Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS

Predictive Analytics

How to Harness Predictive Analytics and Become a Big Data Dynamo

 Predictive analytics has come a long way and, in an era defined by the ever-increasing influx of data and heightened customer demands, businesses no longer can deny its strategic importance. Industries such as insurance, financial services, and retail have used predictive analytics for decades, while others are just getting started. So what’s new? Predictive analytics

The Case Against Quick Wins in Predictive Analytics Projects

 When beginning a new predictive analytics project, the client often mentions the importance of a “quick win”. It makes sense to think about delivering fast results, in a limited area, that excites important stakeholders and gains support...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Jason Noriega at Chevron

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, Open Sourced Workforce Analytics: An Overview of 3 Algorithms for Common Predictive Modeling Situations, we interviewed Jason Noriega, Diversity Analytics Team Lead at Chevron. View the Q-and-A below to...

Advanced Analytics Predictions for 2016

 More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces – and, in the long run, may ultimately eliminate – the...

Changing the Retail Sector with Big Data

 Big Data analytics is now being applied at every stage of the retail process – working out what the popular products will be by predicting trends, forecasting where the demand will be for those products, optimizing pricing...

The Ultimate Guide to Data Science Blogs

 We’ve organized data science blogs across eight different categories: Machine learning, Hadoop, R, Python, business intelligence, data visualization, statistics, and a general data science bucket. Data about their reader count comes from Feedly. This is a work...

B2B Predictive Analytics: An Untapped Sector

 Much work in predictive analytics and data science has been primarily focused around the business to consumer sector (B2C). Certainly predictive analytics solutions have been applied to the B2B sector but it pales in comparison to what...

Data Mining for Predictive Social Network Analysis

 Given this enormous volume of social media data, analysts have come to recognize Twitter as a virtual treasure trove of information for data mining, social network analysis, and information for sensing public opinion trends and groundswells of...

4 Key Thrust Areas for Predictive Analytics World – Manufacturing 2016

 As we move to year 3 of the Predictive Analytics World – Manufacturing annual conference, we are continuing to build on the momentum from the first two years. Our primary focus areas have remained more or less the...

4 Reasons Why Healthcare Needs Data Science

 The amount of healthcare data continues to mound every second, making it harder and harder to find any form of helpful information. In the healthcare industry, what could be more important than having better healthcare outcomes? Each...

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