# Data analysis Essays & Research Papers

## Best Data analysis Essays

• Approaches to the Analysis of Survey Data
Approaches to the Analysis of Survey Data March 2001 The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID © 2001 Statistical Services Centre, The University of Reading, UK Contents 1. Preparing for the Analysis 5 1.1 Introduction 5 1.2 Data Types 6 1.3 Data Structure 7 1.4 Stages of Analysis 9 1.5 Population Description as the Major Objective 11 1.6 Comparison as the Major...
9,401 Words | 39 Pages
• Statistics in Data Collection and Analysis
The Community Tool Box Our Mission Promoting community health and development by connecting people, ideas and resources English | Español Search the CTB Table of Contents | Do the Work | Solve a Problem | Use Promising Approaches | Connect with Others Workstation Sign-In Services Share on printShare on emailShare on facebookShare on favoritesShare on googleShare on twitterMore Sharing Services433 Table of Contents Chapter 37. Some Operations in Evaluating Community Intervent......
6,484 Words | 18 Pages
• Data Processing And Analysis - 342 Words
﻿Data processing and analysis Qualitative Research The interviews were designed to address four main purposes. Understand the characteristics that the community associate with recycled water, understand the level of knowledge about the topic and assess if they would drink recycled water or not, and what motivates them to do it or not. Since the purpose of this research is to come up with a theory, the system for data analysis used is the Grounded Method Theory. Because the interviews have an...
342 Words | 1 Page
• noise reduction in data analysis
﻿NOISE REDUCTION IN DATA USING POLYNOMIAL REGRESSION Geetha Mary A, Dinesh Kumar P, Girish Kumar K, Gyanadeep N School of Computing Science and Engineering, VIT University dinesh.venkata@yahoo.co.in Abstract:-Noise is common in data which hinders the data analysis. We consider noise as low-level data errors or objects that are irrelevant to data analysis. Data cleaning technique reduces the low-level data errors but not irrelevant objects. To reduce both types of noise there are three...
982 Words | 5 Pages
• ## All Data analysis Essays

• Qualitative Data Analysis - 1168 Words
Qualitative data analysis What Is Qualitative Analysis? Qualitative modes of data analysis provide ways of discerning, examining, comparing and contrasting, and interpreting meaningful patterns or themes. The varieties of approaches - including ethnography, narrative analysis, discourse analysis, and textual analysis - correspond to different types of data, disciplinary traditions, objectives, and philosophical orientations. What Is Qualitative Analysis? We have few agreed-on canons for...
1,168 Words | 7 Pages
• Data Collection and Analysis Grid
Data Collection and Analysis Grid * Use the two articles assigned by your facilitator to identify the following data collection, analysis, and measurement elements for the studies. Limit each box to no more than three sentences. * * | * Qualitative | * Quantitative | * Data collection methods | * This qualitative study used a focus group interview as the main data collection method with a semi-structured design. | * The study employed an experimental...
580 Words | 2 Pages
• Sampling Techniques and Data Analysis
Polytechnic University of the Philippines College of Economics, Finance and Politics DEPARTMENT OF BANKING AND FINANCE Sta. Mesa, Manila SAMPLING TEACHNIQUES and DATA ANALYSIS Submitted by: Jayson A. Enabia Rechelle Ann V. Elon Lobelyne Elago Monica Mae R. Flores April Mariz Francisco BBF 4-10n TABLE OF CONTENTS Introduction 1 Methods of Collecting Data Interview method 1 Questionnaire Method 2 Empirical...
2,699 Words | 14 Pages
• Statistical Analysis System : Summarizing Data
Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary...
1,690 Words | 14 Pages
• Cross Tabulation and Exploratory Data Analysis
﻿ Mastering Teacher Leadership Business Research Methods Questions 4-5 4. Prepare a preliminary analysis plan for this study. Which variables do you want frequencies on? Why? The initial stage of the data correlation and analysis would be the proper coding of the data and entry into an appropriate software database. For this case study, the data was presented as an Excel file, so the exploratory data analysis would include a complete descriptive statistical...
488 Words | 2 Pages
• Dealing with Data: Using Nvivo in the Qualitative Data Analysis Process
Dealing with Data: Using NVivo in the Qualitative Data Analysis Process The decision to use computer software programs for qualitative data analysis is essentially up to the person analyzing the data. There are positives and negatives when using these software programs to analyze data. A researcher in London wanted to find out if using the software package NVivo would be helpful in her data analysis process. The purpose of the study was to consider the difficulties surrounding...
422 Words | 2 Pages
• Mba Suggestion Made Should Be Based on the Analysis of the Data
FORMAT OF MINIPROJECT REPORT (With general guidelines on how to write a project Report) (FOR THE STUDENTS OF MBA) ✓ Consult your Guide form time to time, as well as whenever necessary, carry out suggested changes by your guide and then proceed for next step. ✓ Do take signatures of your project guide as required on your progress report sheet. ✓ Do not include in the report the text printed in the BLUE INK, these are simply instructions or guidelines to be used while...
