Essays on Data

ADT is a data collection and analysis company that provides subscription software tools to its customers. The main functions of ADT is to assist its clients in decision-making. It uses the large and consumer related data such as consumer profiles and purchase patterns etc. ADT provides an option to the clients to log into the portal where software for organizing the huge data according to their requirements. The clients can subscribe to the services of ADT by paying for usage time or annual fee basis.

The current information in the database of ADT is raw information. It is stored ...

1. Introduction The porter’s five forces can be used to establish the competitive intensity thereby the attractiveness of a market. Attractiveness refers to the industry profitability. An industry where there are combinations of forces that drive down the industry profitability is known as ‘unattractive’ industry. A very unattractive industry refers to the industry approaching pure competition.

The porter’s five forces include;

Threat of entry of newcomers Threat of substitute products Intensity of competitive rivalry Bargaining power of suppliers Bargaining power of customers Michael porter’s model is a powerful tool that can be used to scrutinize the industry economy ...

Abstract

This study analyzes the benefits and challenges of implementing an electronic medical system in both hospital and clinic environments. The overall research problem addressed in this study is determining how to effectively manage and communicate expectations associated with perceived benefits and challenges derived from a new install of an electronic medical record. The purpose of this study is to analyze perceptions associated with both the benefits and challenges derived from installing an electronic medical record system. This problem is relevant to many such as those who ...

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 ...

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 ...

Introduction and definition of data warehouse

Data warehousing is a technological database that is relationally designed for the query, as well as analysis function. It incorporates data stores and logical, conceptual, as well as physical models that support business objectives and end-user information needs. Ideally, it also comprises of historical data that is derived from myriad sources including transactional data. One of the most advantageous primary functions of this warehouse is separation of analysis of workload from transactions. This enables any organization in question to consolidate the data acquired from different sources (Inmon 63). The creation of a data warehouse necessitates mapping data between targets and sources. ...

Introduction

The term “warehousing” can be understood in English as “a storehouse for depositing goods and merchandise”. Suppose that the goods and merchandise are nothing but our good old data – sales reports, statistics, and business transactions – this will constitute a “data warehouse”. The concept of data warehousing states that data from older system is copied into a new system dedicated entirely for analyzing data. Data warehouse will store a substantial amount of historical data. Users of this system are able to continuously ask or query it to retrieve data for analysis. Many organizations have adopted this concept to informed decisions faster through the historical ...

Business Intelligence and enterprise data mining management

A data warehouse is a kind of database designed to enable business intelligence solutions. Data warehouses are used to understand and enhance a performance. The warehouse is designed to query and analyze instead of merely conducting transaction processing. Historical data may be derived from transaction data but can include data from other locations. Data warehouse separates analysis workload from transaction workload, giving the organization the ability to maintain historical records and analyze the data to gain better understanding of the business and improve its practices. The environment in a data warehouse includes extraction, transportation, transformation and loading – referred as the ETL solution, ...

Data compression algorithm for wireless sensor networks

Abstract There is an increased use of wireless networks in organizations. There also the use of Wireless Sensor Network (WSN) that is used for monitoring the environment. The two basic activities that are involved in WSN include data acquisition and data transmission. The problem with the process of transmitting and acquiring tasks is that there is high power consumption. This needs the use of data compression so that there is reduced consumption of power. This paper will analyze algorithms that are used in Wireless Sensor Networks to undertake data compression. In particular, there will be the analysis of ...

Data compression algorithm for wireless sensor networks

Abstract There is an increased use of wireless networks in organizations. There also the use of Wireless Sensor Network (WSN) that is used for monitoring the environment. The two basic activities that are involved in WSN include data acquisition and data transmission. The problem with the process of transmitting and acquiring tasks is that there is high power consumption. This needs the use of data compression so that there is reduced consumption of power. This paper will analyze algorithms that are used in Wireless Sensor Networks to undertake data compression. In particular, there will be the analysis of ...

The Name of the Class (Course)

The Name of the School (University) The City and State Introduction Literature Review According to Geopolymer Institute (2014), Joseph Davidovits discovered Geopolymer concrete. Joseph Davidovits is a French National born in 1935. Geopolymer concrete is as a result of a reaction of source materials. Constituents of source materials are alumina, silica, and alkaline liquid. Geopolymer has a 3-dimensional structure. They are manufactured using low amounts of temperature. The manufacture of Geopolymer involves mixing several products. These products are alkali metal hydroxide and aluminosilicate. Aluminosilicate acts as a binder. It is a constituent of aluminum and silicon. Research shows that Geopolymer ...

