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A Pragmatic Approach on Adoption of EDA to Make Intelligent Business Decisions
Abstract
Today, corporations and their leaders have goals beyond just efficiency. The managers of numerous departments, including marketing, finance, supply chain management, information technology, and customer relationship management, have been recognizing the importance of data-driven insights in generating quantifiable business results. However, linking the data to improved business performance has never been easy for human resource departments. The aim of the study is to assess the value of Business Intelligence (BI) and Exploratory Data Analysis (EDA) in relation to how firms manage their workforces and how that affects performance. It would also identify the important organizational areas where BI and EDA are used as well as the effect on employee performance. It would also provide some insight into the several organizations’ rising interest in EDA and the numerous technologies they employ to offer value to the company. The study also focuses on python based open source EDA tools such as AutoViz, Pandas-profiling and SweetViz that are useful for getting detailed information in a much more user-friendly style. Further, this research work also studies the impact of EDA and BI on corporate data analysis and visualization results are examined. It demonstrates the BI approaches that have been put into use by many companies in order to make better strategic decisions on the people's side of the business.
References
Ghazanfari M, Jafari M, Taghavi Fard MT, Rohani S. Requirements of BI in ERP. Journal of Modern Economics and Business. 2011; 13: 45–22.
Palak Gupta, Akshat Dubey. BI: Techniques and Integration with Data Mining, Knowledge Management and Cloud. Int J Eng Res Manag Stud. 2016; 3(12): 53–61.
Mandi Riteesh M. A Study on Integrating BI with Corporate Companies. Int Res J Eng Technol (IRJET). 2021 Apr; 08(04): 2170–2173.
Faiza Nazeer, Nadia Nazeer, Iqra Akbar. Data Visualization Techniques: A Survey. Int J Res Emerg Sci Technol. 2017 Mar; 4(3): 4–8.
Sai Arjun Madikonda. Analysis on Visualization of Data Science Integrated to Different Research with Networks Theory. Int J Creat Res Thoughts. 2021 Dec; 9(12): 182–191.
Thomas Plank, Markus Helfert. Interactive Visualization and Big Data A Management Perspective. Proceedings of the 12th International Conference on Web Information Systems and Technologies, WEBIST. 2016; 2: 42–47.
Fehmi Skender, Violeta Manevska. Data Visualization Tools-Preview and Comparison. Journal of Emerging Computer Technologies. 2022 Jun; 2(1): 30–35.
Emad Ahmed. Utilization of BI Tools among BI Users. Int J Innov Educ Res. 2021; 9(06): 237–253.
Khushboo Patel, Rudra Gupta, Anurag Punde, Adarsh Pillay, Mohit Vyas. Study of approaches and components of BI. Int J Eng Sci Res Technol. 2015; 4(2): 19–22.
Parul Manchanda, Shruti Gulati. HR Analytics at Work: Making More Powered Organizations. Effulgence. 2018 Jan–Jun; 16(1): 132–141.
Muhammad Qasim Shabbir, Syed Babar Waheed Gardezi. Application of big data analytics and organizational performance: the mediating role of knowledge management practices. J Big Data. 2020; 7(1): 47. https://doi.org/10.1186/s40537-020-00317-6.
Meet Joshi, Ashwini Dubbewar. Review on BI, Its Tools and Advantages and Disadvantages. Int J Eng Res Technol. 2021 Dec; 10(12): 386–391.
Jamaiah Yahaya, Aziz Deraman, Nur Hani Zulkifli Abai, Yusmadi Yah Jusoh. The Implementation of BI and Analytics Integration for Organizational Performance Management: A Case Study in Public Sector. Int J Adv Comput Sci Appl. 2019; 10(11): 292–299.
Ashraf Bany Mohammad, Manaf Al-Okaily, Mohammad Al-Majali, Ra’ed Masa’deh. BI and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework. J Open Innov: Technol Mark Complex. 2022; 8(4): 189. https://doi.org/10.3390/joitmc8040189.
Mehrdad Maeen, Majid Haghparast. Implementation of BI to Increase the Effectiveness of Decision Making Process of Managers in Companies Providing Payment Services. J Internet Bank Commer. 2017 May; 22(S8): 1–24.
Alasiri Mohanad M, Salameh Anas A. The Impact of BI (BI) and Decision Support Systems (DSS): Exploratory Study. Int J Manag (IJM). 2020; 11(5): 1001–1016. Article ID: IJM_11_05_092. DOI: 10.34218/IJM.11.5.2020.092.
