strategies are bound to emerge towards profitable outcomes. Thus, this paper will evaluate Lincoln electric as per the case questions in its venture into India.

Part I: environment analysis

Environmental audit of an organization denotes the macro environmental evaluation of the various aspects that are not within the control of the organization. As such, there are various tools that are used towards analysis of the external environment that an organization can inculcate. Thus, a PEST and ...

Describe the kinds of “big data” collected by the organizations described in this case.

The organizations described in Big data big rewards collect different kinds of big data. The British library collects data about the billions of searches performed by their website visitors. The library also preserves historically significant sites that no longer exist, for example, websites of past politicians. State and federal law enforcement agencies collect big data on all crimes and information about criminals such as suspect’s photos and their past offenses. They also have data on criminal organizations, illegal activities, and crime complaints. Vestas collects big data about the weather and the location they want to set up turbines. ...

Issue in Information System Operation Management (ISOM) Database security

Introduction Increase in the use of internet has increased the vulnerabilities of databases for many corporations. Many organizations operate and maintain their brands through ensuring that databases containing client information is well protected. According to Bertino and Sandhu (1), the proliferation of web-based applications increases the risk of exposure of databases. Database security has been a challenge since the beginning of use of databases in the 1970s. Every effort to improve technological advancement has led to an increase in the attacks on databases. Recent cases have been reported of hackers accessing private information from different databases of different ...

Abstract

This discussion explains how through cloud computing, the process of data mining is facilitated. Through data mining, information that is potentially useful can be retrieved from raw data. People often face the need for targeted advertising, whereby data mining techniques give businesses greater efficiency, hence helping to lower costs. In the sector of cloud computing, data mining has become of great importance. The facilitation of data mining through cloud computing will enable users to obtain useful information viaa virtual warehouse of integrated data, helping to lower expenses of storage, technical staff, and purchase of infrastructure. Key terms: Data ...

Abstract

In the cyber age, the storage and retrieval of useful information is central to any organization, whether profit-oriented or nonprofit. Company processors store large volumes of raw data that need processing and classifying. Only useful data is worth retrieving. There is no better way to extract useful information from databases than by applying data mining that leaves unnecessary data untouched. The competitiveness of business environment necessitates the application of the most updates information retrieval techniques. Data mining may prove useful in market segmentation, fraud detection, customer churn, direct marketing, market basket analysis, interactive marketing, and trend analysis. The project ...

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Introduction

This application database named 'Budget Car Rental' is being maintained by an imaginary company to process car rentals for customers. It is a small business based in Melbourne. They mainly rent out Luxury Cars and 4X4, sport, supercars. The database consists of tables for customers, cars, and order processing. Customers need to be a member to be able to rent cars from Budget car Rental Service. In order to service the demands of customers and to run the business smoothly, the company needs to know how many numbers ...

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Introduction 3

About Amazon.com 3 E-Commerce Solution Key Elements of Amazon.com 4 Technology Infrastructure 4 Datawarehouse and DataMining 6 Datamining to operational efficiency and acheiving sales goals 6 Network Security Threats in E-Commerce Applications 7 Controlling Network Security Threats in E-Commerce Applications 8 Payment Gateway 9 Conclusion 9

Reference 11

Introduction E-Commerce is a present day business methodology addressing various needs of organizations. It enables consumers and merchants to reduce costs and simultaneously improving on the quality of products and services. It ...

Business Intelligence and enterprise data mining management

Business intelligence is one of the techniques of analyzing business process data in the enterprise and mainly comprises the practice of capturing and assessing various aspects of customers, competitors and the enterprise as a whole. BI is used in gathering, storing, analyzing and providing access to intelligent information used to derive trends, patterns of business and decision-making processes. Enterprises can make more accurate information concerning tactical and strategic plans such as determining supply chain or competing in a specific market. This paper concerns an implementation plan for building up BI and EMD capabilities in Woolworth. The paper will discuss user ...