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4 January 2022

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...

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9 December 2021

When use business intelligence?

Business Intelligence (BI) is one of the key determinants of a companies' competitiveness. Thanks to it, the management board, managers, and lower-level employees have constant access to critical information. BI allows them to make the right business decisions. Why is business analytics so crucial for running a business? You can...

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5 November 2021

EBIS at Smart City Expo 2021 in Barcelona

We are pleased to announce that EBIS will take part in Smart City World Expo in Barcelona on 16-18 November. Since 2011 this event gathers companies that present innovative solutions aimed at smart city development. Why is it worth taking part in Smart City Expo 2021? Smart City Expo is...

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15 April 2021

EBIS is a Microsoft Gold Partner

EBIS has joined the ranks of Microsoft Gold Certified Partners. It is the highest title that Microsoft can grant to the companies cooperating with. Obtaining such a prestigious award guarantees access to Microsoft resources and technologies, technical, marketing and business support in the broadest range. Above all, however, it is...

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1 July 2020

Azure 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...

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8 July 2020

Azure 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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