Mirjana Pejic Bach, Jurij Jaklic, Dalia Susa Vugec. Understanding impact of BI to organizational performance using cluster analysis: does culture matter? Int J Inf Syst Proj Manag. 2018; 6(3): 63–86.
Olszak Celina M, Ewa Ziemba. Critical Success Factors for Implementing BI Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland. Interdiscip J Inf Knowl Manag. 2012; 7: 130–150.
Nur Hani Zulkifli Abai, Jamaiah Yahaya, Aziz Deraman. BI and Analytics in Managing Organizational Performance: The Requirement Analysis Model. J Adv Inf Technol. 2016 Aug; 7(3): 208–213.
Angkita Borpatra Gohain, Archana Saikia. A study on Human resource analytics for decision making in international business machine in India and United States. Journal of Contemporary Issues in Business and Government. 2021; 27(05): 1081–1094. DOI: 10.47750/cibg.2021.27.05.070.
Mostafa Medhat Nazier, Ayman Khedr, Mohamed Haggag. BI and its role to enhance Corporate Performance Management. International Journal of Management & Information Technology (IJMIT). 2013; 3(3): 8–15.
Patel Yagnesh B. BI: Techniques and Benefits. International Journal for Innovative Research in Science & Technology (IJIRST). 2015 Jan; 1(8): 58–63.
Martin Zelenka, Athanasios Podaras. Increasing the Effectivity of BI Tools via Amplified Data Knowledge. Stud Inform Control. 2021 Jun; 30(2): 67–77.
Rikke Gaardboe, Tanja Svarre. BI Success Factors: A Literature Review. J Inf Technol Manag. 2018; XXIX(1): 1–15.
Wieder Bernhard, Ossimitz Maria-Luise, Chamoni Peter. The Impact of BI Tools on Performance: A User Satisfaction Paradox? International Journal of Economic Sciences and Applied Research. 2012; 5(3): 7–32.
Mohammad Daneshvar Kakhki, Prashant Palvia. Effect of BI and Analytics on Business Performance. 22nd Americas Conference on Information Systems, San Diego. 2016; 1–10.
Edward Buhasho, Agnes Wausi, James Njihia. BI, Organizational Capability, Complementary Resources and Firm Performance. Int J Economics Commerce Manag. 2018 Dec; VI(12): 609–619.
Raghavendra Raj, Shun Ha Sylvia Wong, Beaumont Anthony J. BI Solution for an SME: A Case Study. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016). KMIS. 2016; 41–50. DOI: 10.5220/0006049500410050.
Elbashir Mohamed Z, Collier Philip A, Davern Michael J. Measuring the effects of BI systems: The relationship between business process and organizational performance. Int J Account Inf Syst. 2008; 9(3): 135–153.
Milan Kubinaa, Gabriel Komana, Irena Kubinovab. Possibility of improving efficiency within BI systems in companies. 4th World Conference on Business, Economics and Management, WCBEM, Procedia Econ Financ. 2015; 26: 300–305.
Michael Diamond, Angela Mattia. Data visualization: an exploratory study into the software tools used by businesses. Journal of Instructional Pedagogies (JIP). 2017 Mar; 17: 1–7.
Kirti Nilesh Mahajan, Leena Ajay Gokhale. Comparative Study of Data Visualization Tools. International Conference on Engineering & Technology (ICET-20); Pune, Maharashtra, India. 2020; 48–53.
Andrii Kopp, Dmytro Orlovskyi. A Method for Choosing Suitable Data Visualization in Business Data Analysis Projects. 2021 Oct 15. Available at SSRN: https://ssrn.com/abstract=3943856 or http://dx.doi.org/10.2139/ssrn.3943856.
Federico Desimoni, Nikos Bikakis, Laura Po, George Papastefanatos. A Comparative Study of State-of-The-Art Linked Data Visualization Tools. Conference: Visualization and Interaction for Ontologies and Linked Data Workshop VOILA. 2020.
Ravi L, Yan Q, Dascalu SM, Harris Jr FC. A survey of visualization techniques and tools for environmental data. InProceedings of the 2013 Intl. Conference on Computers and their Applications (CATA 2013) 2013 Mar 4.
Sunil Kumar SH, Saravanan C. A Comprehensive study on Data Visualization tool-Grafana. J Emerg Technol Innov Res (JETIR). 2021 May; 8(5): 908–914.
Sharma Brijesh R, Sachin Deshmukh. Data Visualization for Accelerated BI in the Indian Health Care Sector using Tableau. Int J Recent Technol Eng (IJRTE). 2020 Nov; 9(4): 304–308.
DOI: https://doi.org/10.37628/ijowns.v8i2.869
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