Data analysis Essays & Research Papers

Best Data analysis Essays

  • 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
  • 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
  • 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
  • All Data analysis Essays

  • 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
  • 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
  • Research Planning: Data Collection and Analysis
    Research Planning Paper University of Phoenix - RES 728 Research Planning Paper Funding for domestic violence shelters in Sebastian County, Arkansas has decreased with the decline of the state’s economy beginning in 2010, when most manufacturing jobs were outsourced to foreign countries. Funding now primarily comes from private and non-profit sponsors and donors. This change in funding has brought about the need to be responsive to the wants and needs of not only the victims but also of the...
    1,352 Words | 4 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
  • 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 - 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 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
  • 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
  • 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
  • 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 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
  • 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
  • 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
  • Big Data in Companies - 2779 Words
    big data[1][2] is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. Big data (also spelled Big Data) is a general term used to describe the voluminous amount of unstructured and semi-structured data a company creates -- data that would take too much time and cost too much money to load into a relational database for analysis. Although Big data doesn't refer to any specific...
    2,779 Words | 8 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
  • 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
  • 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
  • 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
  • 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
  • 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 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
  • 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
  • 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
  • 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
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