Management Information System

- According to Mark Hurd, why does his typical customer's IT budget increase by two to three percent per year (even when his typical customer does not do any innovation)? (5 points) There are tons of changes the application undergoes in its structure. The companies are trying to update the old applications to be used with today’s gadgets and cloud as the users today are not limited to, system based apps, but use a variety of products like tablets, smartphones and tabs. Clouds have become modern day’s database and means to communicate, circulate and publish information. ...

Thesis statement: Data warehousing is critical in the socio-economic success of businesses in the world today by means of providing an important platform for both social and economic interactions that proceed with the greatest regard to competitiveness and relevance since markets continue to grow more unfavorable to irrelevant businesses. It plays a central role in ensuring the existence and competitiveness of an organization remains intact as efficiency and reliability of data processing are upheld. Organizations have to adopt data warehousing if at all they need to remain relevant in the current super competitive markets.

Summary

A data warehouse, also known as ...

Star schema (simple)

“Star” schema is actually the simplest architecture within data warehousing. This architecture is termed as star because of the diagram that looks like a star. In the center of this diagram, there is a “fact” table that links to the “dimension” tables. Star schema is the most common data warehousing schema that is used. Oracle recommends it to be used. Star schema is a widely supported business intelligence tool. This architecture is very useful since you can create some useful queries and in addition it is very easy to do since not many tables need to be joined (Wang 2006). Another advantage ...

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 ...

Other Details

Abstract Relational Database Systems (RDBMS) are the most popular database systems today. The relational model of database management emerged from a dynamic database model called DataBase Management System (DBMS). Dbase and FoxPro were the popular DBMS in the 1970’s and 1980’s. RDBMS emerged in the 1990’s. Though RDBMS is a popular form of database management, few appreciate its true potential. Modern applications that allow multiple devices to access and manipulate data are overshadowing RDBMS. NoSQL models such as Hadoop and MapReduce allow document processing which is a feature that the relational model lacks. An in-depth understanding of the ...

IT governance

Executive summary IT governance is a significant aspect that needs to be taken into consideration in any organization. With the rise of information systems use and the need to have automation of many business processes, there is a need to ensure that there is better management of IT processes. Also, there is a need to ensure that the IT processes optimize the functioning of the business within an organization. Security is a significant aspect of IT. It is for this reason that there is a need to have a structure and framework that will be used to manage the security and privacy of organizational ...

- Strategies used in Multiple Triangulations The participant’s observations have been considered important as a number of factors like document analysis, merger of interview surveys, direct observations and the participation of the observer are involved. On the same grounds, experiment, survey, film, pictures and biographical methods have been defined in the category of approaches in order to get the data from sources. Most of the interpretive sociologists prefer to utilize triangulated method to make their schemes as unrestricted for the people. This reflects that such sociologists are committed to rigor their data. In this context, they will have ...

Introduction

Data migration entails the procedures involved in the transfer of data between types of storage, format types as well as computer based systems as a major consideration in the implementation of systems, their upgrade or consolidation. Data migration is normally performed in a programmatic manner so as to attain automation in migration so as to free up human resources from taxing tasks (Sudipto. et al. 2010). Data migration may be undertaken for several reasons such as replacement of upgrade of server and storage equipment, consolidation of website platforms, maintaining of servers as well as relocation of data centers when the need ...

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

The ever-increasing flow of information in organizations has posed challenges to business for years and this has led to the development of the phenomena of big data. Following the adoption of the term “big data”, velocity, volume, veracity, velocity, and variety are the five elements that scholars have used to describe big data. For years, companies such as insurance firms have correlated data sets using the five elements. This has helped limit confusion attributable to the collection, storage and dissemination of complex data. The correlation is necessary due to the difficulty in managing huge volumes of data sets.

What is Big Data

Big ...

Governance of big data:

Governance of big data is an important in the organization due to the challenges associated with voluminous data. The executives are faced with very huge chunks of data relating to the sales and revenues. The large amounts of data relating to the revenues of the organizations are managed through information systems. The big data is managed through the knowledge work systems of the organizations. All the data of the organization is input into the knowledge work management systems of the organization. These knowledge information stems helps in the organization and analysis of such data so as to facilitate efficient ...

