Monday, December 17, 2018
The current working definitions of Data Analytics and Data Science are inadequate for most organizations. But in order to think about improving their characterizations, we need to understand what they hope to accomplish. Data analytics seeks to provide operational...
Open Source Intelligence (OSINT) can use sophisticated Sociological and Psychological (Socio-Psycho) factors in order to positively identify Key Opinion Leaders (KOL). This animated presentation demonstrates just how it can be applied to one of the most opaque places on earth: The...
We are at a tipping point for the realization of value from data-oriented services (big data, data science, etc.). Those that see limited growth opportunities in traditional application and services development are already well underway in this data science...
Across all industries, companies are looking to Data Science for ways to grow revenue, improve margins, and increase market share. In doing so, many are at a tipping point for where and how to realize these value improvement objectives. Those...
Over the last several months I have been involved with developing uniques data science capabilities for the intelligence community, ones specifically based on exploiting insights derived from the open source intelligence (OSINT) found in the deep web. The deep web...
Heads Up - This is a stream of consciousness! Please be patient with me while I incrementally refining it over time. Critical feedback is welcome! There are several different ways to define when data becomes big data. The two traditional approaches...
A common data exploration came up while talking with a British colleague in the advertising industry on Friday, how many independent subject areas should be investigated (1, 10, 100, …, N) in order to have a statistically significant chance of making a...
U.S. employers’ labor cost sustained its five year high into the third quarter of 2014. Economist believe this is being driven by a tightening labor market, which often results in company pressure to raise wages and salaries. According to the...
Companies continue to struggle with how to implement an organic and systematic approach to data science. As part of an ongoing trend to generate new revenues through enterprise data monetization, products and services owners have turned to internal business...
There is a lot of discussion around how data sciences and data analytics differ, from the tools that are used to the methodologies that are employed. Two useful perspectives are to look at the differences (what separates them) and...