What Kinds of People and Processes are Needed for Data Management and Analytics?

General
Location: Westside Ballroom Level:

Data management teams need strong cloud computing and database management skills, and proficiency with tools like Hadoop, mapreduce jobs and SQL queries. The analysts need to be deep thinkers and creative modelers with experience in machine learning and financial modeling—ideally both. Being model- and data-driven means overnight data-crunching to produce daily data reports, which often lead to more overnight questions. There are also inherent difficulties in talking to clients and internal stakeholders when inherently unstable data and statistics are key tools for decision-making.

From a process standpoint, we need start asking new kinds of questions that Big Data is opening up for the first time. Speaker Cathy O’Neill will use her unique experience in finance, which is the field that is the most developed in terms of modeling, to explain how she sees today’s business world as relatively unsophisticated and ""spoiled for data."" She’ll explain various techniques that financial analysts employ to improve models, and reconsider the practice of A/B testing in a model-driven world.

Photo of Cathy O'Neil

Cathy O'Neil

Weapons of Math Destruction

Cathy O’Neil a data scientist for the startup media company Intent Media. Cathy began her career as a postdoc in MIT’s Math Department. She has been a professor at Barnard College, where she published a number of research papers in arithmetic algebraic geometry, and worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis and for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. Cathy holds a PhD in math from Harvard.

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