Experience

Publications

• Best Practices for Logistics Analytics

  ATHENS INSTITUTE FOR EDUCATION AND RESEARCH 13th Annual International Conference

  Analytics and the supply chain are topics important to every organization. How to get optimal value from the supply chain drives decisions across organizations both large and small. Within supply chains, logistics enables goods to move through raw material providers, manufacturing, distribution and reach the end consumer. Being such a widely used process motivates the researchers to examine the full-truck-load logistics part of the supply chain from an analytical perspective and attempt to determine best practices for gaining optimal value that can be utilized across the entire supply chain. Transformative analytics techniques, such as multivariate regression modeling, forecasting, and others enable logistics managers to better understand the factors that go into the cost of logistics services, and thus impact decisions made to enhance value through the supply chain. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

• Best Practices for Logistics Analytics

  ATHENS INSTITUTE FOR EDUCATION AND RESEARCH 13th Annual International Conference

  Analytics and the supply chain are topics important to every organization. How to get optimal value from the supply chain drives decisions across organizations both large and small. Within supply chains, logistics enables goods to move through raw material providers, manufacturing, distribution and reach the end consumer. Being such a widely used process motivates the researchers to examine the full-truck-load logistics part of the supply chain from an analytical perspective and attempt to determine best practices for gaining optimal value that can be utilized across the entire supply chain. Transformative analytics techniques, such as multivariate regression modeling, forecasting, and others enable logistics managers to better understand the factors that go into the cost of logistics services, and thus impact decisions made to enhance value through the supply chain. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

• Information Security Analysis on Breaches: Data Envelopment Analysis

  Decision Sciences Institute

  Information security is an ever-growing field that requires constant attention in just about every industry today. Our study analyzes information security breaches that occur in companies using data envelope analysis (DEA). In particular, we applied a DEA model with constant returns-to-scale, which could handle undesirable outputs such as information security breaches, to the data set. When we controlled industry capital, we found that the retail financial/banking industries were relatively inefficient for dealing information security breaches. The major limitation of this study is the availability of data on security breaches. Further studies are necessary for in-depth analyses.

• Best Practices for Logistics Analytics

  ATHENS INSTITUTE FOR EDUCATION AND RESEARCH 13th Annual International Conference

  Analytics and the supply chain are topics important to every organization. How to get optimal value from the supply chain drives decisions across organizations both large and small. Within supply chains, logistics enables goods to move through raw material providers, manufacturing, distribution and reach the end consumer. Being such a widely used process motivates the researchers to examine the full-truck-load logistics part of the supply chain from an analytical perspective and attempt to determine best practices for gaining optimal value that can be utilized across the entire supply chain. Transformative analytics techniques, such as multivariate regression modeling, forecasting, and others enable logistics managers to better understand the factors that go into the cost of logistics services, and thus impact decisions made to enhance value through the supply chain. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

• Information Security Analysis on Breaches: Data Envelopment Analysis

  Decision Sciences Institute

  Information security is an ever-growing field that requires constant attention in just about every industry today. Our study analyzes information security breaches that occur in companies using data envelope analysis (DEA). In particular, we applied a DEA model with constant returns-to-scale, which could handle undesirable outputs such as information security breaches, to the data set. When we controlled industry capital, we found that the retail financial/banking industries were relatively inefficient for dealing information security breaches. The major limitation of this study is the availability of data on security breaches. Further studies are necessary for in-depth analyses.

• Building an Analytics Solution for Climate Change Economic Impact on Crop Production

  Athens Institute for Education and Research Annual International Conference

  Climate change is a very timely topic, and as such our research group has decided to examine the relationship between climate change and crop production within the 48 contiguous United States as identified by various datasets outlined in our paper. After a yearlong search and many missteps, we have discovered data sets which we believe fit our needs for this research. Our approach is to use the Tableau® ecosystem of software to perform an extract, transform and load (ETL) of the datasets to create an initial set of data visualizations. These dashboards will be launched on Tableau Public® and linked to the Central Connecticut State University Website, once they are finalized. The journey to creating the necessary data for analysis was fraught with many wrong turns, which included accessing data which initially we thought was promising but did not meet the needs of our analysis. Many of the issues we encountered were big data problems with one dataset topping out at 2.2 trillion records. The analysis has demanded new technology and new vision to analyze the data. That is presented in our paper, with the hope of paving the way so other researchers can learn from our journey. Aside from learning from our journey, we will provide a literature foundation on why we chose this topic as well as the future of this research and what to expect from the visualizations and statistics. The above issues present unique challenges which we discuss in our paper and presentation. Our goal of presenting at the ATINER Conference is to get substantive feedback which will allow us to further the research of the economic impact of climate change and give guidance to crop growers regarding strategic implementation of types of crops

• Best Practices for Logistics Analytics

  ATHENS INSTITUTE FOR EDUCATION AND RESEARCH 13th Annual International Conference

  Analytics and the supply chain are topics important to every organization. How to get optimal value from the supply chain drives decisions across organizations both large and small. Within supply chains, logistics enables goods to move through raw material providers, manufacturing, distribution and reach the end consumer. Being such a widely used process motivates the researchers to examine the full-truck-load logistics part of the supply chain from an analytical perspective and attempt to determine best practices for gaining optimal value that can be utilized across the entire supply chain. Transformative analytics techniques, such as multivariate regression modeling, forecasting, and others enable logistics managers to better understand the factors that go into the cost of logistics services, and thus impact decisions made to enhance value through the supply chain. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

• Information Security Analysis on Breaches: Data Envelopment Analysis

  Decision Sciences Institute

  Information security is an ever-growing field that requires constant attention in just about every industry today. Our study analyzes information security breaches that occur in companies using data envelope analysis (DEA). In particular, we applied a DEA model with constant returns-to-scale, which could handle undesirable outputs such as information security breaches, to the data set. When we controlled industry capital, we found that the retail financial/banking industries were relatively inefficient for dealing information security breaches. The major limitation of this study is the availability of data on security breaches. Further studies are necessary for in-depth analyses.

