CIO Business Intelligence

APRIL 18, 2022

If a payment system or a key database interfaces with multiple vendor platforms, leaders need to know what all the dependencies are and what needs to be done to manage an outage. SLAs will need to be updated as risk management plans change. . Do their SLAs cover the service levels for their business?

Management 128

Management IT Data-driven Risk 128

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

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66