Data Analytics Big Data - related privacy issues

last updated 2013 Sept 05
 
 

What is data analytics Where did it come from

The study of Data Analytics (also referred to as Data Mining or Big Data, or Meta Data) comes from several different origins the desire for companies to save HR costs by  hiring the best employees know detailed information about existing employees in order to enhance productivity the objective of companies to utilize customer profile information to achieve CLV (Customer Lifetime Value) so that they may make more money from existing customers

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Where did it come from

What are the environments that have influenced enterprises re: data analysis technological environment increased data storage capability for not only text and images but also video future limitations of Moore's Law continuing to be true competitive environment pressure to know the most information possible about employees and customers political - legal-regulatory environment laws and regulations about citizen privacy issues global "threat - risk - vulnerability" considerations by national governments has created gov't agencies that access Meta Data

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A CTV story about how the government may use Meta Data collected from OSINT (Open Source Intelligence) and how this may or may not effect privacy issues. Richardson was interviewed by CTV for this story which first aired in June 2013.

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www2.macleans.ca/2012/10/24/the-new-boss-big-data/

The screen capture to the left refers to an article in Maclean's magazine Oct 2012 discussing the role of software programs in decisions about employee performance, hiring, firing and promoting. Chris Sorenson explains "Hiring and training new employees is expensive, and most corporations try to keep staff turnover, or “churn,” to a minimum." The trend "It’s all part of a larger shift toward the use of data analytics, or “big data,” in the corporate world. While crunching massive databases in search of insights into consumer behaviour is fast becoming standard operating procedure (Amazon’s product recommendation engine is a good example), the notion of using the same tools to manage a company’s own employees is more controversial, mainly because it’s not an exact science" The reason ... "The potential market for such products is huge. A recent IBM survey of 1,700 chief executives found that 71 per cent said human capital was the most important factor in maintaining a competitive advantage."

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Mike Myatt Big Data - not all metrics are equal "in the race to acquire Big Data, leaders can easily wander off course with devastating results" 1. Static Historical Measurements; 2. Quantitative Return Measurements; 3. Qualitative Return Measurements; 4. Quantitative Performance Measurements, and; 5. Qualitative Performance Measurements."

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