1,242 Words | 6 Pages
• big data - 1266 Words
﻿Executive Summary Today we have entered 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...
1,266 Words | 4 Pages
• Big Data - 6190 Words
CS4103 Distributed Systems Coursework Part 1: Big Data Student ID: 080010830 March 16, 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries, thus in this paper we have covered examples as well as current research that is being conducted in the ﬁeld. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big...
6,190 Words | 18 Pages
• Big Data - 7013 Words
Banks, Big Data and High-Performance Analytics Insights on Turning Big Data into Competitive Advantage A selection of articles that appeared in Big Data = Big Gains, a special digital publication by Bank Systems & Technology Table of Contents Turning Big Data into Competitive Advantage . . . . . . . . . . . . . . . . . . . 1 Can Banks Play ‘Moneyball’? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 How to Ride the Big...
7,013 Words | 22 Pages
• Data Science - 455 Words
EMC Education Services E20-007 Data Science and Big Data Analytics Exam Exam Description Overview This exam focuses on the practice of data analytics, the role of the Data Scientist, the main phases of the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the theory and methods of advanced analytics and statistical modeling, the technology and tools that can be used for advanced analytics, operationalizing an analytics project, and...
455 Words | 2 Pages
• data mining - 842 Words
﻿ Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this 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. So, data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple...
842 Words | 3 Pages
• Data mining - 949 Words
﻿Data Mining Project – Dogs Race Prediction Motivation Gambling is very popular in the Republic of Ireland, weather is online or not, more people are joining gambling communities formed all over the Island of Ireland. The majority of these communities are involved in horse races related gambling and other sports, but there is a significant amount of people dedicated to dogs races. This is a multimillion Euro industry developed on-line and live or face to face. Objective There are many...
949 Words | 4 Pages
• Customer Data - 1596 Words
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...
1,596 Words | 5 Pages
• Data Preprocessing - 3740 Words
IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values, lacking certain attributes of interest, or containing only aggregate data • e.g., occupation=“ ”...
3,740 Words | 36 Pages
• Big Data - 3793 Words
Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed, “businesses, industries, governments, universities, scientists, consumers, and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an...
3,793 Words | 10 Pages
• Data Mining - 1603 Words
Data Mining June 1st, 2012 Predictive Analytics and Customer Behavior “Predictive analysis is the decision science that removes guesswork out of the decision-making process and applies proven scientific guidelines to find right solution in the shortest time possible.” (Kaith, 2011) There are seven steps to Predictive Analytics: spot the business problem, explore various data sources, extract patterns from data, build a sample model using data and problem, Clarify...
1,603 Words | 5 Pages
• Big Data - 476 Words
1 Big Data, Data Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10,000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional...
476 Words | 6 Pages
• data integration - 3605 Words
﻿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...
3,605 Words | 12 Pages
• Data Preprocessing - 17962 Words
Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy, missing, and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple, heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and, consequently, of the mining results? How can the data be preprocessed so as to improve the efﬁciency and...
17,962 Words | 57 Pages
• Data Collection - 1030 Words
﻿ Applying the results Knowledge and education around type one and type II diabetes permits the individual to live a productive life. Knowledge of the condition known are pre-diabetes is not largely know within the United Kingdom. The study (Troughton, Jarvisa, Skinner, Robertson, Khunti, & Davies, 2008) examines the feeling of the individual upon his or her s diagnosis of not knowing about the pre-diabetic condition. The study reviews information relating to the patients...
1,030 Words | 4 Pages
• Data mining - 1174 Words
Department of Computer Science Western Connecticut State 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...
1,174 Words | 5 Pages
• Data Mining - 989 Words
Data Mining On Medical Domain Smita Malik, Karishma Naik, Archa Ghodge, Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda, Goa, India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail, marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other...
989 Words | 4 Pages
• Big Data In Manufacturing: Market Analysis, Case Studies, And Forecasts 2014 - 2019
The manufacturing industry account for a significant share of GDP globally and represents a large ecosystem. The competition in manufacturing sector worldwide forces companies to get smarter through in-depth real time analysis of large datasets produced internally and externally for deep insight and quick decision making. To Read Complete Report with Toc: http://www.marketresearchreports.biz/analysis/186430 Big Data refers to a massive volume of structured, unstructured and...
559 Words | 4 Pages
• Databig Data and Future of Data-Driven Innovation
DataBig Data and Future of Data-Driven Innovation A. A. C. Sandaruwan Faculty of Information Technology University of Moratuwa chanakasan@gmail.com The section 2 of this paper discuss about real world examples of big data application areas. The section 3 introduces the conceptual aspects of Big Data. The section 4 discuss about future and innovations through big data. Abstract: The promise of data-driven decision-making is now being recognized broadly, and there is growing...
2,185 Words | 12 Pages
• Data Collection Method - 710 Words
the researcher used Quantitative data collection methods. Using qualitative data collection method, it rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize, compare, and generalize. Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question,...
