BI Tools: A Synergetic Opportunity for Quality Decision Making and Organizational Growth in IT Organizations

The challenges of the study are to understand the impact of the BI tool on improving the quality of decision-making in IT organizations and how quality decision-making based on the BI tool can help improve organizational growth (business performance) in the IT industry. organizations

Objectives of the study

The objectives of the study are:

  • Study the impact of business intelligence tools on organizational growth (business performance).
  • To study the impact of quality decision-making and decision categories (operational, tactical, and strategic) on the basis of BI tools.
  • Study the use of different types of BI analysis in IT organizations.

The scope of the study

Powerful transaction-oriented information systems are now prevalent in every major industry, effectively leveling the playing field for corporations around the world. However, to remain competitive, analytical systems are now needed that will change the company’s ability to retrieve and use the information it already has. Business Intelligence (BI) has evolved over the last decade to rely more on real-time data. BI systems automatically initiate systematic actions based on rules and context to support various business processes. These analytical systems derive insights from the large amount of data available, providing convincing, fact-based and actionable concepts. Today, business requires fast results. Therefore, today it is important not only to conduct business analysis, but also to take action to analyze the results and immediately change the parameters of business processes.

Teaching methodology

The study aims to describe the relationship between the BI tool and its impact on decision-making quality and organizational growth in information technology organizations using secondary data. Basic information is collected through a questionnaire survey. Secondary data is collected from various articles and annual reports of IT companies. Various numerical methods, such as percentage analysis, Freudman quadratic test, paired t-test, etc. they are used to analyze data using the MS Excel tool.

Hypotheses

H10: No improvement in organizational growth (business performance)
After the implementation of the BI tool compared to before the implementation of the BI tool. (µ1 = µ2)
H11: There is a significant improvement in organizational growth (business performance) after the introduction of the BI tool compared to the implementation of the BI tool. (µ1 ≠ µ2)

H20: There is no difference in the preference of IT companies to use BI tools with reference to the decision-making categories in the organization.
H21: There is a significant difference in the preference of IT companies to use BI tools with reference to the decision-making categories in the organization.

H30: There is no difference in the priority of application areas for BI analysis.
H31: There is a significant difference in the preference for areas of application for BI analysis.

Limitations of the study

The research is limited to IT organizations that provide services and software in the field of information technology, and does not include organizations that provide BPO, BPM, ITeS, hardware, data center, engineering design, education and training services.

Research is limited to IT organizations that use BI tools for research reporting, analysis and decision making.

Download the complete project report on BI Tools: A Synergetic Opportunity for Quality Decision Making and Organizational Growth in IT Organizations.

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