Drexel LeBow’s Business Analytics programs provide a curriculum that covers the entire lifecycle of data analysis. Drexel’s national leadership in experiential learning shapes the curriculum with a focus on the program’s three pillars: statistics, data management, and business modeling.
LeBow is uniquely positioned to address descriptive, diagnostic, predictive, prescriptive and pre-emptive questions across the business analytics lifecycle, from the corporate generation of data through the application and impact on managerial and leadership decision-making and innovation.
What is Business Analytics?
Identifying the business question through:
- Hypothesis testing
Developing a solution with modeling techniques from:
- Decision sciences
- Finance and economics
- Behavioral sciences
Using various types of data such as:
- Structured (numerical, text)
- Unstructured (visual, audio, social)
Analyzing data with:
- Quantitative techniques (statistical)
- Qualitative techniques (ethnographic)
Deriving value in terms of:
Events, Seminars and Dissertations
Greywoode will discuss his role leading the advanced analytics team and how Twitter leverages data for decision making.
Stonier will discuss her role leading the organization’s enterprise data strategy and how Mastercard leverages analytics for decision making.