Please read and critically appraise the attached Data Management plan according to the criteria below. Using this document, please type your answers below each item. I am looking for short, succinct answers to these questions. When you have finished, save the document with the following file name: HCR562 EXAM (your last name) and email it to me.

INTRODUCTION:

Were the aims and purpose of the study clearly stated? ( provide more than just yes or no)

Not really. First of all, this data management plan (DMP) was not developed for a study, but rather to detail the Melbourne Neuropsychiatry Centre’s (MNC) ...

AN EXPLORATORY ANALYSIS OF SENATE BILL 863

Requirements for the Masters in Public Policy and Administration Degree The thesis of is approved by __________________________________

Chairperson

ABSTRACT California’s (CA) legislature has passed a series of Workers Compensation (WC) reforms during the past 15 years; the most recent, Senate Bill (SB) 863 passed on August 21, 2012. SB 863 was introduced and presented to the California public as a reform bill that would ensure better coverage and easier medical access for workers injured on the job. SB 899 passed during the early 2000s was shown to be better for California’s workers, than SB863. ...

Abstract Shelter is one of the basic human necessities. Provision of decent-quality and affordable housing is one challenge that various authorities have been faced with, and Sheffield is not left behind. Though she has surpassed her average annual housing needs, Sheffield is still struggling to mitigate housing problems. This research project reviews the use of Geographic Information System (GIS) in Sheffield’s housing and how education level affects the adoption of GIS in affordable housing initiatives. In order to achieve this objective, the current state of Sheffield’s housing is exhaustively considered. Using the boundary data from EDINA ...

Introduction

Many companies, organizations, and institutions depend on information for their managerial functions. Information is becoming a valuable resource that is derived from the processing of raw facts, figures, and raw data; the unprocessed information is known as data. As companies and organizations continue to grow and expand, the amount of data required to process the needed information also becomes voluminous, resulting to data deposits that have the probability of developing. The data deposits that have the profanity to grow up quickly have to be controlled. With the growth of big data in organizations for a long period, there has been the ...

Question 1: As discussed in the article list some industries where big data is being used today? Please elaborate as appropriate from your readings.

Ever since the explosion of the information technology age, big data has become a very common term today. As the name infers it is a collection of large set of data that is stored and used for everything from politics to sports and health and every other thing in between. More and more companies use big data and some of the most popular companies are IBM, HP, Google, Microsoft and Amazon among many others. While these are the most popular companies that utilize big data, there are many other different and smaller companies that also use big data. In 2012, IBM ...

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. ...

This paper discusses a research study conducted by Rodger W. Griffeth titled “ Innovative Theory and Empirical Research on Employee Turnover.” The researcher studied the variability in the mix of; tenure and ability together with personality types have relations with the effectiveness and success of any work. A change in the characteristics of individuals in a group, tends to change the main characteristics within the entire group, or rather, it has an impact on a group level performance due to changes in either, skills, abilities, talents and other cohesive factors that are considered to affect the overall task performance. Previous studies have shown ...

True cloud competencies

In the midst of fresh companies coming up to provide cloud based services each day, the first step is to decide a provider whose main capabilities are concentrated on the cloud. On premise vendors of systems have extremely dissimilar sets of skills, software design, business models, approaches, as well as infrastructure as compared to those central part competencies of a cloud service provider. Much of cloud computing companies’ businesses achievement is dependent on an optimistic performance experience of the system. It is for this reason that real multi-tenant companies for cloud computing places an important resource ...

BIG DATA and its value to Small Medium Enterprise SME’s Restaurants

Big data can be very difficult to work with and may require to be broken down into simpler parts, so that interpretation is easier. The main challenges that are experienced in managing big data management include; storage, captures, curation, sharing, searching, visualization, analysis and transfer (Zikopoulos 2012). Large data sets emerge from derived additional information that results from the analysis of single and large set that is linked to the data. Therefore, big data is a situation whereby data sets collected are complex and voluminous to an extent that management through the use processing tools as on hand database and ...

