- How equity long/short managers are evolving their investment process using non-traditional data analytics.
- How is data management improving their approach to risk management? Why all alternative data analytics are not created equal (i.e. GPS data on shopping density in supermarkets doesn’t necessarily mean people are spending money)
- Why accessing de-identified credit card data analytics, as one example, can provide deeper insights into consumer retail activity (i.e. more tactical long/short positions for those trading consumer stocks)

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