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035   $a(CKB)3710000001084385
035   $a(OCoLC)975009013
035   $a(BEP)4819435
035   $a(CaBNVSL)swl00407198
035   $a(Au-PeEL)EBL4819435
035   $a(CaPaEBR)ebr11358181
035   $a(OCoLC)975224907
035   $a(CaSebORM)9781631577321
035   $a(MiAaPQ)EBC4819435
035   $a(EXLCZ)993710000001084385
100   $a20190123d2017      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aData visualization$hVolume II$iUncovering the hidden pattern in data using basic and new quality tools /$fAmar Sahay
205   $aFirst edition.
210  1$aNew York :$cBusiness Expert Press,$d2017.
215   $a1 online resource (xii, 155 pages)
225 1 $aQuantitative approaches to decision making collection
311   $a1-63157-731-X 
311   $a1-63157-732-8 
320   $aIncludes bibliographical references (pages 147-149) and index.
327   $aGraphical and visual tools for improving product and service quality -- 1. Overview and data visualization -- 2. Data and data analysis concepts -- 3. Systems processes and variation -- 4. Current trends in data visualization -- 5. Data visualization concepts and applications -- 6. Seven basic quality tools: graphical tools to solve quality problems -- 7. The seven new tools for quality improvement -- 8. Other visual information tools in quality improvement -- Bibliography -- Index.
330 3 $aThe focus of this book is on data visualization and information visualization tools--two major categories of data visualization. The first part discusses the concepts and applications related to data analysis, visualization, and the current trend in data visualization. A discussion of systems and processes is provided as all data are collected from systems and processes. A section emphasizes the importance of variation in data analysis since almost all data show variation and the visual tools are an excellent way to study, analyze, and reduce the variation in the processes. Applications illustrate how the visual tools are an excellent means of viewing the current state of the process and provide the opportunities for improvement. The second part of the book is devoted to quality tools, a set of graphical and information visualization tools in data analysis, decision making, and Lean Six Sigma quality programs. The key application areas of visual tools including the business process improvement, business data analysis, health care, finance, manufacturing engineering, process improvement, and product and process design are discussed. The two categories of visualization tools--seven basic tools and seven new tools of quality-- are discussed with their applications. The basic quality tools are Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect (Ishikawa) Diagrams, and Pareto Charts/ Analysis. The seven new tools of quality--a set of visuals used to solve quality problems using graphical and analytical techniques--include the Affinity Diagram, Interrelationship Digraph, Tree Diagram, Prioritizing Matrices, Matrix Diagram, Process Decision Program Chart, and Activity Network Diagram. Other information processing tools, such as QFD-- the quality function deployment/house of quality--and multivari charts, are discussed using commonly used software.
410  0$aQuantitative approaches to decision making collection.
606   $aInformation visualization
606   $aBig data
615  0$aInformation visualization.
615  0$aBig data.
676   $a001.4226
700   $aSahay$b Amar$0881364
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910811421303321
996   $aData visualization$94035286
997   $aUNINA