IMPORTANCE OF DATA ANALYTICS IN BUSINESS

Authors

  • Natyra Dika-Krluku Public Enterprise for State Roads, North Macedonia

DOI:

https://doi.org/10.35120/sciencej0303111d

Keywords:

Analytics, data, business, insights, tools, visualization

Abstract

In a world increasingly driven by data, data literacy is as essential as literacy itself, especially in the business sector. Consequently, every enterprise needs to build a foundation of data analytics literacy within their workforce. This means enterprises need more people who understand analytics and the benefits they can provide. By building analytics literacy, an enterprise can convert its data into actionable insights that drive decision-making and actions. This, in turn, can enhance business processes and foster greater innovation. To build analytics literacy, business professionals need to understand the various types of analytics they are likely to encounter.

Therefore, the purpose of this paper is to examine the awareness and readiness of business professionals regarding the importance of analytics in everyday business. Do they truly understand what analyses are? Can they distinguish between the different types of analytics and know when and how to use/perform/interpret them? Are they familiar with analytical tools and methods of conducting analyses? Furthermore, do they grasp the overall process of performing analyses—from collecting data to summarizing and presenting outcomes effectively—as a foundation for setting strategies and developing specific actions or tactics to achieve desired outcomes? The results from a survey conducted with several business professionals across different industries on the previously mentioned topics are used for the purposes of this paper.

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References

Amadebai, E. (2021, February 28). The 4 types of analytics explained (with examples). Analytics for Decisions. https://www.analyticsfordecisions.com/types-of-analytics/

Baumeier, H. (2021, October 5). Data literacy: Why is it needed? Camelot Management Consultants. https://www.camelot-mc.com/blog/data-literacy-why-is-it-needed-and-how-can-visualization-help/

Book downloads —. (n.d.). Storytelling with Data. Retrieved August 5, 2024, from https://www.storytellingwithdata.com/book/downloads

Data visualization: Definition, benefits, and examples. (2022, November 21). Coursera. https://www.coursera.org/articles/data-visualization

Haan, K. (2022, May 17). The best data analytics tools of 2024. Forbes Advisor; Forbes. https://www.forbes.com/advisor/business/software/best-data-analytics-tools/

Hassan, M. (2024a, March 25). Descriptive analytics - methods, tools and examples. Research Method. https://researchmethod.net/descriptive-analytics/

Hassan, M. (2024b, March 26). Diagnostic analytics - methods, tools and examples. Research Method. https://researchmethod.net/diagnostic-analytics/

Murguia, J. (2022, March 10). 5 ways to grow business value through analytics. Forbes. https://www.forbes.com/sites/tableau/2022/03/10/5-ways-to-grow-business-value-through-analytics/

Stevens, E. (2021, January 28). The 4 types of data analysis [ultimate guide]. CareerFoundry. https://careerfoundry.com/en/blog/data-analytics/different-types-of-data-analysis/

Velázquez, A. (2021, April 16). Data analysis: Definition, types and examples. QuestionPro. https://www.questionpro.com/blog/what-is-data-analysis/

Vivek, J. (2022, May 30). How is data analytics used in business? Zuci Systems; Zuci Systems Inc. https://www.zucisystems.com/blog/how-is-data-analytics-used-in-business/

(N.d.-a). Gartner.com. Retrieved August 5, 2024, from https://www.gartner.com/smarterwithgartner/a-data-and-analytics-leaders-guide-to-data-literacy

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Published

2024-09-20

How to Cite

Dika-Krluku, N. (2024). IMPORTANCE OF DATA ANALYTICS IN BUSINESS . SCIENCE International Journal, 3(3), 111–115. https://doi.org/10.35120/sciencej0303111d

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