- Facts when captured and elaborated become information. Information is captured about data at a given point in time. Data keeps changing but we may not have mechanism to capture the latest information.

- Conversion of data into information and knowledge is plagued by several issues like selective observation, inaccurate observation, over generalization, made-up information, ex post facto hypothesizing.

- The most complex part is moving from knowledge to wisdom. There is a big possibility that people get into the errors like illogical reasoning, ego involvement in understanding, premature closure and mystification

Research and Lean Six Sigma

Research is sometimes categorized as exploratory (identifying or defining a problem), constructive (tests theories and proposes solutions), or empirical (tests feasibility of solution using empirical evidence). Lean Six Sigma techniques focus on all the three types of research. 

Caution – While Lean Six Sigma learning does provide scientific approaches to work with data, information, knowledge and wisdom parts of DIKW model, there may still be the several errors in a structured Lean Six Sigma project. The objective is to minimize errors sufficiently in a manner that makes business sense.

If you are new to Lean Six Sigma, use the following link to know more – What is Lean Six Sigma

Vishwadeep Khatri