710 Words | 3 Pages
• Big Data Issues Challenges
﻿TABLE OF CONTENT 1.0 INTRODUCTION 2 2.0 THE OBJECTIVE 2 3.0 THE ANALYSIS OF ISSUES AND CHALLENGES 2 3.1 THE ENABLER FOR ORGANIZATION 2 3.2 THE END USE 3 3.3 THE SKILLS 3 3.4 THE CAPABILITIES 4 3.5 THE DATA SOURCES 4 4.0 RECOMMENDATION 5 5.0 CONCLUSION 6 6.0 REFERENCES 7 CHALLENGES AND ISSUES IN IMPLEMENTING BIG DATA IN MALAYSIA 1.0 INTRODUCTION Every organizations are now speaking about Big Data and some has made it into practice. The initiative of harnessing data to amplify...
1,673 Words | 6 Pages
• DATA MINING (Presentation) - 714 Words
1 GROUP PRESENTATION BY: RIDA WAHID SHAFIA ASKARI DANIYAL ARSHAD 2 OUTLINE DBMS DATA MINING APPLICATIONS RELATIONSHIP 3 DATA BASE MANAGEMENT SYSTEM A complete system used for managing digital databases that allow storage of data, maintenance of data and searching data. 4 DATA MINING  Also known as Knowledge discovery in databases (KDD).  Data mining consists of techniques to find out hidden pattern or unknown information within a large amount...
714 Words | 6 Pages
• Qnt 351 Data Collection
Data Collection Data is a collection of facts that can be measured or translated. Data may consist of words, numbers, observations, descriptions of things, and measurements. Data may be qualitative or quantitative. “Qualitative data is descriptive information that describes something. Quantitative data is continuous measurements of numerical information” (Lind, Marchal, & Wathen, 2011, p. 9). Data can be collected in many ways but the simplest way is direct observation. Understanding data...
1,346 Words | 4 Pages
• Current Trends in Big Data
Rather than be blindsided by new trends, the following are four actionable insights on what we must exploit to grow. 1. The rise of easy access to cheap analytic tools will require you to rethink your business model. Miniaturization and commoditization of technology will enable you to redesign how, where and how often you capture customer data. You have a choice in this and are not the victim of what data others tell you is available. A clear example is in healthcare with Remote...
1,937 Words | 5 Pages
• Marketing Big Data - 1864 Words
Introduction Big Data is indeed a better idea. Every day, we create 2.5 quintillion bytes of data–so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: posts to social media sites, digital pictures and videos posted online, transaction records of online purchases, and from cell phone GPS signals to name a few. This data is big data. “Much like the scientific principle that we can’t observe a system without changing it,...
1,864 Words | 6 Pages
• The New Frontier: Data Analytics
﻿ The New Frontier: Data Analytics Yvonne Mitchell Strayer University Professor Raied Salman Info Syst Decision-Making January 12, 2015 The New Frontier: Data Analytics What is data analytics? How has its use in business evolved over time? What are the advantages and disadvantages of using data analytics within a specific company or industry? Are there any challenges or obstacles that business management must overcome in order to implement data analytics? If so, is there a strategy...
1,233 Words | 4 Pages
• Importance of Research Data - 14638 Words
Importance of good quality data and DATA ANALYSIS for Research Methods INTRODUCTION Conducting a survey is often a useful way of finding something out, especially when `human factors' are under investigation. Although surveys often investigate subjective issues, a well-designed survey should produce quantitative, rather than qualitative, results. That is, the results should be expressed numerically, and be capable of rigorous analysis. The data obtained from a study may...
14,638 Words | 47 Pages
• Data Scientist Career path
ASSIGNMENT 2 – RESEARCH ON SUCCESS/FAILURE IN IM Ha Nguyen Data Scientist – The New Profession in 21st Century Ha Nguyen School of Information Studies, Syracuse University 1 ASSIGNMENT 2 – RESEARCH ON SUCCESS/FAILURE IN IM Ha Nguyen The profile that I am really interested in and aspire to have is Jonathan Goldman’s profile. His career track is a typical example of a new profession in organization in twenty-one century, data scientist. Having a background in physics, with a doctorate from...
1,717 Words | 6 Pages
• Big Data Analytics - 940 Words
﻿Big data analytics is the process of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. Today you will rarely find a large retailer not using any time of data analytics on their customer data. Big data analytics aids in the understanding of the information contained within the data and it will also help identify the data that is most vital to the business and future business decisions. It has been predicted that Big Data Analytics will...
940 Words | 3 Pages
• Big Data Challenges - 1242 Words
The Big Data Challenges Lamin A Tunkara CIS 500 – Information Systems for Decision Making Dr. Edwin OTTO July 16, 2013 Abstract The paper explores the challenges of big data and the strategies deployed by Volvo Car Corporation in instituting an information technology infrastructural tool that helped the company tap into its massive data, bank to extract information for meaningful process improvements. The paper culled information from Dumbill (2012) who in an...
