Top 10: Customer Analytics

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

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, and increased partnerships between Software-as-a-Service vendors benefits the customers who implement business applications like: • ERP • CRM ...

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 with work outcomes. The Information Technology industry is home to most data scientists. Data scientists who are Researchers outnumber the...

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 of data data professionals to better understand the different types of tools they use. Here are the results...

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 a Masters or PhD degree and about a quarter of them hold a 4-year degree. The level of educational attainment...

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 different skills, data science skills fall into three broad skill areas. These skill areas...

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 results are in line with findings from other studies that find that data scientists typically analyze small data sets. Figure 1....

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 one of the most important skills in determining project success. We used two methods to rank data science skills. The first way was based on...

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 customers and call center agents. The applied science of speech analytics for call centers involves, among several other concepts,...

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 scientists possess many different skills (we looked at 25 skills), some skills are more popular/common to data scientists compared to...

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 specific set of top skills varies. Dave Holtz describes the data science skills you need to get a job as a...

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