Sign up for our newsletter and get the latest big data news and analysis.

5 Ways Big Data Analytics Can Help Your eCommerce Business

In this contributed article, web content writer Gloria Kopp presents 5 simple ways that big data analytics can make a difference to an e-commerce business enterprise.

Harte Hanks Brings Next Generation Data and Analytics to Marketers with Opera Solutions’ Signal Hub Platform

Harte Hanks ( NYSE : HHS ), a leader in customer relationships, experiences, and interaction-led marketing and Opera Solutions, a leader in Data Analytics, announced the market availability of their data and analytic solution delivered through Opera Solutions’ Artificial Intelligence (AI) and Machine Learning platform, Signal Hub™.

Using Machine Learning and Big Data Analytics to Improve Existing Business Systems

In this contributed article, Dan Adika, CEO and cofounder of WalkMe, discusses how big data, combined with machine learning and artificial intelligence, can contextually guide employees on how to use any system, provide businesses with insights into common technology obstacles, and ultimately personalize the user experience to drive greater adoption.

Data Capture and Science Strategy

Innovative drug development organizations are leveraging scientific and technical advances to data capture data that is increasingly multidimensional and information rich. However, existing data capture and sharing processes are often unable to support efficient integration and interpretation of this data. To learn more about available technologies available for data capture and relation science strategy download this white paper.

The Five Blocks of the HPE WDO Solution

This is the sixth and final entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, and the HPE Workload and Density Optimized System. The final entry in the series is focused on the five blocks of the HPE WDO Solution.

Big Data and The HPE Workload and Density Optimized System

This is the fifth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fifth entry in the series is focused on the HPE Workload and Density Optimized System.

The HPE Elastic Platform for Big Data Analytics

This is the fourth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fourth entry in the series is focused on offerings from HPE for big data analytics.

Realizing a Scalable Data Lake

This is the third entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well as offerings from HPE for big data analytics. The third entry in the series is focused on realizing a scalable data lake.

The Changing Data Landscape

This is the second entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The second entry in the series is focused on the changing data landscape.

Syncsort’s Annual Mainframe Survey Spotlights Big Iron’s Critical Role in Big Data Analytics

Syncsort, a global leader in Big Iron to Big Data solutions, announced the results from its annual “State of the Mainframe” survey, which underscore the rising importance of mainframe data as a critical component of enterprise-wide strategies that leverage modern data architectures for Big Data analytics.