- Capitalize on Your Analytics Skills With the Johns Hopkins SAIS MA in Global Risk (Online) - Oct 20, 2020.
The Johns Hopkins SAIS MA in Global Risk (online) program prepares graduates to gain experience analyzing and addressing real-world scenarios, and the knowledge to fine-tune your analyses with insights from economics, history and political science. Enroll now and join a highly active, international community of more than 230,000 Johns Hopkins alumni.
Johns Hopkins, Master of Science, Online Education, Risk Analytics
- Top 8 Data Science Use Cases in Construction - Jul 5, 2019.
This article considers several of the most efficient and productive data science use cases in the construction industry.
Optimization, Predictive Analytics, Product Analytics, Risk Analytics, Use Cases
- Customer-Driven Product Development for the Future, June 6 webinar - May 21, 2018.
Learn about the tools and strategies you need to develop products to meet the future needs of your customer and thrive in the future of insurance.
Customer Analytics, Insurance, Insurance Nexus, Risk Analytics
- Real-Time Decisions for Real Results - Aug 9, 2016.
Enova Decisions real-time predictive analytics services help businesses improve the customer experience while protecting against fraud, optimizing operations and increasing marketing profitability.
Decision Management, Enova, Real-time, Risk Analytics
- Uber-fication: Lessons from Uber in Economics, Digital, Risk, and Analytics - Dec 5, 2015.
Uber-fication or Uberisation is the conversion of existing jobs and services into discrete tasks that can be requested on-demand; the emulation or adoption of the Uber’s business model. Here we have discussed opportunities, risk and challenges while doing uberisation.
Economics, Mobile, Risk Analytics, Risk Modeling, Russell Walker, Taxi, Uber
- OpenText Data Digest Nov 20: The Last Mile of Big Data - Nov 24, 2015.
For this week, we provide some examples of visualizations that crunch their fair share of Big Data on the back end but present it in a way that meets the Last Mile challenge.
Big Data, Data Visualization, OpenText, Risk Analytics
