Traditional Lean Six Sigma training usually doesn’t address dealing with big data. What is the role of Lean
Six Sigma and big data? First, we’ll hear from experts on where big data fits into Lean Six Sigma
methodologies. Then experts discuss how Lean Six Sigma can aid various aspects of big data. Finally,
we’ll see an introductory video on how big data is structured.
Big Data in Lean Six Sigma
In a paper titled “Big data in Lean Six Sigma: a review and further research directions,” authors Shivam
Gupta, Sachin Modgil, and Angappa Gunasekaran give a comprehensive review of Lean Six Sigma(LSS)
and Big Data analytics (BDA).
The paper reviews
BDA Techniques Applicable to Each Phase of LSS.
With respect to dimensions relative to big data
Volume
Variety
Velocity
Veracity
Big Data Concerns in LSS
System Design and Integration
System Performance
Data Security and Reliability
Sustaining Control and Conducting Experiments
Distributed Material and Information Flow
The paper includes directions for future research based on information gaps.
You can read the paper here.
Data Perspective of Lean Six Sigma
In an article titled “Data Perspective of Lean Six Sigma in Industry 4.0 Era: A Guide To Improve Quality.”
authors Onur Dogan and Omer Faruk Gurcan discuss Big Data analytical methods and where they should
fit into the DMAIC/DMADV phase structure in concert with Lean Six Sigma tools. The authors provide a
guide for making decisions with data for improving process quality.
From the article:
“Massive data sets collected by industry 4.0 technologies should be mined with powerful data analysis
methods that produce meaningful results from big data. It is possible to make effective decisions by
utilizing these analysis methods in each step of lean six sigma cycles.”
The article includes:
An Overview of Data Mining Techniques
Big Data Analytics
Process Mining
Methods Used in Lean Six Sigma Cycles by DMAIC-DV Including
Data Mining
Big Data Analytics
Process Mining
You can read the article here.
Lean Six Sigma Helping Digital Curation
In a paper titled “The use of Lean Six Sigma methodology in digital curation,” authors G. Arcidiacono and
others discuss the current research in big data and digital curation with a focus on how Lean Six Sigma
can help the digital curation lifecycle.
NOTE: Digital curation is the management and preservation of digital data/information over the long-
term
The paper covers an overview of the use of Lean Six Sigma with a focus on digital information:
Selection
Preservation
Maintenance
Collection
Archiving
You can read the paper here.
Lean Application to Big Data
A paper titled “Big data: Time for a Lean approach in financial services” from Deloitte discusses how
Lean can improve organizations’ approaches to big data. According to Deloitte, a Lean approach will
help an organization focus only on the data needed to deliver specific business outcomes
The paper includes:
The relationship between data’s value and its volume and complexity
Lean principles for Big Data programs
The Lean approach in practice – engaging financial customers in new ways
Overall benefits of taking a Lean approach to big data
Five simple steps an organization can take to start a Lean approach to big data
The paper focuses on applications for the financial services industry, but the general suggestions are
applicable to applying Lean to big data in any organization.
You can read the Deloitte Analytics paper here.
Lean Six Sigma and Machine Learning
In a short article titled “How Can Lean Six Sigma Help Machine Learning?” author Joseph Chen discusses
how Lean Six Sigma variance reduction can improve the accuracy of machine learning results.
The author asks the question, “What is missing in machine learning? Can Lean Six Sigma fill the missing
gap?”
You can read the article here.
Big Data and Its Classification
Learn about structured, unstructured, and semi-structured data in this introduction to big data video
from Knowledge Hut.
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