Business Intelligence Commons^™

Saving Lives With Effective Data Visualization: Evaluating The Effectiveness Of Indiana’S Driver Education Curriculum, Aditi Vatse, Amratansh Sharma, Matthew A. Lanham Prof.

Engagement & Service-Learning Summit: Connecting Through Listening & Scholarship

No abstract provided.

Dos And Don'ts Of Data Science, Ryan Burton

SDSU Data Science Symposium

In an ideal world, we avoid all mistakes in our work. Some mistakes are preventable and others are unavoidable. A few common mistakes in data science that can be minimized include assuming correlation implies causation, modeling with an unrepresentative sample, and focusing on the mean without understanding the distribution. This talk will give an overview of some of the simple yet common mistakes in data science and guidance on how to avoid them.

General Mental Ability And Goal Type As Antecedents Of Recurrent Adaptive Task Performance, Michael D. Howe

Management Publications

Even though considerable work has demonstrated a robust positive relationship between general mental ability (GMA) and task performance, recent work indicates that the expected relationship may not hold in the context of adaptive performance. By integrating the concept of choking, or performing worse than expected, with goal theory, the present work advances a theoretical framework aimed at furthering our understanding of how and when GMA is most likely to meaningfully impact performance. Drawing on this perspective, we propose that the relationship between GMA and adaptive performance is uniquely dependent on the type of goal individuals are striving to achieve. Additionally ...

Social Justice, Numeracy, And Teaching Statistics At A Community College, Edward Volchok

Numeracy

The author of this article reflects on the issues of justice, democracy, and numeracy. As one who has taught statistics in a community college for over 12 years, spent 28 years as a Marketing Consultant, and holds a PhD in political science, the author’s thesis is that while an advanced, democratic society can only be just with a numerate citizenry, fostering numeracy is not easy. In this article the author describes the daunting tasks of trying to define what justice is and reviews activities from his statistics class that help students develop their numeracy.

Exploring Critical Success Factors For Data Integration And Decision-Making In Law Enforcement, Marquay Edmondson, Walter R. Mccollum, Mary-Margaret Chantre, Gregory Campbell

International Journal of Applied Management and Technology

Agencies from various disciplines supporting law enforcement functions and processes have integrated, shared, and communicated data through ad hoc methods to address crime, terrorism, and many other threats in the United States. Data integration in law enforcement plays a critical role in the technical, business, and intelligence processes created by users to combine data from various sources and domains to transform them into valuable information. The purpose of this qualitative phenomenological study was to explore the current conditions of data integration frameworks through user and system interactions among law enforcement organizational processes. Further exploration of critical success factors used to ...

Inside The Black Box Of Dictionary Building For Text Analytics: A Design Science Approach, Qi Deng, Michael J. Hine, Shaobo Ji, Sujit Sur

Journal of International Technology and Information Management

The purpose of this paper is to develop and demonstrate a dictionary building process model for text analytics projects following the design science methodology. Using inductive consensus-building, we examined prior research to develop an initial process model. The model is subsequently demonstrated and validated by using data to develop an environmental sustainability dictionary for the IT industry. To our knowledge, this is an initial attempt to provide a normalized dictionary building process for text analytics projects. The resulting process model can provide a road map for researchers who want to use automated approaches to text analysis but are currently prevented ...

A Systematic Review Of Process Modelling Methods And Its Application For Personalised Adaptive Learning Systems, Kingsley Okoye

Journal of International Technology and Information Management

This systematic review work investigates current literature and methods that are related to the application of process mining and modelling in real-time particularly as it concerns personalisation of learning systems, or yet still, e-content development. The work compares available studies based on the domain area of study, the scope of the study, methods used, and the scientific contribution of the papers and results. Consequently, the findings of the identified papers were systematically evaluated in order to point out potential confounding variables or flaws that might have been overlooked or missing in the current literature. In turn, a critical structured analysis ...

Secured Data Masking Framework And Technique For Preserving Privacy In A Business Intelligence Analytics Platform, Osama Ali

Electronic Thesis and Dissertation Repository

The main concept behind business intelligence (BI) is how to use integrated data across different business systems within an enterprise to make strategic decisions. It is difficult to map internal and external BI’s users to subsets of the enterprise’s data warehouse (DW), resulting that protecting the privacy of this data while maintaining its utility is a challenging task. Today, such DW systems constitute one of the most serious privacy breach threats that an enterprise might face when many internal users of different security levels have access to BI components. This thesis proposes a data masking framework (iMaskU: Identify ...

Machine Learning The Harness Track: A Temporal Investigation Of Race History On Prediction, Robert P. Schumaker

Journal of International Technology and Information Management

Machine learning techniques have shown their usefulness in accurately predicting greyhound races. Many of the studies within this domain focus on two things; win-only wagers and using a very particular combination of race history. Our study investigates altering these properties and studying the results. In particular we found a race history combination that optimizes our S&C Racing system’s predictions on seven different wager types. From this, S&C Racing posted an impressive 50.44% accuracy in selecting winning wagers with a payout of $609.34 and a betting return of $10.06 per dollar wagered.

