Title: Business Intelligence Author: Kriko Published: May 29, 2023 Last modified: Jul 7, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. B Letter # Business Intelligence **Business intelligence**, commonly abbreviated as BI, is a [data analysis](https://kriko.io/services/data-analysis-insight) and decision-support approach that helps organisations transform information from different sources into meaningful insights. It brings together processes such as [data](https://kriko.io/services/data-analysis-insight) collection, preparation, analysis, reporting and visualisation. Business intelligence is not a single software product. It is an integrated structure consisting of different technologies, methods and business processes. The primary purpose of business intelligence is to provide reliable and understandable access to organisational data. Information from sales, marketing, finance, operations, human resources and customer service can be analysed together. The results are presented through tables, charts, reports and interactive dashboards. This enables managers and teams to assess current conditions and base their decisions on measurable evidence. Business intelligence solutions can serve different user groups, ranging from senior executives to departmental employees. The information required by each user varies according to their responsibilities and decision-making authority. Senior management may focus on strategic objectives and overall performance, while operational teams may monitor daily activities and detailed performance indicators. Reports and dashboards should therefore be designed according to user roles, access permissions and information requirements. **[Data](https://kriko.io/services/data-analysis-insight) warehouses** are frequently used in business intelligence processes, although they are not mandatory for every BI implementation. A [data](https://kriko.io/services/data-analysis-insight) warehouse combines information from different business systems according to common rules and stores it in a structure suitable for analysis. This can improve consistency by preventing the same metric from being calculated differently across separate departments. Modern BI solutions may also connect to [data](https://kriko.io/services/data-analysis-insight) lakes, cloud platforms, operational databases and application sources. Business intelligence helps organisations compare historical and current performance. Sales trends, budget results, customer behaviour, inventory levels and operational efficiency can all be monitored regularly. These analyses make it easier to identify performance declines, bottlenecks and unexpected changes at an earlier stage. Organisations can then improve processes and allocate resources more effectively. BI solutions can shorten decision-making cycles and enable organisations to respond more quickly to emerging developments. Real-time or regularly updated dashboards allow managers to monitor critical indicators through a single interface. Automated reporting can reduce the time spent combining [data](https://kriko.io/services/data-analysis-insight) manually and preparing spreadsheets. However, reliable reporting depends on effective management of [data](https://kriko.io/services/data-analysis-insight) quality, metric definitions and access controls. Business intelligence can also contribute to the development of a shared **[data](https://kriko.io/services/data-analysis-insight) language** across departments. Using consistent definitions for customers, revenue and conversions can reduce discrepancies between sales, marketing and finance reports. Centrally shared reports and dashboards enable teams to evaluate performance using the same information. This strengthens collaboration and can help resolve disagreements within decision-making processes more efficiently. Business intelligence may involve methods such as querying, reporting, [data](https://kriko.io/services/data-analysis-insight) visualisation, online analytical processing and performance measurement. [Data](https://kriko.io/services/data-analysis-insight) mining and statistical analysis may also be used in certain BI projects, although these fields are not identical to business intelligence. [Data](https://kriko.io/services/data-analysis-insight) mining focuses more specifically on discovering hidden patterns and relationships within large datasets. Business intelligence is generally used to understand historical and current information, monitor performance and support decisions. The success of a business intelligence initiative does not depend solely on the selected technology. The organisation must define appropriate performance indicators, use reliable data sources and understand user requirements. Unnecessary or poorly defined metrics may make decision-making more complex rather than improving it. BI projects should therefore be developed through close collaboration between technical teams and business departments. In summary, **business intelligence** is an important decision-support approach that transforms organisational data into understandable, consistent and actionable information. When implemented effectively, it helps businesses monitor performance, identify inefficiencies and evaluate strategic objectives more accurately. Data quality, governance, security and user needs must all be considered to produce reliable results. A well-designed BI environment can strengthen an organisation's data-driven decision-making culture. ## Discover it in the dictionary ### Artificial Intelligence Artificial intelligence, commonly abbreviated as AI, is a field of technology that aims to enable computer systems to perform tasks associated with human intelligence,… ### MLOps MLOps is a collection of practices and processes used to develop, deploy, monitor and manage machine learning models in a sustainable manner. 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