1,242 Words | 4 Pages
• data mining hw 3
Introduction to Data Mining Summer, 2012 Homework 3 Due Monday June.11, 11:59pm May 22, 2012 In homework 3, you are asked to compare four methods on three diﬀerent data sets. The four methods are: • Indicator Response Matrix Linear Regression to the Indicator Response Matrix. You need to implement the ridge regression and tune the regularization parameter. The material of this algorithm can be found in Page 103 to Page 106 in the book ”The Elements of Statistical Learning”...
505 Words | 3 Pages
• Data Science and Prediction - 5377 Words
Working paper CeDER-12-01 May 2012 http:// http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor, Stern School of Business Director, Center for Digital Economy Research March 29, 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge...
5,377 Words | 15 Pages
• How Big Data Is Different
FA L L 2 0 1 2 V O L . 5 4 N O. 1 Thomas H. Davenport, Paul Barth and Randy Bean How ‘Big Data’ Is Different Please note that gray areas reflect artwork that has been intentionally removed. The substantive content of the article appears as originally published. REPRINT NUMBER 54104 W I N N I N G W I T H D AT A : E S S AY How ‘Big Data’ Is Different These days, lots of people in business are talking about “big data.” But how do the potential insights from big data differ from what...
2,605 Words | 11 Pages
• Data Management Chapter 1
Chapter 1 Introduction “DEAN” Empowering the administrator/s decisions Data is emerging as a new science, a result of the unprecedented increase in the amount of digital information produced today and the realization of innovative ways to extract value from it. Technological advances in Mapua Institute of Technology (MAPUA) have led to an abundance of digital information sources that constantly generate data in managing the school, coherently the School of Information Technology(SOIT). Though...
1,166 Words | 6 Pages
• 6 Methods Of Data Collection
Monitoring, Evaluation, Accountability and Learning (MEAL) 6 Methods of data collection and analysis Keywords: Qualitative methods, quantitative methods, research, sampling, data analysis 6 Methods of data collection and analysis Introduction The quality and utility of monitoring, evaluation and research in our projects and programmes fundamentally relies on our ability to collect and analyse quantitative and qualitative data. Monitoring and evaluation plans, needs assessments,...
9,405 Words | 41 Pages
• data mining IEEE format
﻿A Paper on Data preprocessing and Measures of Similarities and Dissimilarities and Data Mining Applications DEEPAK KUMAR D R M.SC IN COMPUTER SCIENCE 3RD SEMESTER, DAVANGERE UNIVERSITY deepakrdevang@gmail.com Abstract: This topic is mainly used by a number of data mining techniques, such as clustering, nearest neighbor classification, and anomaly detection. And it can also include the data mining applications.In this paper we have focused a variety of techniques, approaches and different...
10,012 Words | 32 Pages
• big data purchasing - 898 Words
http://spendmatters.com/2014/08/19/is-big-data-really-the-next-big-thing-in-procurement/ Is Big Data Really the Next Big Thing in Procurement? August 19, 2014 Many mature procurement organizations have by now perfected how they go about strategic sourcing, leaving quite a few of us in procurement to ask what the next big thing is. Everyone is talking about big data, but sometimes we wonder what all this fuss is about. Hasn’t procurement been in the forefront of embracing large chunks of...
898 Words | 16 Pages
• Chapter 8- Secondary Data
U O G IN TC O M ES RN A LE CHAPTER 8 SECONDARY DATA RESEARCH IN A DIGITAL AGE After studying this chapter, you should be able to 1. Discuss the advantages and disadvantages of secondary data 2. Define types of secondary data analysis conducted by business research managers 3. Identify various internal and proprietary sources of secondary data 4. Give examples of various external sources of secondary data 5. Describe the impact of single-source data and...
13,156 Words | 76 Pages
• Steps Involved in Processing of Data
STEPS INVOLVED IN PROCESSING OF DATA IN RESEARCH METHODOLOGY Introduction After the collection of the data has been done, it has to be then processed and then finally analyzed. The processing of the data involves editing, coding, classifying, tabulating and after all this analyzation of the data takes place. Data Processing The various aspects of the data processing can be studied as follows 1. Editing of data: – This aspect plays a very vital role in the detection of...
1,684 Words | 6 Pages
• Overview of the Data Mining - 8497 Words
Order Code RL31798 CRS Report for Congress Received through the CRS Web Data Mining: An Overview Updated December 16, 2004 Jeffrey W. Seifert Analyst in Information Science and Technology Policy Resources, Science, and Industry Division Congressional Research Service ˜ The Library of Congress Data Mining: An Overview Summary Data mining is emerging as one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk,...
8,497 Words | 26 Pages
• Statistical Analysis - 391 Words
Essay 3 This essay provides an analysis of the variables, statistical tests and methods used in the assigned research paper. The level of significance and the strengths and limitations of the data collection process were also reviewed. This study had several variables. One major independent variable is the qualitative questionnaire that was verbally given. In this scenario the dependent variable would be the measurement of the data that was collected. The process of a cause-effect...
