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Private and Open Data in Asia: A Regional Guide.
Pauline Brown has been working in big data companies for a while now. Her job involves understanding why organisations are slow to re-imagine and act upon the possibilities that big data has to offer. Here is her point of view:
Finally, this all comes down to one underlying problem: collaboration. Indeed, getting big data embedded on a company level remains a collaboration problem – collaboration between people, technologies, and data. So how do you get businesses to insight collaboration on a widespread level? How do you get your non-data-scientists to get involved in the data project? How do you get your data-driven business solutions to the front lines of production quicker? How do you bring about the shift from data-scientist-does-it-all to data team works together?
Pauline Brown is director of marketing at Dataiku, which has developed the most productive predictive services development platform for data professionals, Data Science Studio (DSS). Pauline is a firm believer that the data and predictive analytics ecosystem is entering a new era; one in which even nontechnical members of the data team can transform raw data into business-impacting solutions. After all, as a marketer at Dataiku, data-driven projects in DSS are part of her daily routine. Born and raised in Palo Alto, California, Pauline graduated from Columbia University before joining Paris’s IEP.
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