Reviewbox is an early stage technology startup focused on delivering e-commerce data and analytics to consumer brands. Their software continually aggregates data across Amazon, Walmart.com, and several other major e-commerce sites. Currently, Reviewbox utilizes their dashboard for descriptive analytics. They have partnered with the UC Davis MSBA Program to try to drive more meaningful insights through three sub-projects that involve predictive and prescriptive analytics. The sub-projects involve exploring relationships between reviews and search and sales rank, understanding the buy box dynamics and Amazon Ads optimization.

Reviewbox's mission is to continuously help brands and manufacturers bridge the knowledge gap between data accessibility and the development of actionable insights derived from the information collected across eCommerce marketplaces. Their software continually aggregates data across Amazon, Walmart.com, and several other major e-commerce sites. Since its 2019-20 practicum sponsorship, Reviewbox has merged with the customer intelligence firm Talkwalker. The MSBA student team is applying machine learning and advanced statistics to build market share and sales estimators - data unavailable to customers of major ecommerce platforms.

Establishing Aircraft Condition by Predictive Maintenance 

Students on this project will provide a set of software tools and create staff workflows to convert the unstructured condition data into quality structured condition data as efficiently as possible.

The student team examined the problem of commercial power fraud and recommending analytically-derived solutions with the goal of creating a safer, sustainable and more equitable environment for its entire customer base. Founded in 1946, SMUD is Sacramento's community-owned, not-for-profit electric service, among the six largest of its kind in the U.S.

Buy Better: Optimal User Paths and Spending 

Students will have an excellent opportunity to understand customer journeys and online purchase behavior, as well as participate in the full life cycle of data attributions model developments. This is a small, nimble silicon valley startup and students will get to work directly with the founders who are subject matter experts in their fields. 

The MSBA team is applying Machine Learning and advanced Data Science to drive customer retention, churn and expansion decisions at this cloud-based enterprise log management and analytics-as-a-service vendor. The analysis combines usage data from Sumo’s petabyle-scale platform and its CRM to identify strategies for customer retention and opportunities for market expansion. Sumo Logic is a SaaS company that helps customers monitor, troubleshoot and secure business-critical applications via a secure, cloud-native, continuous intelligence platform.

Agile Drug Distribution for UCDH Pharmacy 

Students on this project will work on creating an early anomaly detection or early warning of changes in product (medication) utilization. They will use predictive analytics to accurately forecast both near-term and longer-term demand for medications given the anomaly detection. They will also use prescriptive analytics to optimize inventory carrying levels, reorder points, and safety stock to offer the best service possible to all of UCDH's patients. 

Late Arrivals for UCDH Clinic

Students on this project will work on developing a process map detailing the patient journey from home/starting destination to arrival in-room to guide metric definitions and design thinking. They will also create a Tableau dashboard that describes the epidemiology of clinic late start events. 

Ambulatory Access to Care

The region's only academic health center, UC Davis Health is focused on discovering and sharing knowledge and providing the highest quality of care. As providers compete for patients based on both convenience and quality, improving patient access by decreasing wait times is becoming increasingly important for UC Davis Health. The Access to Care project leverages analytics and multiple data sources to provide UCD Health patients with the right care in the right setting at the right time. That requires the student team to assess and propose improvements to existing models to better manage current and projected provider capacity by specialty. The end-goal is to use enhanced model recommendations to inform operational decisions and identify operational tactics to improve access.

Patient Experience

The region's only academic health center, UC Davis Health is focused on discovering and sharing knowledge and providing the highest quality of care. As healthcare has become increasingly consumer-driven, it has become imperative for hospitals and health systems to have a deep understanding of the people they serve (i.e., the patients). Patients provide service feedback through a variety of mechanisms, including multiple-choice surveys and with transcribed free text. The MSBA team is developing a robust and scalable system to provide UC Davis Health leadership with actionable feedback-based insight using statistical and machine learning modeling.

Pharmacy Inventory

The region's only academic health center, UC Davis Health is focused on discovering and sharing knowledge and providing the highest quality of care. The inventory of the pharmacy department of the UC Davis Health system costs over $200 million every year. The student team has been tasked with reducing costs by optimizing inventory levels. The initiative has required the team to analyze historical trends, develop insightful visualizations, and forecast spending. A key deliverable has been a real-time forecasting dashboard that allows pharmacists to track inventory status and highlight significant reorder points.

Homelessness and Healthcare

The region's only academic health center, UC Davis Health (UCDH) is focused on discovering and sharing knowledge and providing the highest quality of care. As the only Level 1 trauma center in inland Northern California, the Emergency Department sees hundreds of patients each day. Many emergency department visitors are patients experiencing homelessness (PEH), with chronic diseases burdens combined with high barriers to accessing routine primary care service. The MSBA student team is extending UCDH's current ability to compute, visualize and predict key care measures to better identify service utilization trends and gaps in resources for PEH. The goal is to create a predictive analytics solution that will help evaluate the impact of new interventions to avoid unnecessary utilization and improve patient satisfaction and clinical outcomes for this population.

As many as one in four college students in California suffer from food insecurity, unable to get proper nutrition, in quantity or quality. The student team assisted the UC Davis Center for Student Affairs Assessment (CSAA) in creating a system to monitor and improve the campus food supply chain.