Solution of the Data Load Issue in Business Intelligence Tools: QlikView Live Case Study

  • Anil Kumar Prajapati Institute of Computer Science, Vikram University Ujjain MP, India
  • Yogesh Mishra Computer Science Department, RG University Ramghrah Jharkhand India
  • Saral Nigam Institute of Computer Science Vikram University Ujjain, MP, India
  • Pradeep Lakhare Govt. Madhav Science PG College Ujjain, MP, India
Keywords: Business Intelligence, Data Visualization, Data Analytics, Dashboards, QlikView Platform

Abstract

To stand in the marketplace it very essential to extract and deal with high-performance and usable data for every industry. The traditional ways are too slow and they are not suitable for the current scenario. This document gives knowledge about the new trends in technology which used for the benefit of business in terms of analysis and reporting. The document contains a live case study of the problem faced by an organization and a holistic evaluation of how to overcome it with the help of new technology. The primary objective of this case study is to minimize the ideal time for accessing and/or extracting files from different sources in the QlikView Platform.

Downloads

Download data is not yet available.

References

From QlikView to Qlik Cloud Analytics., Acess date 22/06/2024 https://www.qlik.com/us/products/qlikview

Tripathi P, Bajaj C, Bhanvadia M, Parsekar P, & Magar V. Comparative Study of Data Analytics Tools for Effective Business Decision. Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, Volume 8, Issue 7, Page 461–486., May 2023. http://vidhyayanaejournal.org/journal/article/view/837

Kiula M and Chege C, "Identification of the Limitations of Healthcare Service/Insurance Industry ERPs on Data Flow using QlikView and MS Excel," 2020 IST-Africa Conference (IST-Africa), Kampala, Uganda, Page 1-9, IEEE Access, May 2020.

Addepalli L, A, Sakinam S, Lokhande G, and Waqas A, “A Comprehensive Review of Data Visualization Tools: Features, Strengths, and Weaknesses”, Int. J. Comput. Eng. Res. Trends, volume. 10, Issue 1, Page 10–20, Jan. 2023, DOI: https://doi.org/10.22362/ijcert/2023/v10/i01/v10i0102.

Ozdemir M, Ülkü EE, & Yıldız K. “Analysis and Comparison of Business Intelligence Tools Most Preferred by Companies in Turkey” Balkan Journal of Electrical and Computer Engineering, Volume 11, Issue 2, Page 144-155, June 2023 https://doi.org/10.17694/bajece.1123171

Chand A, Vikram J, and Shukla P “Patient Data Analysis Using Structured Data Marts”, Conference Proceedings Page. 389, International Conference on Communication, Security, and Optimization of Decision Support System, IC-CSOD-2018, https://d1wqtxts1xzle7.cloudfront.net

Baruti R, “Analysis and Implementation of a Business Intelligence QlikView application for logistic and procurement management”. Sews Cabind case for the shortage problem, Politecnico di Torino, 2023.

Role of QlikView in Big Data, Access date 23/07/2024, https://data-flair.training/blogs/qlikview-in-big-data/

García MÁ, Harmsen B, Redmond S, and Pover K “QlikView: Advanced Data Visualization: Discover deeper insights with Qlikview by building your own rich analytical applications from scratch”, Book proceeding, Packt Publishing Ltd, 2018.

Oleg T, Gibson T, and Leichtweis CH. “QlikView your business: an expert guide to business discovery with QlikView and Qlik Sense”, Book proceeding, John Wiley & Sons, 2015.

Published
2024-09-30
How to Cite
Kumar Prajapati, A., Yogesh Mishra, Saral Nigam, & Pradeep Lakhare. (2024). Solution of the Data Load Issue in Business Intelligence Tools: QlikView Live Case Study. Journal of Systems Engineering and Information Technology (JOSEIT), 3(2), 43-47. https://doi.org/10.29207/joseit.v3i2.6064
Section
Articles