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in ...

Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote

Journal of International Technology and Information Management

This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS™ Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.

Table Of Contents Jitim Vol 27 Issue 3, 2018

Journal of International Technology and Information Management

Table of Contents

The State Of The Video Game Industry And Potential Implications Of Current Business Practices, Stephen Friend

Georgia Undergraduate Research Conference (GURC)

The State of the Video Game Industry and Potential Implications of Current Business Practices

Stephen J. Friend - Stephenfri89@gmail.com

• Student at South Georgia State University

Abstract

This study aims to highlight the state of the video game industry by examining “AAA” (triple A) development studios and publishing companies and their business structure along with their implementation of microtransactions and other monetary schemes. The fiscal returnings and statistic quarterly updates provided by GameIndustry.biz, GameRant, and Newzoo show companies such as Ubisoft and Electronic Arts(EA) are making more than 51% of their annual income from microtransactions. In conjunction, the ...

Analysis Of Stock Price Movement Following Financial News Article Release, Robert P. Schumaker, Nick Maida

Communications of the IIMA

What effect does a financial news article have on stock price? To answer this question we investigate stock price movements within the minutes following financial news releases, broken down by media outlet, time of release and article sentiment. Our data shown a Sharpe ratio (a measure for calculating risk-adjusted return) of 1.18 versus a random dataset of ‑0.06, indicating significant price movement immediately following article release. Second, we found that articles released through WSJ, Reuters – UK Focus, NYT and FT all experienced significant positive returns, whereas articles in Barrons, MarketWatch, Forbes and Bloomberg experienced significant negative returns. Third ...

Optimizing Strategic Sourcing In The Healthcare Supply Chain With Consideration Of Physician Preference And Vendor Scorecards, Parimal Kulkarni

Dissertations

This research focuses on the design of a procurement model for expensive medical supplies in a healthcare supply chain. A deterministic optimization model generates recommendations for optimal purchases of products in a given planning period. The model combines common concepts of supply chain procurement such as leveraging tiered pricing, ensuring supply base diversity with phenomena unique to healthcare supply chain such as consideration of physician preference for products. The deterministic optimization model minimizes total spend over a chosen planning period with consideration of four key decision parameters:

• Physician preference requirements (which are imposed as rules on product substitutability),
• Upper limits ...

Statistical Analysis, Data Visualization, And Business Intelligence Tools For Electronic Resources In Academic Libraries, Cheng Cheng, Tracy J. Gilmore, Colleen Lougen, Connie Stovall

Charleston Library Conference

Analytics, business intelligence, and data visualization have an increasingly important space in the changing assessment landscape of academic libraries. Today, most academic libraries are spending a significant amount of their total expenditure budget on electronic resources. While they are high-value assets for modern libraries, the expensive annual subscription cost and continuing price increases of e-resources also make them a substantial budgeting burden. It is therefore essential to have a clear statistical view of the trends and patterns in price changes for e-resources and vendors. This paper focuses on three major topics vital for developing such a view: first, the e-resources ...

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that ...

Information Seeking Behavior Of Research Scholars At Muet Library & Online Information Center, Jamshoro: A Study, Liaquat Ali Rahoo Mr, Muhammad Ali Khan Nagar, Maryam Kalhoro, Qurat-Ul-Ain Abro, Shadab Kalhoro

Library Philosophy and Practice (e-journal)

The aim of this paper was to study the behavior of the information seeking by the researcher scholars of the at Mehran University of Engineering & Technology, Jamshoro, Sindh Pakistan. The overall purpose of the research study was to find out the awareness and information requirements by the researcher for the research purposes which were provided by the Higher education commission digital library. The data was collected from 230 researchers with the help of questionnaire through the Google online form. Data was analyzed in SPSS software. Research findings were majority of researchers were use electronics resources, text books and reference books ...

Consumer Welfare And Price Discrimination: A Fine Line, Marie Wallmark, Eyal Greenberg, Dan Engels

SMU Data Science Review

Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willing to pay, but with the availability of big data and the deployment of sophisticated algorithms, with a great degree of precision businesses can ascertain the maximum willingness price. Some forms of price discrimination are prohibited under the Robinson-Patman Act of Antitrust (1890), provided demographic characteristics such as race and gender are the determining factors. The problem with this interpretation is that sellers are not transparent about what factors are taken into consideration when determining price. Current laws are either limited in their interpretation or ...

How Has The Food Industry Manipulated The Way Consumers Perceive Food And Health?, Angelina Garavente

Honors College Theses

Food is the most advertised commodity in the United States and food corporations spend on average over $36 billion a year on marketing and advertising (Albritton 172). Seventy percent of total advertising goes to market convenience foods, candy, snacks, soft drinks, desserts and alcohol (Albritton 172). As a result of the wide range of marketing on an even wider range of products, consumers have been taught to feel they have a considerable amount of choice. Ironically despite the array of brand-name commodities that give off this impression, only a few giant corporations control much of what is being offered.