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Visualisation of Large-Scale Call-Centre Data / DYLAN REES

Swansea University Author: DYLAN REES

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DOI (Published version): 10.23889/SUthesis.56839

Abstract

The contact centre industry employs 4% of the entire United King-dom and United States’ working population and generates gigabytes of operational data that require analysis, to provide insight and to improve efficiency. This thesis is the result of a collaboration with QPC Limited who provide data c...

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Published: Swansea 2020
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Laramee, Robert S.
URI: https://cronfa.swan.ac.uk/Record/cronfa56839
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first_indexed 2021-05-10T10:16:10Z
last_indexed 2021-05-11T03:22:07Z
id cronfa56839
recordtype RisThesis
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spelling 2021-05-10T12:26:34.7796649 v2 56839 2021-05-10 Visualisation of Large-Scale Call-Centre Data 4cc5f135283a7955acde0ee522656437 DYLAN REES DYLAN REES true false 2021-05-10 The contact centre industry employs 4% of the entire United King-dom and United States’ working population and generates gigabytes of operational data that require analysis, to provide insight and to improve efficiency. This thesis is the result of a collaboration with QPC Limited who provide data collection and analysis products for call centres. They provided a large data-set featuring almost 5 million calls to be analysed. This thesis utilises novel visualisation techniques to create tools for the exploration of the large, complex call centre data-set and to facilitate unique observations into the data.A survey of information visualisation books is presented, provid-ing a thorough background of the field. Following this, a feature-rich application that visualises large call centre data sets using scatterplots that support millions of points is presented. The application utilises both the CPU and GPU acceleration for processing and filtering and is exhibited with millions of call events.This is expanded upon with the use of glyphs to depict agent behaviour in a call centre. A technique is developed to cluster over-lapping glyphs into a single parent glyph dependant on zoom level and a customizable distance metric. This hierarchical glyph repre-sents the mean value of all child agent glyphs, removing overlap and reducing visual clutter. A novel technique for visualising individually tailored glyphs using a Graphics Processing Unit is also presented, and demonstrated rendering over 100,000 glyphs at interactive frame rates. An open-source code example is provided for reproducibility.Finally, a novel interaction and layout method is introduced for improving the scalability of chord diagrams to visualise call transfers. An exploration of sketch-based methods for showing multiple links and direction is made, and a sketch-based brushing technique for filtering is proposed. Feedback from domain experts in the call centre industry is reported for all applications developed. E-Thesis Swansea 27 3 2020 2020-03-27 10.23889/SUthesis.56839 ORCiD identifier https://orcid.org/0000-0002-7129-5825;Redacted: A selection of third party content is redacted or is partially redacted from this thesis. COLLEGE NANME COLLEGE CODE Swansea University Laramee, Robert S. Doctoral Ph.D 2021-05-10T12:26:34.7796649 2021-05-10T11:11:01.1455462 College of Science Computer Science DYLAN REES 1 56839__19839__221b5ffe62114265b06fcc3ff6bcc17e.pdf Rees_Dylan_G_PhD_Thesis_Final_Redacted.pdf 2021-05-10T12:16:23.7218134 Output 44689927 application/pdf Redacted version - open access true Copyright: The author, Dylan Geraint Rees, 2020. true eng
title Visualisation of Large-Scale Call-Centre Data
spellingShingle Visualisation of Large-Scale Call-Centre Data
DYLAN REES
title_short Visualisation of Large-Scale Call-Centre Data
title_full Visualisation of Large-Scale Call-Centre Data
title_fullStr Visualisation of Large-Scale Call-Centre Data
title_full_unstemmed Visualisation of Large-Scale Call-Centre Data
title_sort Visualisation of Large-Scale Call-Centre Data
author_id_str_mv 4cc5f135283a7955acde0ee522656437
author_id_fullname_str_mv 4cc5f135283a7955acde0ee522656437_***_DYLAN REES
author DYLAN REES
author2 DYLAN REES
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publishDate 2020
institution Swansea University
doi_str_mv 10.23889/SUthesis.56839
college_str College of Science
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hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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description The contact centre industry employs 4% of the entire United King-dom and United States’ working population and generates gigabytes of operational data that require analysis, to provide insight and to improve efficiency. This thesis is the result of a collaboration with QPC Limited who provide data collection and analysis products for call centres. They provided a large data-set featuring almost 5 million calls to be analysed. This thesis utilises novel visualisation techniques to create tools for the exploration of the large, complex call centre data-set and to facilitate unique observations into the data.A survey of information visualisation books is presented, provid-ing a thorough background of the field. Following this, a feature-rich application that visualises large call centre data sets using scatterplots that support millions of points is presented. The application utilises both the CPU and GPU acceleration for processing and filtering and is exhibited with millions of call events.This is expanded upon with the use of glyphs to depict agent behaviour in a call centre. A technique is developed to cluster over-lapping glyphs into a single parent glyph dependant on zoom level and a customizable distance metric. This hierarchical glyph repre-sents the mean value of all child agent glyphs, removing overlap and reducing visual clutter. A novel technique for visualising individually tailored glyphs using a Graphics Processing Unit is also presented, and demonstrated rendering over 100,000 glyphs at interactive frame rates. An open-source code example is provided for reproducibility.Finally, a novel interaction and layout method is introduced for improving the scalability of chord diagrams to visualise call transfers. An exploration of sketch-based methods for showing multiple links and direction is made, and a sketch-based brushing technique for filtering is proposed. Feedback from domain experts in the call centre industry is reported for all applications developed.
published_date 2020-03-27T04:12:38Z
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score 10.920369