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Predictive Analytics Drives Criminal Justice Reform with Recidivism Forecasting

Smart Data Collective

We have previously talked about the role of predictive analytics in helping solve crimes. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation. Predictive Analytics and Big Data Assists with Criminal Justice Reform.

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Can Predictive Analytics Help Traders Navigate Bitcoin’s Volatility?

Smart Data Collective

Fortunately, new predictive analytics algorithms can make this easier. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed.

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Announcing the 2013 Customer Analytics & Measurement Survey

Srividya Sridharan

Last year, we published The State of Customer Analytics 2012 (subscription required) based on the results of our annual customer analytics adoption survey where we uncovered key trends of how customer analytics practitioners use and adopt various advanced analytics across the customer lifecycle and highlighted challenges and drivers associated with (..)

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New Report Shows Big Data Plays Key Role In Improving Driver Safety

Smart Data Collective

We can use big data to develop better predictive analytics tools to identify risks and take the right precautions. Predictive Analysis and Crash Maps. Tennessee conducted a crash prediction program in 2013 that analyzed crashes based on reports, traffic conditions and weather for specific 6-by-7-mile-wide areas.

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Our Q3 Newsletter

Howard Dresner

Newsletter from Dresner Advisory Services As we approach the final 3rd of 2013, we thought you might appreciate an update and progress report from Dresner Advisory Services. Titles include: What Influences Value of Predictive Analytics? Hope the rest of 2013 is a successful one for you! We'd also like to hear from you!

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Some stuff that’s always on my mind

DMBS2

Rightly or wrongly, enterprises are often quite sloppy about analytic accuracy. In predictive analytics, it’s straightforward to quantify how much additional value you’re leaving on the table with your imperfect accuracy. I continue to think that a huge fraction of analytics is properly characterized as monitoring.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% 6) “The Signal And The Noise: Why So Many Predictions Fail – But Some Don’t” by Nate Silver. Best for: The CEO, Chief Digital Officer, Chief Information Officer, or business owner looking to seriously enhance their predictive analytics skills, both practically and theoretically.