391 Words | 2 Pages
• Coaching Analysis - 2976 Words
Assignment one Introduction: Analysis of sports performance is of great importance to a higher performance sports coach. “Coaching is about enhancing an athlete(s) performance a principal means by which this achieved is through feedback however research as proven that human observation and memory are not reliable enough to provide the detailed information necessary to secure behavioural changes” (Franks and Miller 1986) P101. According to world renowned rugby union coach Graham Henry “A...
2,976 Words | 11 Pages
• Analysis and Interpretation - 1022 Words
Data analysis and data interpretation are closely related, but have different meanings. Lets first define the meaning of the word data. Data is defined as factual information that can be used as a basis for reasoning, discussion, or calculation. There are several different types of data. It can also be defined as information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful. Now that data has been...
1,022 Words | 3 Pages
• data mining titanic dataset
﻿ Assessment 4: Titanic dataset Submitted by: Submission date 8/1/2013 Declaration Author: Dated: 29/12/2012 Contents Business objectives: The database corresponds to the sinking of the titanic on April the 15th 1912. It is part of a database containing the passengers and crew who were aboard the ship, and various attributes correlating to them. The purpose of this task is to apply the methodology of CRISP-DM...
2,014 Words | 7 Pages
• Data Mining for Business Decisions
1. What are the business benefits of taking the time and effort required to create and operate data warehouses such as those described in the case? Do you see any disadvantages? Is there any reason that all companies shouldn’t use data warehousing technology? Information is the most important tool when making business decisions. As O’Brien and Marakas stated, “Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external...
763 Words | 3 Pages
• Global Data Analytics Outsourcing Market
﻿Global Data Analytics Outsourcing Market 2014-2018 Organizations have a tremendous amount of data in departments such as HR, procurement, production, or sales and marketing. Data analysis is required to use these data efficiently. The data analytics allows enterprises to gain insights in several fields, for instance, consumer insights, which is how customers behave, and other market-related insights. Data analytics outsourcing is the process in which organizations employ service providers to...
348 Words | 3 Pages
• Data Mining for Business Intelligence: Data Visualization and Summary Statistics
Chapter 3 – Data Visualization Chapter 4 – Summary Statistics Data Mining for Business Intelligence Shmueli, Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Data Visualization • “A picture is worth a thousand words” • Data visualization and summary statistics help condense data • Effective presentation • Supports data cleaning (identify missing values, outliers, incorrect values, duplicates) and exploring (combine some groups) • Helps identify suitable variables • Mandatory initial step for...
1,091 Words | 12 Pages
• Big Data and the Future of the Hourly Workforce
BIG DATA AND THE FUTURE OF THE HOURLY WORKFORCE Companies are pouring tens of billions of dollars into Big Data to ﬁnd patterns they can use to predict the future. How Big Data is Changing the way Operating Executives Manage their Hourly Workforce T Does Big Data Matter? hose who wonder whether Big Data is really as big of a deal as the press is making it out to be should take note of Target. To better understand how to market new products to their customers, analysts at the retailer...
2,089 Words | 7 Pages
• Data Visualisation: Impact on Decision Making
Impact of data visualization on decision quality PROBLEM DEFINITION 1.1 Purpose of the study The purpose of the study is to research the effect of data visualization on decision quality. 1.2 Context of the study Visuals have been used for centuries, saying a picture is worth more than a thousand words proves this. From geographical maps to stock prices, data visualization is widely used to represent information visually. In BI, due to the increasing trend into data...
1,945 Words | 7 Pages
• Data Mining for Business Intelligence: An Overview
Overview: Chapter 2 Data Mining for Business Intelligence Shmueli, Patel & Bruce Core Ideas in Data Mining Classification Prediction Association Rules Data Reduction Data Visualization and exploration Two types of methods: Supervised and Unsupervised learning Supervised Learning Goal: Predict a single “target” or “outcome” variable Training data from which the algorithm “learns” – value of the outcome of interest is known Apply to test data where value is not known and will be...
1,101 Words | 9 Pages
• Data Mining - Chapter 2 questions
﻿2.1 Assuming that data mining techniques are to be used in the following cases, identify whether the task required is supervised or unsupervised learning. a. Supervised-Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). b. Unsupervised-In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. c....
362 Words | 1 Page
• Secondary research data in a digital age
Secondary research data in a digital age Advantages of secondary data. 1. Availability. Is faster and less expensive when researchers use electronic retrieval to access data stored digitally. 2. Money and time are some things that researchers need to save up and when they can access to the information in such a short amount of time and for free, they can be using that extra time and money in some other things 3. Secondary data are essential in instances when data simply cannot be...
460 Words | 2 Pages
• Big Data Architecture, Goals and Challenges
﻿ Big Data Architecture, Goals and Challenges Cipson Jose Chiriyankandath Dakota State University Abstract Big Data inspired data analysis is matured from proof of concept projects to an influential tool for decision makers to make informed decisions. More and more organizations are utilizing their internally and externally available data with more complex analysis techniques to derive meaningful insights. This paper addresses some of the architectural goals and challenges for Big Data...
