SCTR7: Data Science and Analytics

Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework. A proposed CSDS definition derived from multiple sources: CSDS is the practice of […]

Overview: The Cyber Big Data Conundrum Organizations are challenged with the spiraling overhead associated with storing and processing ever inflating sets of cybersecurity data. Many admit they are struggling to evidence improved security event detection and decision making. A growing realization is that big data must be turned into smart data: relevant, high-quality data which […]

Posting from SAS Forum Switzerland 2017 Lovely day in Zurich for SAS Forum Switzerland.  Hearing about the latest data analytics developments in Switzerland.  Topics and trends covered: Cloud & internet of things Risk, fraud, and compliance Customer analytics Big data & data science Today I will be presenting with my colleague Allan Russell on ‘Data […]

Brief coverage of and link to O’Reilly ebook ‘Getting Data Right’

As many traditional industrial age business functions become subject to disintermediation by automation and expert analytics systems, new industries and value propositions will need to be framed by an emerging generation of leaders.

Summary of the 2014 RSM Leadership Summit ‘Big Data, What’s in it for Me?’

The adage ‘garbage-in-garbage-out’ is an analytics mantra so ingrained it has its own shorthand: GIGO. Yet, in the mad, blind rush toward all things ‘big data’, there is the danger of sidelining the crucial-but-dreary topic of data quality, to which GIGO refers. While data quality is not as ‘sexy’ as big data, anyone who wants […]

A TedX talk I gave November 18th 2013 in Rotterdam, Netherlands at the Rotterdam School of Management (RSM). This talk distills many of the thoughts discussed in this blog. If you like it, please forward! http://www.youtube.com/watch?v=q4d1DArZKgo

As a companion to my recent post “Correlation versus Causation: The Science, Art, and Magic of Experimental Design”, I wanted to offer a more technical exposition concerning data science approaches to focused causal model development. A fundamental question faced by business analytics professionals and data scientists is whether they have a working correlative and causal […]