Business intelligence Wikipedia

  11. Mai 2023, von Sebastian

This is called the cycle of analytics, a modern term explaining how businesses use analytics to react to changing questions and expectations. Cloud-based BI tools require no specific hardware setup, sometimes just requiring an online connection. Since resources accessed remotely, a cloud-based BI strategy is quicker to get running and easier to scale with a company’s data needs.

Business intelligence (BI) is software that ingests business data and presents it in user-friendly views such as reports, dashboards, charts and graphs. BI tools enable business users to access different types of data — historical and current, third-party and in-house, as well as semi-structured data and unstructured data like social media. Users can analyze this information to gain insights into how the business is performing. While data analytics focuses on uncovering insights, business intelligence focuses on turning those insights into actionable strategies. BI tools consolidate data from various sources, transforming it into understandable reports, dashboards, and visualizations that provide a holistic view of an organization’s performance. Other tools are used to analyze and report on data; these are the products that are referred to as business intelligence tools.

They also set up and standardize the reports that managers are going to be generating to make sure that results are consistent and meaningful across your organization. Business intelligence processes include collecting data, creating models, analyzing the data with queries, creating data visualizations such as charts, and producing reports to be used by business decision-makers. Business intelligence (BI) is a specialist function that uses technology, data tools and services to provide insights that guide business decisions and business monitoring. These insights often take the form of metrics and visualized data to give an overview of the organization’s current state. Increasingly, companies are choosing cloud-based BI tools that connect to more data sources and are available 24×7 from anywhere.

Business intelligence functions often provide a single source of truth for critical business metrics, ensuring there is a clear view on particular bits of information across the organization. They achieve this by being the specialist center, quality checking data and validating metrics to ensure they are accurate. They’re flexible tools with a wide variety of features that BI teams can use in a sophisticated way. Spreadsheets are a valuable tool because they don’t require in-depth specialist training, which means they’re accessible to many functions within a corporation. Business intelligence has been around for over 30 years and traditionally, it was driven by IT.

Business intelligence can help a company to operate more efficiently and cost-effectively and also to be more competitive in the marketplace. Business intelligence teams make use of data visualization tools to present data and trends in an accessible format. Data visualization is often used by BI teams to provide the business with self-service information. A single-platform approach offers an end-to-end solution that includes gathering, analyzing, and interpreting data, with everything working together so there are no compatibility issues.

Interactive dashboards and reports highlight trends, anomalies, and opportunities, helping stakeholders monitor progress toward goals and adjust strategies as needed. Data analytics holds the key to unlocking hidden insights within the vast sea of data generated by businesses. By employing various techniques such as descriptive, diagnostic, predictive, and prescriptive analytics, organizations can make sense of their data to understand trends, root causes of issues, and potential outcomes.

And they are choosing solutions that offer embedded BI – BI that is embedded directly into workflows and processes so users can make better decisions in the moment and in context. Self-service BI and data visualization tools have become the standard for modern BI software. Tableau, Qlik and Spotfire, which is now part of Tibco Software, took the lead in developing self-service technology early and became prominent competitors in the BI market by 2010. Most vendors of traditional BI query and reporting tools have followed in their path since then. Now, virtually every major BI tool incorporates self-service features, such as visual data discovery and ad hoc querying. 3 By the 1990s, business intelligence grew increasingly popular, but the technology was still complex.

What is business intelligence?

BI just automates the otherwise tedious process of data extraction and analysis, making your job a whole lot easier—and more effective. Using business intelligence tools, Hershey identified trends and used that intelligence to drive decision-making to make its position as strong as possible for the coming summer. This is just one example of how companies are using business intelligence today. Advanced BI and analytics systems may also integrate artificial intelligence (AI) and machine learning to automate and streamline complex tasks.

There appear to be few disadvantages as a result of improved business information. Some forms of self-service BI can lead to confusion if stakeholders misunderstand or misinterpret dashboards or visualizations. The business intelligence function is generally responsible for three stages of work in delivering information to the organization. The ability to visualise data and see it in context is one area where BI really shines.

  • You want a smart solution that lets you quickly and easily search for what you need and get to the data directly—one that allows you ask questions and receive answers in human language rather than code.
  • Tableau, Qlik and Spotfire, which is now part of Tibco Software, took the lead in developing self-service technology early and became prominent competitors in the BI market by 2010.
  • Think of it like the difference between a study conducted about a technical health topic and an article published about the study.

Business analytics is an umbrella term for data analysis techniques that can also predict what will happen and show what’s needed to create better outcomes. A solution that incorporates AI and machine learning can provide you with a personalized assistant that understands what you need—when and where you need it. The personalized assistant can determine what business report and graphics are required for your business meeting.

Augmented analytics

Having a functional data pipeline for data collection and storage is a prerequisite to performing data analyses. If data is not thorough, then gaps in the data may result in bias in the results. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. That said, well-resourced BI functions may include training and extensive documentation alongside sharing self-service tools in order to limit misinterpretation.

Synergizing Data Analytics and Business Intelligence

Potential uses include site selection for retail stores and corporate facilities, location-based marketing and logistics management. SaaS BI tools use cloud computing systems hosted by vendors to deliver data analysis capabilities to users in the form of a service that’s typically priced on a subscription basis. Also known as cloud BI, the SaaS option increasingly offers multi-cloud support, which enables organizations to deploy BI applications on different cloud platforms to meet user needs and avoid vendor lock-in. In real-time BI applications, data is analyzed as it’s created, collected and processed to give users an up-to-date view of business operations, customer behavior, financial markets and other areas of interest.

With a BI program, It is possible for businesses to create reports with a single click thus saves lots of time and resources. It helps branch manager to determine who are the most profitable customers and which customers they should work on. Many of these data types, however, like e-mails, word processing text files, PDFs, PPTs, image-files, and video-files conform to a standard that offers the possibility of metadata. Metadata can include information such as author and time of creation, and this can be stored in a relational database. Therefore, it may be more accurate to talk about this as semi-structured documents or data,[18] but no specific consensus seems to have been reached. Once you have all of your data sources collected, you’re ready to choose the tools to transform, analyze, and learn from the data.


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