What Is Business Intelligence?
In today’s technology-driven environment, more and more businesses worldwide have adopted business intelligence (BI) tools to help drive their strategic decision-making. For this reason, you may have asked yourself, ‘What is business intelligence?’ and ‘How can it benefit me?’
Fortunately, throughout this blog, we will answer these questions and outline how business intelligence works, its process and potential benefits, and how Virtual BI can help you harness the full potential of BI for your business.
Defining Business Intelligence
With all the recent advancements in technology and artificial intelligence, there has been lots of talk and speculation about business intelligence and its benefits. But what really is business intelligence? If you’re after answers, you’ve come to the right place.
Well, as a whole, business intelligence comprises several processes and strategies that involve collecting, analysing, visualising, and transforming raw data into actionable insights that drive informed decision-making. It involves a combination of tools and applications that enable businesses to gather data from various sources, process and analyse it, and present the findings in a visual format that is easy to understand and utilise to make more informed decisions.
What Are Business
Business intelligence tools are all about helping you better understand your business in the form of actionable insights derived from comprehensive data analysis. Business Intelligence tools are comprised of several key components that work together, like data integration, modelling, and storage, to enable effective data analysis, visualisation and reporting.
In Australia, several popular business intelligence (BI) tools are widely used by organisations to extract insights from their data. While the popularity of specific tools can vary based on industry, company size, and specific requirements, here are some of the most well-known and widely used BI tools in Australia:
Microsoft Power BI
Tableau & Tableau CRM
It is important to understand that the above list is not exhaustive and that choosing the right BI tool depends on the nature of your business, its, goals, needs, budget and scalability requirements. It is, thereby, recommended that you evaluate multiple options before deciding on what business intelligence tool is most suited to your business and its goals.
Why Use Business Intelligence?
In today's data-driven world, businesses are harnessing the power of data like never before to gain an advantage over their competitors. The way in which they are able to do so is the implementation and use of BI tools within their internal operations.
The most fundamental advantage of BI is its ability to transform raw data into actionable insights that drive strategic decision-making. BI is able to identify emerging trends and uncover hidden opportunities and potential risks that may not have otherwise been apparent at first glance. By extracting and visualising meaningful insights from large data sets, BI is able to not only identify past trends but predict future patterns so that businesses can make more informed choices.
How Business Intelligence Works
Business intelligence empowers organisations to unleash the potential of their data and harness it for making strategic decisions. While there may be slight variations among different BI platforms, they all commonly adhere to four-stage processes involving data collection, analysis, visualisation and decision-making. This standardised approach ensures a systematic and comprehensive utilisation of data to drive informed decision-making and gain a competitive advantage.
1. Extract & Collect Data From Various Sources
The first stage of the business intelligence process is data collection. Here, data can be gathered from various sources, such as external databases, spreadsheets, customer interactions, social media platforms, and external data providers. This data may include sales figures, customer demographics, website traffic, etc.
2. Data Analysis and Integration
Once the data is collected, the next stage involves analysing and integrating it into your existing business processes. Here, data analysis techniques like statistical analysis, data mining, and data profiling are employed to identify patterns, trends, and correlations within the data.
3. Data Visualisation and Reporting
In the third stage, the data gathered and analysed from the previous stages are transformed into visually appealing and easily interpretable formats through various visualisation techniques. Here, charts, graphs, dashboards, and interactive reports are created to present the insights derived from the analysed data.
4. Make Informed Decisions Based on Insights
The final stage involves interpreting the data and using it to drive decision-making. Here, decision-makers and stakeholders evaluate the findings and identify potential future risks and opportunities and areas of improvement. From this, actionable strategies and plans are developed, implemented, and monitored to enhance operational performance.
Make the Intelligent Choice Today
At Virtual BI, we understand that running a business is incredibly complex and time-consuming. Fortunately, we’re here to make it easier for you. Combining our experience in data collection, analysis, monitoring and consulting alongside our expert knowledge in all things related to Power BI, we empower businesses to unleash the power of their data.
In order to do so, Virtual BI utilises the best business intelligence tools on the market, such as SQL Server, Oracle, Snowflake, Power BI and the Azure Fabric (which includes Azure Data Factory, Data Warehouse, Data Science and Real-Time Analytics). This way, we can ensure our clients are armed with the most accurate information to make more strategic business decisions.
With our consulting, modelling, and reporting services, we can assist businesses in leveraging their data to make more strategic business decisions likely to benefit them in the long run. Contact a member of our friendly team today to see how we
can help your business thrive.
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