1.0 CHAPTER I 1.1 Combating Criminal Narcotics Activity along the Southern Border Drug trade has been rife with violence for decades, though the level of violence we experience today are extraordinary. Without working on minimizing the severity of the problems that confront us today, it is critical to understand the background of the culture of violence and the cyclical nature of the violence epidemics. Substance abuse is one of the major problems facing nations while costing them a lot of money in health care costs, lost productivity, related crimes, and other social costs. It also contributes to high ...

Abstract

I believe that the integration of digital technology in designs is very necessary and cannot be avoided. This is because of its extensive effects on architecture and its general ambiguity. This paper, I believe, will make it possible for individuals and institutions to analyze and decide appropriately on the use of digital prefabrication, as a new technology in the design systems. Although many opinions have been presented with different position statements, the immediacy of proactive consideration on the digital systems is of utmost importance. In this paper, I have explored the relationship between CAD and CAM, computer and production.

Introduction

Digital ...

(1) Data analytics and the big data movement both seeks to use data collected to gain competitive business advantages over a company’s competitors. However, three major differences floats out. First, dig data recognizes the fact that the volume of data from gathered from numerous devices like the internet or mobile devices of companies increases exponentially everyday. With big data, the ability to measure the amount of data will pave way to data better data management. Second, it recognizes that velocity of data created is as important or even more important than the amount of data gathered. Because of the ...

(1) With the stern competition among companies today, success relies on gaining business competitive advantages. This is the main objective of big data and data analytics. Though both seeks to utilize data in gaining edge over the other three characteristics differentiates big data from data analytics and these are volume, velocity and variety. Big data is aware and gives importance to the fact that the volume of data gathered by companies from different sources is doubling every day, so being able to predict these data means providing mechanisms that are capable of processing this amount of data. Further, big ...

Introduction

Data warehouse is the database for the whole corporate organization that is used for data analysis and reporting. On the other hand, a data mart refers to the subset of the data warehouse and it is mainly designed for a specific business team or line.

The Integrated Healthcare Delivery System can utilize the data warehouse in various ways that are discussed below.

The data warehouse can be used to deploy dashboards so as to monitor the best practices in areas such as infections and diabetes. The non-ending streams of data can be useful in creating different registries, which includes transplant, cancer and hypertension (Enrado, 2010). Furthermore, the enterprise data warehouse in Medical University of South Carolina has ...

Introduction

Healthcare involves the collaboration of various medical organizations, institutions, and providers, all of whom manage their own data under different storage and retrieval systems, and though practical and efficient within the target system, there is a lack of uniformity in structure across other systems (Masud et al. 2012). Moreover, there are often variations in data compiled from the same resources. This lack of synergy between the various data storage systems, and the types of information stored, preclude the sharing of data among the various healthcare professionals, institutions, and organizations. E-health systems, on the other hand, allow the storage and retrieval ...

INTRODUCTION

The protocols at the transport layer of the OSI reference model provides an end-to-end data delivery service for application processes to exchange messages over the Internet. Protocols operating in the Transport layer use the services of the Internet Protocol (IP) to deliver messages. Many protocols exist at his layer and one of the most important protocols at this layer is Transmission Control Protocol (TCP) for the delivery of data between the Application Layer and the Internet Layer. The shortcoming of IP to guarantee the delivery of datagrams is overcome by TCP by setting up a virtual circuit between the communicating ...

Scope

Review of the scalability of the current information technology in addition to the implementation of the development of demanded facilities and software system integration and expansion to cater for future business opening out, forms part of my greatest duty in this new cyber security insurance provider. Being the provider of cyber security to various agencies both private and public including the government, we are determined to ensuring utmost security to information of our clients while maintaining systems availability and integrity at an instrumental cost of $25 million. The company currently offers data centre service client hosting and IT ...

Abstract

New advances in medical science and technology have decreased the global burden of disease. However, low-income countries lack the necessary resources to provide for the healthcare needs of all their people. E-health systems have the potential to help low-income countries tap into the richer healthcare resources of more affluent countries, by providing cost-effective tools that can link them to global data management banks, clinical decision support organizations, and care-at-a-distance programs. However, to be effective, these resources must be used with care. The first step in prioritizing healthcare resources is to estimate the burden of disease. High-income countries have reliable ...

Abstract

Photovoltaic (PV) systems are one of the next generation’s renewable energy sources for our world energy demand. PV modules are highly reliable. However, in polluted environments, over time, they will collect grime and dust. There are also limited field data studies about soiling losses on PV modules. The study showed how important it is to investigate the effect of tilt angle on soiling.

