Your data is in good hands.

Data & Analytics Consulting

It’s no secret that data is one of the most valuable assets on the planet, and the way to turn data into value is through data science. Thanks to advances in data technology, companies and government agencies can make up-to-date data-driven decisions, instead of decisions based on instinct. Transforming into a data-driven organization can be a daunting task, however, as you navigate multiple vendors and complex solutions across your IT infrastructure. Also, some enterprises don’t know how to collect the proper data, store and secure it, or best analyze it to use to their advantage. Zobo taps into a wellspring of experience in this area, as we help you build a comprehensive and tailored data enterprise strategy, resulting in a high-performing data environment.

Our Intellectual Leaders

Before Zobo Analytics, Laura held various data leadership positions in banking. She led global data innovation, devised fraud detection and underwriting strategies, and developed API data products for customer engagement. As a former CDO, she leverages her expertise to consult new and seasoned data executives, driving enterprise-wide transformations and fostering data-driven cultures.
Kevin works with organizational leaders, studying their implementation processes and enhancing their evaluation capabilities. He directed the National Evaluation Center for the AIDS Education and Training Centers program, a $34M federal initiative educating healthcare workers on HIV care. He standardized evaluation practices nationwide and conducted the program's first national assessment.
With over 30 years of IT experience, Matt excels in enterprise architecture, data integration, business intelligence, and data modeling. He's led large-scale data warehouse projects, employing diverse methodologies and technology designs for relational and multi-dimensional platforms. His expertise spans government, finance, manufacturing, telecom, education, and retail sectors.
Clyde, a Ph.D. data scientist, excels in programming with R, Python, SQL, and Matlab. He manages, analyzes, and presents complex data, creating thoughtful dashboard systems. With a background as a statistics professor and researcher at Johns Hopkins University, he has authored multiple journal articles and presentations on AI. His passion for data keeps him ahead of emerging trends.

Recent Project Highlights

A large semiconductor producer needed help managing vast amounts of data, tools, and processes related to their inventory. Manufacturing firms that don’t have a handle on these items risk reduced customer satisfaction due to supply chain issues caused by missing parts. Zobo helped the company reduce their costs by over $10M and improve customer feedback and delivery times.  We mapped their data to desired outcomes, infrastructure, processes, and used AI & ML techniques to deliver new intelligent and data-driven inventory policies.

A Zobo research team designed and implemented a mixed-methods evaluation of an urban after school program, targeting low-income elementary school students. Components of the study included online and in-person classroom observation, staff surveys, and quantitative student data analysis. Iterative formative assessment was provided throughout the school year, with the aim of modifying teaching and learning activities to improve student achievement. Final assessment demonstrated the program was effective in raising student test scores.

A global real estate company wanted to lower licensing and IT adminastrative costs around having multiple BI software vendors. Portfolio managers were using these systems to track performance, transactions, commissions, and other data. They also wanted to deploy new corporate dashboards. Zobo streamlined their BI solution to one platform, upgraded their ETL processes, and identified key performance indicators to compute and present in real-time. As a result of these enhancements the client saw a six-figure reduction in expenses.