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Showing posts from February, 2026

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

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

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 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 ...
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Top Business Intelligence Trends – Key Insights

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  Before diving into today’s business intelligence trends, it’s helpful to understand a key distinction in the business intelligence space. Two powerful approaches often get mixed up: Business Intelligence (BI) and Business Analytics (BA). While both help companies make smarter decisions, they serve different purposes. BI focuses on understanding what’s happening right now and what happened in the past by pulling together historical data from various data sources – think of it as your business’s rear-view mirror and dashboard combined. BA, on the other hand, uses predictive analytics and artificial intelligence to forecast future outcomes – more like a GPS suggesting possible routes ahead. This guide zeros in on business intelligence: the tools, trends, and techniques that help companies make sense of their current situation. From handling sensitive data to ensuring data quality management, BI software has evolved far beyond simple data storage and reporting. While buzzwords like g...
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Business intelligence model empowering SMEs to make better decisions and enhance their competitive advantage

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  Small and medium-sized businesses (SMEs) typically steer clear of implementing business intelligence (BI) systems because they feel that this sort of modeling is complicated and costly. But the market for business intelligence (BI) has evolved quickly. New opportunities like cloud computing have greatly lowered prices and eventually made it possible to design integrated solutions that are only intended for SMEs. In addition to highlighting the research trends in the sector under investigation, this paper explores the function of business intelligence in enhancing the decision-making process and competitive advantage of SMEs. The research subject has been approached using bibliometric analysis using the R package. The display of the results was done with the aid of Biblioshiny and VOSviewer's bibliometric tools. The study highlighted that SMEs have started integrating Business Intelligence systems. However, a new business model that will combine business analytics and will ensure ...
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Business Intelligence: What It Is and Why It Matters?

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  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...
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Business Intelligence Trends: 10 Innovations for 2026

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  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...
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Optimizing Business Intelligence for Strategic Advantage

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

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  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 ...
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The Impact of Business Intelligence on the Quality of Decision Making – A Mediation Model

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  Business intelligence (BI) isn’t just a buzzword. Companies of all sizes are turning to BI tools to guide decisions with hard data. And it’s a field that’s growing quickly. According to   Fortune Business Insights , the global BI market was valued at $31.98 billion in 2024 and is projected to reach $63.20 billion by 2032. For small businesses and large enterprises alike, BI tools can uncover hidden trends, cut operating costs and strengthen customer relationships. We’ll break down the pros and cons of BI, explore how it compares to competitive intelligence and artificial intelligence, and show you where it can give your business an edge and help you  stand out from the competition . What is business intelligence? Business intelligence is an umbrella term for the strategies, processes and technologies companies use to turn data into better decisions. At its core, BI transforms raw data into actionable insights. These systems pull together information from across your bus...
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Everything you need to know about business intelligence (BI)

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  Business Intelligence (BI) is a method for analyzing business data to make informed decisions. It analyzes business information and transforms it into actionable insights. These insights guide both strategic decisions, tactics and practices, increasing business performance, fueling growth, streamlining operations, and minimizing risks. Turnng data into actionable insights Business Intelligence, also called business analytics, provides tools and techniques to turn large, disparate datasets into useful information. The term business intelligence encompasses several key techniques: Data mining:  Uncovering hidden patterns, relationships, and trends within large datasets to gain actionable knowledge. Data analysis:  Examining, cleaning, transforming, and modeling data to derive meaningful insights and inform decision-making. Performance benchmarking:  Comparing an organization's key performance indicators against industry standards or competitors to identify strengths ...
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