• Building an Analytics Solution for Climate Change Economic Impact on Crop Production

  Athens Institute for Education and Research Annual International Conference

  Climate change is a very timely topic, and as such our research group has decided to examine the relationship between climate change and crop production within the 48 contiguous United States as identified by various datasets outlined in our paper. After a yearlong search and many missteps, we have discovered data sets which we believe fit our needs for this research. Our approach is to use the Tableau® ecosystem of software to perform an extract, transform and load (ETL) of the datasets to create an initial set of data visualizations. These dashboards will be launched on Tableau Public® and linked to the Central Connecticut State University Website, once they are finalized. The journey to creating the necessary data for analysis was fraught with many wrong turns, which included accessing data which initially we thought was promising but did not meet the needs of our analysis. Many of the issues we encountered were big data problems with one dataset topping out at 2.2 trillion records. The analysis has demanded new technology and new vision to analyze the data. That is presented in our paper, with the hope of paving the way so other researchers can learn from our journey. Aside from learning from our journey, we will provide a literature foundation on why we chose this topic as well as the future of this research and what to expect from the visualizations and statistics. The above issues present unique challenges which we discuss in our paper and presentation. Our goal of presenting at the ATINER Conference is to get substantive feedback which will allow us to further the research of the economic impact of climate change and give guidance to crop growers regarding strategic implementation of types of crops

• Transformative Analytics and Logistics Pricing: How Business Intelligence Can Inform Logistics

  International Journal of Business Intelligence Research (IJBIR) - Applying Business Intelligence Initiatives in Healthcare and Organizational Settings

  Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and reach the end consumer. Being such a widely used process, this is what motivates the researchers to examine the logistics portion of the supply chain from an analytical perspective and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling focusing on areas such as directionality and precipitation. That should enable logistics managers, researchers, and others to better understand the factors that go into the cost of logistics services, and thus impact pricing of goods dependent on those services. In a world where logistics managers rely heavily on “gut feel,” utilizing business intelligence and analytics can better enable decision making.

• Best Practices for Logistics Analytics

  ATHENS INSTITUTE FOR EDUCATION AND RESEARCH 13th Annual International Conference

  Analytics and the supply chain are topics important to every organization. How to get optimal value from the supply chain drives decisions across organizations both large and small. Within supply chains, logistics enables goods to move through raw material providers, manufacturing, distribution and reach the end consumer. Being such a widely used process motivates the researchers to examine the full-truck-load logistics part of the supply chain from an analytical perspective and attempt to determine best practices for gaining optimal value that can be utilized across the entire supply chain. Transformative analytics techniques, such as multivariate regression modeling, forecasting, and others enable logistics managers to better understand the factors that go into the cost of logistics services, and thus impact decisions made to enhance value through the supply chain. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

• Information Security Analysis on Breaches: Data Envelopment Analysis

  Decision Sciences Institute

  Information security is an ever-growing field that requires constant attention in just about every industry today. Our study analyzes information security breaches that occur in companies using data envelope analysis (DEA). In particular, we applied a DEA model with constant returns-to-scale, which could handle undesirable outputs such as information security breaches, to the data set. When we controlled industry capital, we found that the retail financial/banking industries were relatively inefficient for dealing information security breaches. The major limitation of this study is the availability of data on security breaches. Further studies are necessary for in-depth analyses.

• Building an Analytics Solution for Climate Change Economic Impact on Crop Production

  Athens Institute for Education and Research Annual International Conference

  Climate change is a very timely topic, and as such our research group has decided to examine the relationship between climate change and crop production within the 48 contiguous United States as identified by various datasets outlined in our paper. After a yearlong search and many missteps, we have discovered data sets which we believe fit our needs for this research. Our approach is to use the Tableau® ecosystem of software to perform an extract, transform and load (ETL) of the datasets to create an initial set of data visualizations. These dashboards will be launched on Tableau Public® and linked to the Central Connecticut State University Website, once they are finalized. The journey to creating the necessary data for analysis was fraught with many wrong turns, which included accessing data which initially we thought was promising but did not meet the needs of our analysis. Many of the issues we encountered were big data problems with one dataset topping out at 2.2 trillion records. The analysis has demanded new technology and new vision to analyze the data. That is presented in our paper, with the hope of paving the way so other researchers can learn from our journey. Aside from learning from our journey, we will provide a literature foundation on why we chose this topic as well as the future of this research and what to expect from the visualizations and statistics. The above issues present unique challenges which we discuss in our paper and presentation. Our goal of presenting at the ATINER Conference is to get substantive feedback which will allow us to further the research of the economic impact of climate change and give guidance to crop growers regarding strategic implementation of types of crops

• Transformative Analytics and Logistics Pricing: How Business Intelligence Can Inform Logistics

  International Journal of Business Intelligence Research (IJBIR) - Applying Business Intelligence Initiatives in Healthcare and Organizational Settings

  Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and reach the end consumer. Being such a widely used process, this is what motivates the researchers to examine the logistics portion of the supply chain from an analytical perspective and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling focusing on areas such as directionality and precipitation. That should enable logistics managers, researchers, and others to better understand the factors that go into the cost of logistics services, and thus impact pricing of goods dependent on those services. In a world where logistics managers rely heavily on “gut feel,” utilizing business intelligence and analytics can better enable decision making.

• An Analytical Approach to Estimating Shipping Costs

  Central Connecticut State University

  A research and analytics project focused on developing a more predictive pricing model for a national supply chain service provider.