Chat GPT is a real revolution. We’ve been using automation and artificial intelligence in many industries for years, but Chat Open AI indisputably stole the show in media and business for a few months. It is used in many areas of life and work, so why not use it in analytics? Check out how Chat GPT is being used in the Power BI service.
Better data organisation, faster information processing, higher employee productivity. Sounds like a dream. But what if we told you it could be a reality? If your company works with datasets daily and if you are looking for ways to increase employee productivity, consider implementing Power BI.
Microsoft offers tools for end-to-end data work in companies. For example, with Microsoft Power Platform, employees create analytical solutions and collect and process data conveniently. The result is faster and more efficient work and business analysis. What products are included in the Microsoft platform? What are the different tools used for? What are the benefits of introducing them into your work? Read more.
The Microsoft Power Platform offers several IT solutions for businesses. These include Power BI tools. BI products are varied, so you can choose one to suit your needs or the size of your business. In addition, variants of the service offer more or less advanced analytical capabilities. Explore Power BI Pro, Power BI Premium, and Power BI Desktop and see their abilities.
Data analysis is important for every company – regardless of its size or years of experience. It provides a clear understanding of customer behaviour and relevant business information to ensure continued growth and the possibility of controlling errors that may occur. The potential that lies in the data is enormous and often becomes an element of a company’s competitive advantage. How can you improve data analysis in your company?
We are incredibly pleased to see that Microsoft has been ranked number one in the Gartner Magic Quadrant 2023 report for analytics and business intelligence platforms for the sixteenth consecutive year. In addition, Microsoft’s BI tools ranked most to the right regarding the completeness of vision and the highest ability to execute in the Magic Quadrant for the fifth consecutive year.
Can you imagine a situation where a company loses an important contract or a large amount of money due to incorrect data analysis? Although apparently, such events seem unlikely, in practice, it turns out that mistakes in data reading, its correct compilation or concluding often cause problems for entrepreneurs. Fortunately, with advanced business analysis tools such as Microsoft Power BI, the risk of mistakes is minimised to virtually zero.
Imagine a situation where you need sales volume data for the last quarter, but some of it is in different locations, in the cloud and locally, and your analytics team has a schedule overloaded with tasks. What should you do in this situation? It is worth implementing Microsoft Power BI and gaining access to all data aggregated in the company regardless of time and place!
Every company that plans to implement analytical tools should have a carefully prepared plan. Modern analytical systems, such as Power BI, give the possibility to select individual functions and adapt them to the chosen company objectives and a specific strategy. What factors, then, should be a clear signal to the entrepreneur that it is time to implement Power BI? How does this system support the functioning of companies? This will be discussed later in the article.
Looking for a simple but effective way to make sense of the data your company collects and extract valuable information from it? Microsoft Power BI is a powerful data analysis tool that can help you do that. This article will discuss the five simple steps you must follow to implement Power BI in your business. We will discuss how to get started with Power BI, connect to data sources, build reports and dashboards, share data and collaborate with others. Please read on if you want to understand better how using Power BI supports better business decisions.
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