Top 10: Customer Analytics

Top 10 most viewed posts published in the past year, for this category.

Top 10 Skills in Data Science

The practice of data science requires skills that fall into three general areas: business acumen, computer technology/programming and statistics/math. Depending on whom you ask,...

The Most Important Skill in Data Science: Mining and Visualizing your Data

While data scientists have many resources in their tool belt, our research shows that proficiency with data mining and visualization tools consistently ranks as...

Are You Using the Right Tools for Your Big Data Projects?

Data scientists rely on tools/products/solutions to help them get insights from data. Gregory Piatetsky of KDNuggets conducts an annual survey...

Data Science Skills Needed in a Big Data World

Last month, I wrote about the three skills needed to practice data science. Based on a factor analysis of many...

Top 5 Benefits of Call Center Speech Analytics–Why Your Call Center’s Success Depends on...

Call center speech analytics (CCSA) is a recently developed offshoot of Key Performance Indicator (KPI) fields that examines substratal data gathered from communications between...

10 Data Science Skills You Need to Improve Project Success

Last week, I identified the top skills across different data science professionals. The results of our survey of 620+ data professionals showed that, while data...

When Does Education Level Matter in Data Science?

Data scientists are highly educated. In our study of data scientists, we found that over half of them, both men and women, hold either...

Industry Differences in Data Science Roles, Skills and Project Outcomes

The AnalyticsWeek and Business Over Broadway Data Science Survey survey revealed industry differences in data science roles, proficiency in data science skills and satisfaction...

For Data Scientists, Big Data is not so Big

In our study of data scientists, we found that only about a third of them possessed skills needed to handle big and distributed data. These...

Perspectives on Analytics: Attitudes on New Data Frontiers

Data scientists, business analysts and business executives have some innovative ways to extract insights from their internal information repositories. Open API standards like REST,...

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