Remove Modeling Remove Prescriptive Analytics Remove Risk Remove Uncertainty
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. These may not be high risk.

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Disrupt and Innovate in a Data-Driven World

Cloudera

Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.