2014 Business Intelligence Interactive Risk Management 
Domino Data Lab
APRIL 3, 2019
Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. a second priority?at
Domino Data Lab
FEBRUARY 4, 2019
Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration. Or something.
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