The study includes two sets of mini-modules. Each set has 9 PV modules tilted at 0, 5, 10, 15, 20, 23, 30, 33 and 40o. The first set called "Cleaned" was cleaned every other day. ...

- INTRODUCTION It is evident from the history of data breaches that there is an increase in the posting of sensitive information publicly on websites of federal, state and city governments. A number of other researches such as the existing research on privacy- preserving data publishing that center on relational data also shows the existence of this increase in information breach. Therefore, government agencies and commercial organizations responsible for reporting data are left with an important duty of representing the data in a significant manner. They also, simultaneously offer safety for the confidentiality of critical components of this data ( ...

Introduction

This paper seeks to draw a comparison between the uses of data in for auditing purposes to the use of data in large scale applications like enterprise resource planning. The gist of the comparison will be to establish whether data is used for the same purposes. The paper will be looking for similarities in data use by the two applications in order to answer the question as to whether the two applications are used for the same purposes. The paper will employ two topics; Business process reengineering and enterprise resource planning. These two topics represent the use of data for ...

Data security is as important as securing our bank account information. It serves as important information that must be secured not just to avoid financial insecurity, but the person’s personal security. It is also vital for companies that need to secure their important company data to ensure that the organization is free from internet hackers. Confidential pieces of information used for payment process, client information, and even bank account information to personal files as well as the documents must be safely stored. This information, once fallen into the hands of a person with no authorization is a potential danger to a ...

Businesses tend to utilize data at their disposal to influence the strategic competitive edge. This calls for database systems that transform raw data into meaningful information. Many organizations employ the use of relational databases in spite of enormous volumes and sources of data to be analyzed. Acting in the capacity of a CIO of Celtic Analytics Ltd, I intend to come up with a database that collects data by use of the following mechanism; - Web Analytics - Operational analysis. Data warehousing is a process of storing the entire company’s data in a big repository meant to provide seamless ...

The value of a business data at their disposal is immense. Big volumes of data necessitate database systems that transform them into meaningful statistics. Many organizations are using relational databases to leverage the collection and analysis of enormous volumes of data. As a CIO of Britam insurance company, I intend to design a data warehouse that collects and analyze data using web analytics and operational analysis. The company obtains data from the web and integrates it with the operational data it obtains from its clients to arrive at a conclusion and forecast on the future. The data obtained in a mining process need ...

Context and Problem Statement:

What problems are the authors trying to solve? Anonymous communications are required everywhere these days and information security is one of the biggest concerns. Latency networks and communication is a common happening however this latency does not only lead to the late communication however it also contributes to leakage of information and details about the sender and receiver. In this paper, the authors have conducted experiments in order to find out the risk associated with leakage of anonymity due to latency.

Are they important problems? Why or why not?

This is a very important problem has data security and information security are one of the most important factors ...

Abstract

Mathematics finds its application in census activities. Census activities require mathematical skills and concepts to be integrated for its success. Thus census data preparation, data collection, data analysis, representation and analysis all require mathematical knowledge and skills. Therefore, graphical data representation, tabulation, mathematical operations (subtraction, addition, divisions and multiplication) and interpretation is necessary to understand the meaning in census data. However, mathematical understanding and skills acquisition can be enhanced through the use of census data in mathematical instruction. This makes learning of mathematic interesting with learners using real census data. Moreover, students use data that they find meaningful in ...

Section 1: Foundation of the Study

The majority of business information is stored electronically, creating the need for a system of securing this information. As the systems providing computer and internet security becomes more and more complex, security is increasingly compromised. Interlopers and hackers continue to create new and more creative means of gaining entry to information stored on networks, and users are facing an increased number of security attacks. Surprisingly, despite the variety and amount of security risks, security tools designed to counter these are slow to develop appear for business consumption (Garcia-Teodoro et al, 2009). With the introduction of new technological trends, information technology ( ...

Solution to tutorial 1

Problem description Three problems that cannot be solved using traditional computing model but can be solved using neural computing include sensor processing, pattern recognition and speech and even text processing. It is because neural networks provide a different approach for data analysis and pattern recognition within the same data as compared to traditional computing approach. Text recognition, sensor processing, pattern recognition and speech recognition are all problems that cannot be well characterized. Therefore, traditional computing can only work well for problem that can be well described in terms of characteristics. These features include balancing checkbooks, keeping tabs of inventory, ...