2,200 Words | 8 Pages
• Group Paper Boston Housing Data
﻿ Hands-on Group Excel Project April 16, 2014 Camesha Vera, Nadia Ferrari, Shuo Sun, Jiashun Hu, Siddhant Dutt, YuXin Xing Alliant University IST 6010 Professor Kumar The US Census Service is need of analysis for some recently released data, pertaining to housing in the Boston Massachusetts area. The reports generated from this analysis will be completed using an Excel spreadsheet. Excel features calculations, graphing tools, pivot tables, “what if “ scenarios, along with...
962 Words | 11 Pages
• Unit 217 Organise and Report Data
Understand How to Organise and Report Data That Has Been Researched. 1.1 Describe different ways of organising data that has been researched. Data is a group of information that are used for various purposes like analysis, evaluations and to arrive at certain results or conclusions. Data reporting is a process where data is extracted form a source or many sources and then converted into a format that can be used for a purpose. It is usually presented in the form of a report in tables,...
2,343 Words | 8 Pages
• Benefits of Fleet Management Data Integration
Benefits of Fleet Management Data Integration NAME DBM 502 University of Phoenix Benefits of Fleet Management Data Integration Abstract Huffman Trucking maintains extensive vehicle fleet maintenance logs, with data on vehicles, parts, tires, maintenance, warranty, costs and dates of service. Management wants to know whether it would be strategically advisable to integrate this information into their current data warehouse and how to leverage it. Investigation shows that there could be...
1,069 Words | 4 Pages
• EEROR AWARE MINING WITH BIG DATA
﻿ERROR AWARE MINING WITH BIG DATA K.Aishwarya Information Technology, Vivekanandha College of Enginnering for Women - Anna University Elayampalayam, Thiruchengode-637 205, Namakkal Dt, Tamil Nadu, India aishwaryait13@gmail.com Abstract— Big Data is used to identify the datasets that due to their large size and complexity, we can not manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large...
5,221 Words | 17 Pages
• Special Report on Big Data by Ibm
SPECIAL REPORT Big Data AnalyticsDeep Dive Deriving Meaning From the Data Explosion © Copyright InfoWorld Media Group. All rights reserved. Sponsored by i Big Data AnalyticsDeep Dive Making sense of big data New analysis tools and abundant processing power unlock critical insights from unfathomable volumes of corporate and external data i By David S. Linthicum THE ABILITY TO DERIVE MEANING quickly from huge quantities of structured and unstructured data has been...
3,550 Words | 20 Pages
• Data Mining-East West Airlines
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642 Words | 6 Pages
• Use of Data Mining in Fraud Detection
﻿ Use of Data Mining in Fraud Detection Focus on ACL Hofstra University Abstract This paper explore how business data mining software are used in fraud detection. In the paper, we discuss the fraud, fraud types and cost of fraud. In order to reduce the cost of fraud, companies can use data mining to detect the fraud. There are two methods: focus on all transaction data and focus on particular risks. There are several data mining software on the market, we...
2,376 Words | 8 Pages
• CLUSTER ANALYSIS: ALGORITHMS AND ANALYSIS USING SAS
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10,565 Words | 450 Pages
• Analysis of Two Way Table
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6,239 Words | 24 Pages
• Review of Statistical Analysis - 7427 Words
Frankfort Review Chapter-01.qxd 5/13/2005 12:20 PM Page 1 A Review of Descriptive Data Analysis Descriptive Data Analysis for Nominal Variables: Gender and Local Political Party Activism Organize the Data into a Frequency Distribution Display the Data in a Graph Describe What Is Average or Typical of a Distribution Describe Variability Within a Distribution Describe the Relationship Between Two Variables Descriptive Data Analysis for Ordinal Variables: Continuing Our...
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• Regression Analysis for Sanitary napkin
﻿Regression Modeling for Brand Xmarcom Strategy Analytical approach using Tracking Research data Approach: The analysis of brand Sofy has been done with a two stages of statistics and model building approach. MATRIX IDENTIFICATION At the very first stage the data for Sofy was plotted in scatter graphs for pattern identification. The various combinations of variables for independent and dependent variables were taken to shortlist the variables for further scientific tests. TEST AND...
980 Words | 4 Pages
• NUR518 Qualitative study Analysis
﻿ Qualitative Research Article Analysis Stacey Simmons NUR/518 Date: April, 3, 2014 Margaret L. Colucciello, PhD, RN Qualitative Research Article Analysis Nursing Article: Thornburg, P., Myers, S, Paige, V. & Grubaugh, K. (2008). Nurses' experiences of caring while letting go. Journal of Hospice and Palliative Nursing, 10 (6), 382-391. Purpose is Stated, Research Design Method is Analyzed Purpose: The researchers of this study proposed to “expand what is known about the meaning of...
