BARCO Healthcare, is a multinational company headquartered in Kortrijk, Belgium. The student team is helping to analyze the data and workflow aspects of Multidisciplinary Tumor Board Meetings. Objectives include developing business analytics dashboards, measuring ROI and defining and capturing meeting efficiency KPIs.
The Asian Art Museum (AAM) is home to one of the world’s finest collection of Asian art with an expansive permanent collection and dynamic special exhibitions and public programs. AAM is currently undergoing a $90 million expansion project set to complete in 2020. The MSBA team is supporting AAM during this expansion by developing a statistical model to help predict attendance for special exhibitions, allowing the museum to better meet yearly earned revenue goals while maximizing public engagement with the museum’s art and cultural programs.
Part of SoftBank’s worldwide portfolio of companies revolutionizing business and commerce with cutting-edge technology, REEF transforms underutilized urban spaces into neighborhood hubs that connect people to locally curated goods, services, and experiences. REEF is the largest operator of mobility, logistics hubs, and neighborhood kitchens in the United States, Canada, and has a growing presence in Europe. Partnering with the MSBA program allows REEF to pair its rich data infrastructure with cutting-edge decision technologies and enthusiastic young talent from UC Davis to boost its workforce management systems and outcomes.
Established in 1972, Public Storage is the world’s leading self-storage company. A part of the Fortune 500 (NYSE: PSA), Public Storage owns and operates 2500+ facilities across 38 states; we employ thousands of associates across the United States. Public Storage believes that analyzing and improving digital customer engagement is a critical differentiator that we can use to create even more customer value. To that end, the goal of the MSBA project is to develop a full-stack analytics implementation focused on eCommerce analytics.
Packsize is among a very few companies worldwide creating “right-sized packaging” – shipping packages that are optimally sized to the dimensions of their contents - through its hardware and software solutions. Its products have an enormous environmental impact, reducing the use of corrugated fiberboard as well as fill materials like polystyrene, as well as shipping costs and damage. MSBA students are applying analytics to design next-generation automation solutions that combine image acquisition from state-of-the-art stereoscopic cameras with Packsize's existing packaging and fulfillment solutions for a fast-expanding e-commerce sector.
Kiva is an international nonprofit, founded in 2005 in San Francisco, with a mission to help the more than 1.7 billion unbanked around the world who cannot access much-needed financial services. MSBA students are developing analytical insights and models to enable Kiva to grow the value and use of its programs. Specifically, they are employing data science to understand how to increase uptake and stickiness, which product and marketing features provide greatest value to users, and how to position different lending products to maximize impact.
BlueMatrix is a leading platform for the authoring, distribution, and analysis of the consumption of financial research. It connects the world’s leading asset and wealth managers with nearly 1,000 research firms in more than 50 countries, in addition to serving internal teams across multinational corporations. Under the direction of the office of the CIO, MSBA students are analyzing fine-grain usage data from BlueMatrix's terabyte-scale SAAS platform. The goal is to analyze potential opportunities to create value for BlueMatrix's staff and customers and create robust predictive and search systems for financial-sector professionals using AI and advanced analytics.
Air Safety Institute (ASI) is devoted to improving the safety of pilots in the field of general aviation (GA) through industry-leading research. The fatal accidents affect everyone in the field deeply and the situation is calling for more analysis of the untapped accident report, the NASA Aviation Safety Reporting System (ASRS) database.
Therefore, it is collaborating with MSBA students to analyze and determine causal factors for problematic phenomena in general aviation using Natural Language Processing. Leveraging descriptive, diagnostic, and predictive analysis, the student team helps ASI lower the KPI of this practicum which is the number of fatal accidents, by formulating operational and policy recommendations arising from the preceding analysis.
Solving Complex Coordination Issues for Non-Emergency Medical Transport
On this project students will look at the current predictive models against real data and retrain the models. Students will also develop a tool for dynamically analyzing the supply-demand balance in various regions, and a process to use that tool to adjust advertising budget to focus on areas that have more need for the allocated funds.