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 ...

Introduction

All human beings are creatures of habits, both good and bad and while our lifestyle can make us free from of rethinking everything that we are or want to do, anytime we do it, our way of life can also enslave us to doing things that can be very destructive to our life in the long run (Stroh, 2011). These habits can be very hard to deal with, even at point where we know we must, it is hard to avoid. Wealth of knowledge and experience in enhancing the quality of health care has accumulated globe over many decades. ...

The survey targets healthcare workers in hospitals across the nation. They will voluntarily submit to the survey in order to expose their most recent knowledge concerning the nursing shortage. They have been allowed to volunteer at chance as no selected times were chosen for the survey. The respondents targeted could be from any category of the general healthcare community and as noted above will share one more characteristics that are shared and is relative to the nursing community and related by the claim of knowledge concerning the nursing community. In the spirit of the quantitative simple designed research ...

Abstract

The Data Quality Management Model (DQMM) is a model created to manage the quality of data (Wang, 2001). It is comprised of four tools, namely: application, collection, warehousing, and analysis. Application refers to the purpose for the data gathering. Collection refers to the accumulation of data elements (Wang, 2001). On the other hand, warehousing refers to the systems and processes applied to store data and journals, whereas analysis deals with translation of data into information (Wang, 2001). To test the various aspects of data quality, the four testing tools must be used. The DQMM deals with aspects of data quality ...

Management

Introduction Technological breakthrough especially in social media has on one hand opened far greater information for collecting information and on the other has made it extremely complex for managers to screen and use the relevant data for marketing and advertisement activities. Social media websites like Facebook and Twitter have immense data and the challenge lies in screening the relevant data. The data available on these websites is far more comprehensive than the data garnered through CRM as it provides a rear view mirror of the consumer to the companies. The data available in these social media sites can ...

1.0 EXECUTIVE SUMMARY

THMIS document gives the procedures for use by the emergency room wing of a hospital in planning and carrying out the design of strategies and operational plans for strengthening the health management information system available to emergency room wing in a hospital.

The document is designed to help apply and implement the concepts and principles presented in the Health Metrics Network frameworks and Standards for Country Health information Systems. The document is based upon the guiding principles defined in the HMN frame work for guiding health information system design, planning and implementation by using broad based consensus and stakeholder involvement and ...

Big data is defined as a data group that is so large that it causes problems of searching, collection, storage, analysis, and sharing of the data. Big data has four main characteristics. They are; volume, variety, velocity, and veracity. First, volume is the amount of data that is to be analyzed. Variety is the structure that the data in question has. Velocity is the amount of time taken to process the data from the time it is collected to the time it is being streamed. Veracity is the amount of quality of the data that is being analyzed, finding out ...

Introduction 2

Design process 3 Design best practices 3 Business support schema 5 Entity Relationship 5

Reference 9

Introduction Businesses tend to utilize data at their disposal to influence the strategic competitive edge. This calls for database systems that transform raw data into meaningful information. Many organizations employ the use of relational databases in spite of enormous volumes and sources of data to be analyzed. Acting in the capacity of a CIO of Terabyte Ltd, I intend to come up with a database that collects data by use of the following mechanism (Stephens, 2010); Web Analytics Operational analysis. ...

Inductive theory of research – involves a researcher starting from very specific data and then proceeding towards more general information about the research. For example, studying the culture of a person to understand the culture of the clan from which the person comes. Deductive theory of research – works in reverse to the inductive theory. I.e. the research begins from a broad perspective and narrows down to individuals as it proceeds. Epistemological considerations of research try to define the origin nature and scope of knowledge. It uses both positivist approach (scientific study of knowledge) and interpretive approach which deals with how a person ...

Final Report

Background of the Study The research majors on immunization of newly born babies and children aged below 5 years in Canada, New Brunswick. Children below the age of 5 are prone to infection by contagious diseases. Vaccines come in handy as a preventive measure that reduces the chances of infection for this vulnerable section of the population in Brunswick. However, the administration of the vaccines is only possible after the children’s parents given their consent. The primary objective of administering vaccines is to attain global health for children all over the world. Vaccinations are secure and effective ...