1,513 Words | 5 Pages
• Statistical Analysis and Application of Charts
Statistical Analysis and Application of Charts Presented To: Mam Ayesha IftikharPresented By: Hassan Bashir Roll Number: bba02141016 Program : BBA Semester : 2nd Date: 19-Oct-2014 Research Questionnaire/ Objective: Analysis of quantitative and qualitative data Uses of appropriate charts under the specific/general scenario. To ensure that statistical tools are the important for decision making. Type of Data: Quantitative Data Qualitative data Quantitative Data: Quantitative...
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• Visual Analysis of Social Media
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4,514 Words | 21 Pages
• Greaves Brewery Case Analysis
Greaves Brewery Case Analysis Greaves Brewery: Bottle Replenishment Case Analysis Case Synopsis The following is an analysis of the case, Greaves Brewery: Bottle Replenishment. It details the growing beer operation of Greaves Brewery located in the Caribbean island of Trinidad. The purchasing manager for the company, Alex Benson, is uncertain about how many bottles to order from the company’s German glass supplier. His decision is complicated by the possibility of a new bottle design...
1,457 Words | 8 Pages
• Principal Component Analysis - 2127 Words
To appear in: Moutinho and Hutcheson: Dictionary of Quantitative Methods in Management. Sage Publications Principal Components Analysis Introduction Principal Components Analysis (PCA) attempts to analyse the structure in a data set in order to define uncorrelated components that capture the variation in the data. The identification of components is often desirable as it is usually easier to consider a relatively small number of unrelated components which have been derived from the data...
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• Analysis Tools Comparison - 1973 Words
Analysis Tools Comparison: R Language, Matlab, esProc, SAS, SPSS, Excel, and SQL The interactive analysis is a circular analytics procedure comprising assumption, verification, and calibration by the analyst to achieve the fuzzy computation goal. For specifics and details, please refer to another article I composed: Interactive Analysis and Related Tools. Because there are so many tools for interactive analysis that not everyone can know all of them, I will only focus on and compare the...
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• Research Design: a Content Analysis
Research Design Content analysis is a process in which narrative data are divided into units of analysis to examine the contents of a particular body of material for the purpose of identifying patterns, themes or biases (Leedy and Ormrod, (2005). Further, qualitative content analysis has been defined in other ways such as: • “a research method for the subjective interpretation of the content of text or [narrative] data through the systematic classification process of coding...
1,412 Words | 6 Pages
• Global Smart Grid Data Analytics Market
﻿Global Smart Grid Data Analytics Market 2015-2019 Data management had not been a major concern for the power utilities in the past and customer-related fields such as metering and billing were the only data-intensive elements prior to the development of smart grids. To improve the amount as well as the quality of data, SCADA and AMI systems were introduced, which ultimately enhanced the quality of data. With the rapid development of smart grids and smart grid-related equipment and solutions,...
327 Words | 2 Pages
• Development of Data Processing Algorithm for Mobile Application
﻿Introduction Today, in the present world of new and advance technologies, mobile devices such as smartphones are rapidly emerging and the demands for this devices are twice as fast as its emerging. One of the ingredients or reasons that make this devices so demanded are its uses through the applications installed in this devices. In this time there are millions of it. Most of this applications are made with the different types of algorithms and this is the reasons behind the success of this...
12,464 Words | 43 Pages
• 4 Critical Success Factors to Cleansing Data
4 Critical Success Factors to Cleansing Data Abstract: This article briefly recaps the value of quality data in the supply chain and the challenges with today’s automated mass sharing of information with internal and external customers. This article addresses how we all got here and what we can do about it. There are four critical success factors of 1) Scope, 2) Team, 3) Process and 4) Technology and this article will give you the stepping stones to be successful in cleaning your...
2,574 Words | 8 Pages
• UPOX Data Analytics Paper Week 5 11
﻿Carolyn Y. Lynch BSA/310 Analytics of Data Analytics of data allows you to inspect big data, to uncover pattern and other information, which can be transformed into useful information to help decision making easier. You can approach data analytics though multiple avenues by using different diverse techniques. The analytics of data is relevance to this week’s assignment, because for the past few weeks our team has collected and store data on Riordan Manufacturing, we now need to analyze...
321 Words | 2 Pages
• Critical Analysis of a Metasynthesis Qualitative Study
﻿ Critical Analysis of a Metasynthesis Qualitative Study Focused on Adult Traumatic Brain Injury Patients Jaime Westfall Grand Canyon University Traumatic Brain Injury Worldwide Traumatic Brain Injury (TBI) is a problem that affects humans on every continent where humans have established societies. According to Levack et al (2010) worldwide there are approximately ten million individuals whose death or hospitalization are caused by TBI annually. This study originated in...
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• Store 24A - Case Analysis Study
﻿2. Spreadsheet Errors: What we think we can do What we know? 1. What are the leading causes of Spreadsheet errors? The leading causes of spreadsheet errors are a) Human incapability of doing complex cognitive tasks with accuracy, this is a limitation in human capability and this contributes partly to the errors that are caused in spreadsheets b) Lack of disciplined development practices is one of the most common reasons why spreadsheet contains errors. Many organization has policies in...
