The impact of business intelligence system (BIS) on quality of strategic decision-making

-
 This study aims to investigate the impact of Business Intelligence Systems (BIS) on the quality of strategic decision-making in top-level management. The independent variables in this study are Data Quality, Data Visualization, and BI Management, while the dependent variable is the Quality of Strategic Decision-Making. Additionally, the study explores the moderator variable, BI Scope, to further understand the relationship between BIS and the quality of strategic decision-making. By providing valuable insights into the relationship between BIS and the quality of strategic decision-making, this study contributes to the existing body of knowledge on business intelligence and strategic decision-making. The findings show that BI Management, BI Scope, Data Quality, and Data Visualization have substantial and favorable correlations with the quality of strategic decision-making. Effective BI Management techniques contribute to higher decision-making quality, emphasizing the necessity of ...
Post a Comment

The Use of Big Data and Business Intelligence in Management Accounting Decision Making

-

 Digital transformation drives a paradigm shift in management accounting, where Big Data and Business Intelligence (BI) now play a strategic role in supporting data-based decision making. This article aims to comprehensively examine how the integration of the two technologies improves the effectiveness, speed, and accuracy of the managerial accounting process. The method used is a literature study with a descriptive qualitative approach, reviewing accredited scientific publications for the 2020–2025 period. The results of the study show that Big Data provides real-time data volume and diversity (5V), while BI processes raw data into interactive and predictive visual information that supports budgeting, forecasting, and what-if analysis. The synergy of the two allows for more timely anomaly detection, performance prediction, and strategic recommendations, while minimizing the risk of human error. On the other hand, the implementation of Big Data and BI faces significant challenges related to IT infrastructure, Human Resource competency, system integration, and data security and governance. To that end, organizations need to prepare a digital roadmap that includes HR training, information system audits, and data protection policies, supported by top management commitment and long-term investment. In conclusion, the combination of Big Data and BI is not just a technical tool, but a strategic pillar that transforms management accounting into a proactive, predictive, and value-added function for companies in the digital era.

Comments

Post a Comment

Popular posts from this blog

Business Intelligence: What It Is and Why It Matters?

-
  B usiness Intelligence, often written as BI, provides companies with immensely valuable actionable data to make informed and timely decisions to excel and stay ahead of the competition in the fiercely competitive tech landscape. It employs a wide array of methods and strategies from how data is organized and analyzed to how the findings are reported. Simply put, BI is used to answer questions as to how the company performed in the past and why the outcomes turned out that way. It typically presents information in user-friendly dashboards and data visualizations that chart and graph key matrices with the help of handy BI tools. The significance of BI in the realm of tech cannot be emphasized enough and just to give you a glimpse of it, we have put together this comprehensive blog which will delve into what, why, how, and when of the BI. Let’s dive deep into it for more insights. Before going into the details, it is highly pertinent to clear up the confusion that frequently pops up...
Read more

Business Intelligence Trends: 10 Innovations for 2026

-
  The biggest BI challenge is no longer collecting information—it’s making sense of complex, scattered datasets and turning them into strategic decisions at scale. As data volumes grow and speed becomes a competitive advantage, BI teams must adapt to new technologies and evolving business needs. This article breaks down the key business intelligence trends shaping 2026, from AI-powered analytics to new approaches in data governance. Staying ahead of these developments will help businesses streamline reporting, enhance decision-making, and maximize the value of their data. Augmented Analytics Augmented analytics is an approach to data analytics that employs advanced technologies such as AI and machine learning to automate data preparation, insight generation, and insight sharing. A primary distinction between augmented analytics and traditional analytics methods lies in the former's emphasis on automation and accessibility. Traditional analytics typically involve manual processes an...
Read more

Optimizing Business Intelligence for Strategic Advantage

-
  Business Intelligence (BI) has become essential for strategic decision-making in the current business context. This article explores BI’s importance, history, key concepts and terminologies, advantages and practical applications in different sectors. Additionally, it addresses the available BI tools and future trends that promise to transform the industry. What is Business Intelligence? Business Intelligence  has emerged as an essential tool in the modern business world, empowering organizations to collect, process, and analyze data to obtain valuable insights and make informed strategic decisions. In a scenario where the amount of generated data is growing exponentially, the ability to transform raw data into actionable information has become a competitive advantage. Definition and Importance of BI Business Intelligence refers to processes, technologies, and tools used to collect, integrate, analyze, and present business information. The primary goal of BI is to help organi...
Read more