Big Data Meets Performance Improvement: Separating Promise from Hype

Lisa A. Giacumo; Steven W. Villachica

Big Data Meets Performance Improvement: Separating Promise from Hype

Lisa A. Giacumo, Steven W. Villachica

Organizational Performance and Workplace Learning Department

Boise State University

Research output: Contribution to conference › Presentation

Abstract

Big data and analytics cross traditional boundaries among performance improvement, information technology, and data science. While more established in other disciplines, big data and analytics are a looming reality for performance improvement practitioners. Targeted to beginners to big data and performance improvement alike, this highly interactive session will share the results of a systematic literature review that identified innovative approaches and lessons learned. Participants will then use a case study activity to create a draft proposal for using big data to address a performance gap.

During this session participants will:

Identify organizational readiness indicators that support use of big data and analytics.
Draft a plan for using big data to address a performance gap.

Original language	American English
State	Published - 24 Sep 2016
Event	International Society of Performance Improvement: Europe - Middle East - Africa (ISPI-EMEA) 2017 Annual Conference - Bonn, Germany Duration: 24 Sep 2016 → …

Conference

Conference	International Society of Performance Improvement: Europe - Middle East - Africa (ISPI-EMEA) 2017 Annual Conference
Period	24/09/16 → …

EGS Disciplines

Operations Research, Systems Engineering and Industrial Engineering

Cite this

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title = "Big Data Meets Performance Improvement: Separating Promise from Hype",

abstract = " Big data and analytics cross traditional boundaries among performance improvement, information technology, and data science. While more established in other disciplines, big data and analytics are a looming reality for performance improvement practitioners. Targeted to beginners to big data and performance improvement alike, this highly interactive session will share the results of a systematic literature review that identified innovative approaches and lessons learned. Participants will then use a case study activity to create a draft proposal for using big data to address a performance gap. During this session participants will: Identify organizational readiness indicators that support use of big data and analytics. Draft a plan for using big data to address a performance gap. ",

author = "Giacumo, {Lisa A.} and Villachica, {Steven W.}",

year = "2016",

month = sep,

day = "24",

language = "American English",

note = "International Society of Performance Improvement: Europe - Middle East - Africa (ISPI-EMEA) 2017 Annual Conference ; Conference date: 24-09-2016",

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AU - Giacumo, Lisa A.

AU - Villachica, Steven W.

PY - 2016/9/24

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N2 - Big data and analytics cross traditional boundaries among performance improvement, information technology, and data science. While more established in other disciplines, big data and analytics are a looming reality for performance improvement practitioners. Targeted to beginners to big data and performance improvement alike, this highly interactive session will share the results of a systematic literature review that identified innovative approaches and lessons learned. Participants will then use a case study activity to create a draft proposal for using big data to address a performance gap. During this session participants will: Identify organizational readiness indicators that support use of big data and analytics. Draft a plan for using big data to address a performance gap.

AB - Big data and analytics cross traditional boundaries among performance improvement, information technology, and data science. While more established in other disciplines, big data and analytics are a looming reality for performance improvement practitioners. Targeted to beginners to big data and performance improvement alike, this highly interactive session will share the results of a systematic literature review that identified innovative approaches and lessons learned. Participants will then use a case study activity to create a draft proposal for using big data to address a performance gap. During this session participants will: Identify organizational readiness indicators that support use of big data and analytics. Draft a plan for using big data to address a performance gap.

M3 - Presentation

T2 - International Society of Performance Improvement: Europe - Middle East - Africa (ISPI-EMEA) 2017 Annual Conference

Y2 - 24 September 2016

ER -

Big Data Meets Performance Improvement: Separating Promise from Hype

Abstract

Conference

EGS Disciplines

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Cite this