Business analytics, often also called Business Intelligence (BI), describes the systematic collection, processing, and analysis of company data so that decisions are based on verifiable key performance indicators (KPIs) rather than gut feeling. For an SME, BI... Click to learn more . BI is a crucial tool for companies to make informed business decisions. But what exactly is behind it? Essentially, BI refers to technologies and strategies that serve to transform raw data into actionable information.
Why is business analytics (BI) important?
Today, companies are confronted with a flood of data. From sales figures to customer feedback (customer feedback is the structured feedback from clients, buyers, or users on offerings, service, communication, and customer experience. For SMEs, customer feedback is not a secondary concern, but rather... Click to learn more) to social media interactions – the amount of available information is enormous. BI helps to collect and analyze this data and transform it into actionable insights that you can use to optimize your business processes and gain a competitive edge. Business processes are repeatable sequences of tasks, responsibilities, and handoffs that produce a concrete result in a company. A business process begins with a trigger, continues... Click to learn more
How does business analytics (BI) work?
BI encompasses various components that work together to combine data into a useful, holistic picture. Here are the main components:
Data source
BI systems obtain data from different sources, such as:
- Internal databases
- ERP systems (Enterprise Resource Planning)
- CRM systems (Customer Relationship ManagementCustomer Relationship Management (CRM) is a company-wide strategy that allows you to systematically organize contacts, interactions, sales opportunities, and tasks throughout the customer relationship. A CRM for... Click to learn more)
- External data sources (e.g. market research)
- social media platforms
data storage
Once the data has been collected, it is stored in a data warehouse or data lake . What does "data lake" mean? Imagine a huge lake full of data. Sounds overwhelming? Don't worry, you're not alone. A data lake is... Click to learn more . Here, the data is organized and made available for analysis.
Intelligent Data Analysis
The data is then examined using various analysis tools. This can be done through simple queries, complex algorithms (an algorithm is basically a step-by-step guide that solves a specific problem or completes a task. Imagine you want to bake a cake... Click to learn more ) , or machine learning (machine learning is one of the most exciting areas of computer science and has gained enormous importance in recent years. In short, it involves... Click to learn more ).
Dashboards and reports
Finally, the analyzed data is visualized in the form of dashboards and reports. These serve to facilitate decision-making and present insights in an understandable way.
Practical examples of business analytics (BI)
To better understand the application of business analytics, here are some practical examples:
- Sales analysis: A retail company analyzes sales data to identify which products are selling well and which aren't. This information can be used to optimize inventory decisions and marketing strategies.
- Customer behavior: An online retailer uses BI to analyze visitor behavior on its website. Where do customers click? Which pages do they quickly leave? Such insights help User ExperienceUser experience (also UX, user experience, user experience) describes the overall experience a user has when interacting with a software application, website, product, or service.... Click to learn more to improve.
- Financial forecasts: A CFO uses BI to analyze past expenses and revenues and create future financial plans based on them. Budgetdecisions are made.
- Human resources management: With BI tools, you analyze employee data to gain insights into turnover rates, absenteeism, and employee performance. This helps develop improvement strategies for human resource management.
The role of technology in business analytics
Today, there are numerous BI tools that help companies make the most of their data. Among the most popular are:
Board: A powerful visualization tool that creates clear graphics from complex data sets.
PowerBI: A Microsoft product that integrates seamlessly with other Microsoft services and provides powerful analytics capabilities.
QlikSense: Enables users to visually display even complex data and perform analyses.
The future of business analytics (BI)
The future of business analytics will be significantly shaped by artificial intelligence ( AI) . Artificial intelligence is the umbrella term for digital systems that recognize patterns in data and take over tasks that would otherwise require human perception, assessment, or decision-making... Click to learn more . These technologies will make it possible to gain even deeper insights into data and make predictions with unprecedented accuracy. Companies that invest in these technologies early on will have a decisive advantage.
expert opinion
With over 20 years of experience in communication, digitalization, and marketing, I've seen how business analytics has evolved from an option to a necessity. Companies that ignore BI risk missing crucial opportunities and falling behind in a highly competitive market. In such a dynamic field, continuous learning and integration of the latest technologies are essential.
In conclusion, business analytics (BI) is a powerful tool that goes far beyond simple data analysis. It offers the opportunity to gain deeper insights, optimize processes, and make informed decisions. In a world where data is the new currency, it can make all the difference.
