Monthly Archives: June 2014
Components of Measurement System Error
Transactional #Lean #SixSigma measurement system error is the sum of several components – stability (consistency), Bias (location), Precision (spread) and Linearity (constancy of bias and precision).
Lean Six Sigma Data Collection
Errors in measurement (common cause and special cause variation) can come from any of the inputs – 4Ms and E. #Lean #SixSigma #DMAIC
For the better in a complex world!
#Analytics can be classified as For Today and yesterday (Descriptive), For Tomorrow (Predictive) and For the better in a complex world.(Prescriptive). #bigdata
Lean Six Sigma Measure Phase – Measurement System Analysis
Measurement Systems have processes and like all processes have inputs and outputs. The more variation in the measurement process inputs = the more variation in the output -> the measurement. #Lean #SixSigma
Lean Six Sigma Measure Phase
If every Measurement System has error, how much error can be tolerated before the data is considered untrustworthy? #Lean #SixSigma
Business Problem Framing Tasks
In your #Bigdata #Analytics project, the stakeholder analysis identifies the interests, the constraints and potential issues.
Driving Effective Decisions and Adding Value
#Analytics -the use of #bigdata-statistical & quantitative analysis-explanatory & predictive models-fact based management to drive decisions
Onslaught of Bigdata
Availability of #bigdata means every business or organizational activity can be viewed as a big data problem or initiative. #analytics
The Future – Bigdata
#Bigdata and the #analytics based on it promise to change virtually every industry and business function over the next decade. #datascience
Analytics?
Making sense of and extracting value from #bigdata can only be done through mathematical or statistical analysis – in a word #analytics
Richard A Denman's Blog 