Business Intelligence Trends in 2022
Industry giants such as Microsoft, Google, IBM, Amazon and Oracle are the leaders in the global analytics market. They provide solutions that support businesses in their day-to-day work, which in the era of the still ongoing COVID-19 pandemic takes on particular importance. Although the situation now seems less troublesome and...
Read moreData analysis in the medical industry
Modern data analysis systems such as Microsoft's Power BI are not just the domain of large companies, banks and business organisations. Increasingly, they are also used in the healthcare sector. They help to streamline both medical procedures and administrative activities. Business intelligence tools in medicine Modern information technologies are a...
Read moreIs data the new oil of the 21st century?
Analysts from IDC, a leading research centre from the USA, argue that we are entering the era of the digital economy. As it turns out, they are not alone in their views. Economists also share their opinion. So how can data be used to ensure companies' stable growth? From data...
Read moreHow to make data analysis in marketing understandable and straightforward?
Analysing data from marketing campaigns is a complex process. This is because one wrong number can lead to an incorrect interpretation of the conducted activities. In this context, several problems arise - how to obtain high-quality data for analysis? How to make the analysis process as transparent as possible? How...
Read moreAzure Data Factory – faster data integration
In a world of large data, raw and disaggregated data is very often stored in different systems - both relational and non-relational. They also do not add value to the business as they do not have the right context or meaning to support analysts' actions or facilitate business decisions. With...
Read moreAzure Data Warehouse – a modern tool for aggregating distributed...
Aggregated and properly structured data is the foundation of all BI activities. Analysing them allows transforming the collected information into practical knowledge, which is used to draw conclusions and forecast phenomena. However, the success of these processes depends on the correct creation and use of a data warehouse. How does...
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