Analytics

Top 10 data science master’s degree programs

Thinking about getting your master's degree in data science? Here are ten of the top schools with data science degrees worth pursuing.

Tableau talks up natural language interface for creating visualizations

BI vendor seeks to simplify and automate data analysis as part of a growing trend toward injecting AI capabilities into BI tools.

Data scientist job description: Tips for landing top talent

Finding good data science talent starts with a killer job description. Hereu2019s how to get it right.

5 reasons why data lakes are vital for startup analytics

Compared to more mature companies, early-stage startups have drastically different analytics needs. Data lake infrastructure can make things easier on them.

5 ways AI is transforming customer experience

5 ways AI is transforming customer experience

Companies are increasingly turning to artificial intelligence to help strengthen customer relationships, provide unique experiences, and increase revenue.

CIO need to drive the real time enterprise

New platforms to support real time data streaming, AI processing at the edge, and automated workflows will be the backbone of the real time enterprise.

5 reasons why data-driven innovations fail

Make sure you understand some of the key mistakes that companies make when deploying data-driven products into the market.

Are you ready for the data-driven management revolution?

Even as enterprises embrace data-driven management, they must ensure that they use the power of data to speed decisions, remove ambiguity and increase efficiency u2014 but not at the cost of dehumanizing the organization beyond recognition.

MetLife hooks into external data feeds to help curb customer risk

The insurer is leveraging external data pipelines in hopes of helping customers reduce risk, thanks to its work with a startup that specializes in knowledge graphs and machine learning.

Optimized for agility: How Mutual of Omaha builds quick-response teams

Mutual of Omahau2019s senior vice president of finance operations, James Davenport, discusses how using a data-driven approach to building teams makes it possible to move faster and meet growing customer needs.