Description
Assessing the Impact of Data-Driven Decision Making on Organizational Performance: A Mixed-Methods Analysis
Abstract
This study investigates how organizational performance is affected by data-driven decision-making (DDDM). Enterprises produce vast volumes of data, however, making beneficial use of data to gain success. The study investigates data analytics’ application in enterprises. They utilize it to help them make smart choices. Additionally, they optimize operations and boost overall performance. Moreover, it delivers a rise in productivity and enhanced. Lastly, they incorporate improved competitive advantage. The work utilizes mixed-methods technique and collects both qualitative and quantitative information. In addition, this method yields a thorough comprehension. It investigates how DDDM contributes to the success of organizations.
The quantitative component utilizes surveys where managers and decision-makers receive it. Furthermore, a study evaluates the application of data analytics and assesses how it relates to performance indicators. Statistical analysis will identify the impact of data-driven processes. For instance, it affects the company’s results. In-depth interviews are a component of the qualitative component. They seek to comprehend the advantages and difficulties. This covers organizational and cultural hurdles. Moreover, the investigation integrates numerical facts by gathering insights. This offers a comprehensive perspective on the effects of DDDM. The study will demonstrate observable advantages. It will also draw attention to difficulties.
In addition, the results will provide practical suggestions, and the goal is to use data analytics to make better decisions. Besides, the study aims to improve their performance. The research highlights the transformative power of data. It demonstrates how organizational strategies are shaped by data. In conclusion, research will advance the knowledge of data-driven decision-making. It will also make clear how important it is to the success of the firm. Finally, future studies might examine uses in industry. It might also look at new developments in data analytics.
Read more about the topic
Data-Driven Decision-Making: Revolutionizing Management in the Information Era
Becoming a Data-Driven Decision Making Organization
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