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Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform

Authors:

Jonathan Larson,

Christopher WhiteAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: CS02, Pages 1 - 9

https://doi.org/10.1145/3170427.3174367

Published: 20 April 2018 Publication History

Abstract

The Business Intelligence (BI) paradigm is challenged by emerging use cases such as news and social media analytics in which the source data are unstructured, the analysis metrics are unspecified, and the appropriate visual representations are unsupported by mainstream tools. This case study documents the work undertaken in Microsoft Research to enable these use cases in the Microsoft Power BI product. Our approach comprises: (a) back-end pipelines that use AI to infer navigable data structures from streams of unstructured text, media and metadata; and (b) front-end representations of these structures grounded in the Visual Analytics literature. Through our creation of multiple end-to-end data applications, we learned that representing the varying quality of inferred data structures was crucial for making the use and limitations of AI transparent to users. We conclude with reflections on BI in the age of AI, big data, and democratized access to data analytics.

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Digital Library

Cited By

Sharma MKumar PGundewar S(2024)Leveraging AI and Machine Learning for Predictive Analytics in Business IntelligenceAI-Powered Business Intelligence for Modern Organizations10.4018/979-8-3693-8844-0.ch002(29-50)Online publication date: 20-Sep-2024
https://doi.org/10.4018/979-8-3693-8844-0.ch002
Gupta P(2024)Synergizing SuccessData-Driven Business Intelligence Systems for Socio-Technical Organizations10.4018/979-8-3693-1210-0.ch005(105-127)Online publication date: 23-Feb-2024
https://doi.org/10.4018/979-8-3693-1210-0.ch005
Arora SThota SGupta S(2024)Artificial Intelligence-Driven Big Data Analytics for Business Intelligence in SaaS Products2024 First International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT)10.1109/IC2SDT62152.2024.10696409(164-169)Online publication date: 2-Aug-2024
https://doi.org/10.1109/IC2SDT62152.2024.10696409
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Index Terms

Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 20 April 2018

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CHI '18

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SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

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CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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Cited By

Sharma MKumar PGundewar S(2024)Leveraging AI and Machine Learning for Predictive Analytics in Business IntelligenceAI-Powered Business Intelligence for Modern Organizations10.4018/979-8-3693-8844-0.ch002(29-50)Online publication date: 20-Sep-2024
https://doi.org/10.4018/979-8-3693-8844-0.ch002
Gupta P(2024)Synergizing SuccessData-Driven Business Intelligence Systems for Socio-Technical Organizations10.4018/979-8-3693-1210-0.ch005(105-127)Online publication date: 23-Feb-2024
https://doi.org/10.4018/979-8-3693-1210-0.ch005
Arora SThota SGupta S(2024)Artificial Intelligence-Driven Big Data Analytics for Business Intelligence in SaaS Products2024 First International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT)10.1109/IC2SDT62152.2024.10696409(164-169)Online publication date: 2-Aug-2024
https://doi.org/10.1109/IC2SDT62152.2024.10696409
Sihombing RNarsa IHarymawan I(2023)Big data analytics and auditor judgment: an experimental studyAccounting Research Journal10.1108/ARJ-08-2022-018736:2/3(201-216)Online publication date: 20-Apr-2023
https://doi.org/10.1108/ARJ-08-2022-0187
Dash BSwayamsiddha SAli A(2022)Deep Natural Language Processing in unstructured big data analysis and insights extraction - A quantitative study2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)10.1109/iSSSC56467.2022.10051524(1-5)Online publication date: 15-Dec-2022
https://doi.org/10.1109/iSSSC56467.2022.10051524
Wahyudi IWidyasari Y(2022)Improving Company Performance by The Correctness of Management Decision through Implementation Dashboard using Power BI Tools (Case Study at Company Y)2022 8th International Conference on Education and Technology (ICET)10.1109/ICET56879.2022.9990634(32-37)Online publication date: 15-Oct-2022
https://doi.org/10.1109/ICET56879.2022.9990634
Sarr JBame NBoly A(2022)Data Streams Management: Multidimensional Summary with Big Data Tools2022 5th International Conference on Computing and Big Data (ICCBD)10.1109/ICCBD56965.2022.10080310(50-55)Online publication date: 16-Dec-2022
https://doi.org/10.1109/ICCBD56965.2022.10080310
Fraihat SSalameh WElhassan ATahoun BAsasfeh M(2021)Business Intelligence Framework Design and Implementation: A Real-estate Market Case StudyJournal of Data and Information Quality10.1145/342266913:2(1-16)Online publication date: 30-Jun-2021
https://dl.acm.org/doi/10.1145/3422669
Alkhatib AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)To Live in Their Utopia: Why Algorithmic Systems Create Absurd OutcomesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445740(1-9)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445740
Vashisht VJakhmola NManjarwar PNikhil N(2021)An Effective Approach for Integrating Microsoft Power BI Application with Python for Predictive AnalyticsMicro-Electronics and Telecommunication Engineering10.1007/978-981-33-4687-1_45(469-477)Online publication date: 29-May-2021
https://doi.org/10.1007/978-981-33-4687-1_45
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