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• Genetic Algorithms and Rule Induction Analysis
Genetic Algorithms and Rule Induction Analysis Data mining is a data analyzing process that analyzes the data from different aspects and summarizes it into useful information that can be used to increase revenue and cost cuts (Data Mining: What is Data Mining? 2012). Data mining has different levels of analyzing. Genetic algorithms and rule inductions are two of the six different levels of analysis. Genetic algorithms are techniques that use genetic mutation, combination, and natural selection...
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• Carnival Cruise Lines Case Analysis
Carnival Cruise Lines is the largest cruise company in North America and carries more than 60,000 passengers a week. The Carnival experience is the standard against what past cruisers judge their later cruise experiences. Carnival has captured the "fun" psychographic and has a strong reputation for an enjoyable, relaxed cruise. Furthermore, Carnival has a strong market expansion strategy for selling the mass-market cruise category and first-time cruisers. They have a clear vision and knowledge...
1,259 Words | 4 Pages
• What is Sentiment Analysis and Why is it Important for your business
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• An Analysis on the Effectiveness of Malaysia Current Recycling Campaign.
1.0 Introduction 1.1 Background Macmillan English Dictionary defines recycling as “the process of treating waste materials such as newspaper and bottles so that they can be used again”. Beside paper and bottles there have lots of recyclable items such as aluminum cans, scrap metals, plastic and printer cartridges. Recycling saves energy and reduces pollution and would help slow down global climate change. The history of recycling is started nearly 4000 years ago, there was a recovery and...
3,182 Words | 11 Pages
• A critical Analysis of Contemporary Racism in Australia: The Experiences of Aborigines
Assessment Task 2 TITLE A critical analysis of “Contemporary Racism in Australia: The Experiences of Aborigines” INTRODUCTION This assessment was based on David Mellor’s report “Contemporary Racism in Australia: The Experiences of Aborigines. David’s report shows that in recent years contemporary racism still as a serious problem than it had been in last several years and also gives a research about this phenomenon. This article would analyse David Mallor’s research critically from three main...
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• A Qualitative Analysis Report on an Employee's View of Performance Appraisal
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4,214 Words | 16 Pages
• An Analysis on Language Style Used in Too Fast Too Furious Movie
Title: An Analysis of the Language Style Used in “two fast and too furious” film. Fields: sociolinguistics A. Background of the Study Too fast and too furious film is one of the most amazing films in 2003 year. This film was directed by John singleton. He is a famous director in the world. He had been directing many films. This film was become a winner by many awards held in Hollywood, such as BMI film music award in 2004, breakthrough male performance 2003, won teen choice...
2,896 Words | 12 Pages
• Fast and Robust Fixed-Point Algorithms for Independent Component Analysis
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8,254 Words | 25 Pages
• Tantan Xie Luminar Case
﻿Luminar: Leveraging Big Data Using Corporate Entrepreneurship Background: US Broadcasting Industry: The US media industry was the second largest market around world at \$255.1 billion and was forecast to grow at a compound annual growth rate of 2.3 percent till 2017. Within the media industry, broadcasting and TV was the largest category with a market of \$142.6 billion. The industry players were competing mainly with one another for viewership to drive advertising revenue which was the...
3,632 Words | 11 Pages
• IBM SPSS Statistics 19 Brief Guide
i IBM SPSS Statistics 19 Brief Guide Note: Before using this information and the product it supports, read the general information under Notices on p. 158. This document contains proprietary information of SPSS Inc, an IBM Company. It is provided under a license agreement and is protected by copyright law. The information contained in this publication does not include any product warranties, and any statements provided in this manual should not be interpreted as such. When you send...
25,868 Words | 100 Pages
• Analytics competitor - 1063 Words
Introduction Analytics competitors are define as strategic technique used to evaluate outside competitors. The analysis seeks to identify weaknesses and strengths that a company's competitors may have, and then use that information to improve efforts within the company. An effective analysis will first obtain important information from competitors and then based on this information predict how the competitor will react under certain circumstances (http://www.businessdictionary.com) All...
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• Bacnkdt - 5588 Words
Chapter 4. Dimension Reduction In this chapter we describe the important step of dimension reduction. The dimension of a dataset, which is the number of variables, must be reduced for the data mining algorithms to operate efficiently. We present and discuss several dimension reduction approaches: (1) Incorporating domain knowledge to remove or combine categories, (2) using data summaries to detect information overlap between variables (and remove or combine redundant variables or...
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• proje - 279 Words
﻿1)It is applied to predict backhoe loader sales number. Make a guess about how much backhoe loader will be sold, provides us to assist managing inventories specifically, to be gained a vision for marketing department and sales engineers, to be planned a strategy by Managers. 2) The quarters has been assigned time periods. Each quarters corresponds to different months 3) In order to implement seasonal exponential smoothing to this data, we have to follow this steps. 4) In this step, in...
279 Words | 1 Page