Acta Scientific Computer Sciences

Research Article Volume 4 Issue 8

Annotate BI: An Intuitive Data Insights Interface

Marjan Moshfegh Gohari1, Ria Agarwal1, Parisa Naraei2*

1Northeastern University Vancouver, Canada
2Professor, Cestar College of Business, Health and Technology, Department of Artificial Intelligence, Lambton College Applied Researcher; Toronto Metropolitan University Alumni

*Corresponding Author: Parisa Naraei, Professor, Cestar College of Business, Health and Technology, Department of Artificial Intelligence, Lambton College Applied Researcher; Toronto Metropolitan University Alumni.

Received: June 26, 2022; Published: July 18, 2022

Abstract

There is an increasing need to make meaningful insights from a large amount of data available in the organizations. In this paper, we investigate, how gaining insights can be facilitated with interactive visualizations. We collaborated with a non-profit organization United Way of the Lower Mainland (UWLM) to help their employees leverage organizational data in order get the information they require for making informed and timely decisions using an interactive, intuitive, and meaningful plugin. To fulfill these requirements, we proposed "Annotate BI" as a plugin add-on to Power BI, which serves as a powerful tool for requesting and sharing insightful information. Using Annotate BI, anyone can create annotations or raise an Inquiry, which makes sharing information related to the Dashboard effortless for the Business Team.


Keywords: Data Visualization; User Interface Design; User Experience; Data Reporting; Digital Transformation; Insights; Business Intelligence; Data-driven; User Engagement

References

  1. Micheline Elias and Anastasia Bezerianos. “Annotating BI Visualization Dashboards: Needs Challenges”. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’12). Association for Computing Machinery, New York, NY, USA (2012): 1641-1650.
  2. Sean E Ellis and Dennis P Groth. “A Collaborative Annotation System for Data Visualization”. In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI ’04). Association for Computing Machinery, New York, NY, USA (2004): 411-414.
  3. D P Groth and K Streefkerk. “Provenance and Annotation for Visual Exploration Systems”. IEEE Transactions on Visualization and Computer Graphics 12.6 (2006): 1500-1510.
  4. Sun Jun. “Business Intelligence Visualization Technology and Its Application in Enterprise Management”. In Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology (BDET ’20). ACM (2020).
  5. United Way of the Lower Mainland. “Strategic Plan - United Way of the Lower Mainland” (2017).
  6. Angela Shen-Hsieh and Mark Schindl. “Data Visualization for Strategic Decision Making”. In Case Studies of the CHI2002|AIGA Experience Design FORUM (CHI ’02). Association for Computing Machinery, New York, NY, USA (2002): 1-17.
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Citation

Citation: Parisa Naraei., et al. “Annotate BI: An Intuitive Data Insights Interface". Acta Scientific Computer Sciences 4.8 (2022): 63-67.

Copyright

Copyright: © 2022 Parisa Naraei., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

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