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Big Data Consulting Project
Big Data Consulting Project
Big Data Consulting Project
Big data comes in high volume, velocity, and variety. But it’s not the amount or type of data that transforms businesses, it’s what businesses do with the data that drives the bottom line
A business partner will pose a business challenge to the class for the Big Data Consulting Project, along with a large dataset for analysis. Then students work in teams to analyze the data, derive managerial insights, and use their findings to present creative solutions to business challenges and opportunities.
Applying analytic techniques
To best address the business’ challenge, student teams work through three stages: describing data patterns and trends, using the data to predict outcomes, and compiling the analyses to form actionable recommendations for the project sponsor.
Students use a combination of data visualization tools (such as Tableau or Hadoop), programming languages for analysis (such as R or Python), and spreadsheet simulation and optimization tools (such as @Risk and Excel Solver).
Presenting the findings
Each student team will deliver two presentations to the business partner involved in the course, once at the project’s midpoint and again at completion. The midpoint presentation enables the teams to obtain early feedback from the business partner and make adjustments and course corrections as needed. At the final presentation, each team of students will present their findings. This includes an actionable plan for the business to use the findings and address real-world business constraints including bandwidth, skills, and budget. In parallel, students will submit a technical report to the course faculty.
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Gianni DeNicolò, PhD
Gianni De Nicolò joined Johns Hopkins University (JHU) Carey Business School in 2018. Before joining JHU, he worked in the International Monetary Fund (Monetary and Capital Markets Department, Research Department, IMF Institute), was Economist in the Division of International Finance at the Board of Governors of the Federal Reserve System, Assistant Professor at the Graduate School of International Economics and Finance of Brandeis University, and Lecturer at the University of Rome I (“La Sapienza”). Education Ph. D, Economics, University of Minnesota BS, Economics, University of Rome Research
Federico M. Bandi, PhD
Federico M. Bandi, PhD (Economics, Yale University), is the James Carey Endowed Professor in Business. He joined the Johns Hopkins Carey Business School in 2009. He is a professor in the research track with expertise in finance and economics. Education Ph. D, Economics, Yale University MA, Economics, Yale University MA, Economics, Bocconi University Research Selected publications “Zeros” (with Aleksey Kolokolov, Davide Pirino and Roberto Reno’) Management Science, 66 (2020) 3466-3479 “The scale of predictability” (with Benoit Perron, Andrea Tamoni and Claudio Tebaldi) Journal of Econometrics
Easton Huch, PhD
Easton Huch is a Postdoctoral Researcher in the Carey Business School at Johns Hopkins University. Easton's primary research area is causal inference methodology, especially in dynamic treatment regimes. Example application areas include (i) Al systems employing reinforcement learning and/or bandit algorithms and (ii) micro-randomized trials in mobile health research. In particular, much of Easton's research in this area develops robust randomization-based methods. Prior to his Ph.D., Easton worked as a data scientist at a tech company, where he developed an interest in quantitative marketing
Johns Hopkins Carey Business School opens enrollment for master’s programs in new D.C. home
Innovative design meets a new, powerful location to create unlimited opportunities for D.C. area individuals who want to build their future in one of four full-time specialized master’s degree programs.