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Articles 1 - 8 of 8
Full-Text Articles in Business Intelligence
Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An
Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An
Atlantic Marketing Association Proceedings
No abstract provided.
The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman
The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman
Finance, Economics, and Data Analytics
The fraudulent claims for Unemployment Insurance (UI) have also risen massively in the United States especially during the onset of COVID-19 pandemic with billions of dollars that were lost. These approaches applied formerly in fraud detection and prevention have been challenged by new and advanced fraud systems. For this reason, AI, Big Data and Predictive Analytics are now crucial for improving fraud mitigation in UI programs. The aim of this research is to understand how far AI, Big Data and Predictive Analytics have been utilized, for how effective they are and the barriers they pose in tackling unemployment insurance fraud …
The Importance Of Agile Reporting Methods In A Retail Sales Environment, Katie Haefner
The Importance Of Agile Reporting Methods In A Retail Sales Environment, Katie Haefner
Information Systems Undergraduate Honors Theses
The primary objective of this project is to understand the importance of agile reporting methodologies for a retail sales team. Data has proven to be very vital for businesses to use and understand. In software systems that serve as data warehouses, it is expected that value be provided at each iteration within the system. This includes all the measurements, metrics, and reports. Agile reporting effects the way that data is utilized within a company. This paper looks at some of ways that value can be added when companies focus on ways to consolidate and standardize data as well as make …
A Method For Monitoring Operating Equipment Effectiveness With The Internet Of Things And Big Data, Carl D. Hays Iii
A Method For Monitoring Operating Equipment Effectiveness With The Internet Of Things And Big Data, Carl D. Hays Iii
Master's Theses
The purpose of this paper was to use the Overall Equipment Effectiveness productivity formula in plant manufacturing and convert it to measuring productivity for forklifts. Productivity for a forklift was defined as being available and picking up and moving containers at port locations in Seattle and Alaska. This research uses performance measures in plant manufacturing and applies them to mobile equipment in order to establish the most effective means of analyzing reliability and productivity. Using the Internet of Things to collect data on fifteen forklift trucks in three different locations, this data was then analyzed over a six-month period to …
Dynamic Logistics Enabled By Iot, Madeline K. Conner
Dynamic Logistics Enabled By Iot, Madeline K. Conner
Honors College Theses
The implementation of Internet of Things technology is becoming increasingly popular in the logistics industry due to its promise of valuable payoffs. The benefits will span across the entire logistics value chain, and benefits from IoT implementation will also impact areas such as operational efficiency, safety, security, and customer experience, while redesigning traditional business models. This report specifically focuses on creating a dynamic logistics system using the Internet of Things. The findings of this report focus on the associated cost savings between traditional logistics systems, and a daily dynamic model enabled by IoT technology. By applying IoT to logistics operations …
Digital Forensic Tools & Cloud-Based Machine Learning For Analyzing Crime Data, Majeed Kayode Raji
Digital Forensic Tools & Cloud-Based Machine Learning For Analyzing Crime Data, Majeed Kayode Raji
College of Graduate Studies: Theses & Dissertations
Digital forensics is a branch of forensic science in which we can recreate past events using forensic tools for legal measure. Also, the increase in the availability of mobile devices has led to their use in criminal activities. Moreover, the rate at which data is being generated has been on the increase which has led to big data problems. With cloud computing, data can now be stored, processed and analyzed as they are generated. This thesis documents consists of three studies related to data analysis. The first study involves analyzing data from an android smartphone while making a comparison between …
Big Trends In Big Data: Four Ways Businesses And Individuals Are Becoming Masters Of Information
Big Trends In Big Data: Four Ways Businesses And Individuals Are Becoming Masters Of Information
Business Exchange
Big data is composed of fragments of our lives ensconced in digital code. Businesses that will thrive will realize that value and convenience to the consumer is at the center of the big data revolution. The prevailing trends in big data are 1)data security is everyone's job, 2) this is the age of the quantified self, 3) big data is being used to improve business operations, and 4) there is an emerging cadre of business technologists.
Innovationspotenzialanalyse Für Die Neuen Technologien Für Das Verwalten Und Analysieren Von Großen Datenmengen (Big Data Management), Volker Markl, Alexander Löser, Thomas Hoeren, Helmut Krcmar, Holmer Hemsen, Michael Schermann, Matthias Gottlieb, Christoph Buchmüller, Philip Uecker, Till Bitter
Innovationspotenzialanalyse Für Die Neuen Technologien Für Das Verwalten Und Analysieren Von Großen Datenmengen (Big Data Management), Volker Markl, Alexander Löser, Thomas Hoeren, Helmut Krcmar, Holmer Hemsen, Michael Schermann, Matthias Gottlieb, Christoph Buchmüller, Philip Uecker, Till Bitter
Faculty Book Gallery
Durch die Digitalisierung von Wirtschaft und Gesellschaft ist ein rasantes Anwachsen von Datenbeständen zu beobachten. In fast allen Unternehmenssowie Wissenschaftsbereichen werden bereits heute schon Unmengen an Daten erzeugt, deren Größe, Erfassungsgeschwindigkeit oder Heterogenität die Fähigkeiten gängiger Datenbanksoftwareprodukte zur Verwaltung und zur Analyse übersteigt. Dieses Phänomen, welches unter dem Schlagwort „Big Data“ popularisiert wurde, stellt eine große Chance für Unternehmen, Wissenschaft und Gesellschaft dar. Allerdings ergibt sich aufgrund der neuen Komplexität der Daten und Analysen eine Vielzahl an Herausforderungen technischer, wirtschaftlicher und rechtlicher Natur. Diese Studie analysiert die Chancen und Herausforderungen von Big Data insbesondere im Hinblick auf eine nachhaltige Wettbewerbsfä- …