Why the Business of Data Analytics Is Even More Complicated than You Imagined
Combining analytics with software as a service led to an explosion in the number of disparate data repositories maintained by companies.
Combining analytics with software as a service led to an explosion in the number of disparate data repositories maintained by companies.
When immediate peers are forcing you down a dead end, it is good to step back and learn from the data and experiences shared by a wider range of professionals.
Some of the grand claims made for South Africa’s draft National Policy on Data and the Cloud make little sense in a world where data easily crosses borders.
A medical emergency teaches a lesson about priorities and why facts matter more than what we want to believe.
Understanding more about a quietly profitable customer could lead them to generate even more profit for your business.
Mike Willett, EY Partner and former Telstra RAFM Director, explains how to get more from the analysis of data.
The Russian telco intends to almost double the number of workers in its Big Data function.
RA vendors should do more to develop solutions that use sophisticated techniques like machine learning and predictive analytics.
Some previous loose talk about telcos giving their data to government sounds even worse following revelations about the ways data, and people, have been abused in real life.
Telcos are turning to unsupervised machine learning to identify new and increasingly complex patterns of criminal behavior.