{"id":19521,"date":"2026-07-13T13:02:38","date_gmt":"2026-07-13T13:02:38","guid":{"rendered":"https:\/\/www.f5tci.com\/?p=19521"},"modified":"2026-07-13T16:53:24","modified_gmt":"2026-07-13T16:53:24","slug":"gartner-magic-quadrant-bi-analytics","status":"publish","type":"post","link":"https:\/\/www.f5tci.com\/en\/2026-07-13_gartner-magic-quadrant-bi-analytics\/","title":{"rendered":"Gartner Magic Quadrant 2026: BI Beyond Dashboards!"},"content":{"rendered":"
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Gartner Magic Quadrant for Analytics and BI Platforms<\/strong><\/a> it\u2019s the annual benchmark that evaluates the market\u2019s leading analytics vendors. And this year, it confirms a shift we\u2019ve been seeing on the ground: an analytics platform is no longer defined by its ability to build dashboards or distribute reports.<\/span><\/p>\n

It\u2019s now measured by its ability to give AI agents the context and control they need<\/strong>, agents that no longer just answer questions, but recommend, decide, and execute.<\/p>\n

The report itself highlights the forces behind this shift:
\nGovernance<\/strong>, once focused mainly on data and models, now extends to the automated decisions made by AI agents \u2014 decisions that must be explainable and auditable.
The rise of real\u2011time intelligence<\/strong> allows analytics to move beyond hindsight and support decisions at the exact moment data happens.\nAnd technologies like semantic layers and ontologies<\/strong> are becoming essential to ensure AI responses are consistent and reliable, not just plausible.<\/span><\/p>\n

In short, the opportunity lies in turning BI into a governed foundation that accelerates decision\u2011making.\nThe risk lies in automating on top of data, metrics, and processes that are still fragmented.<\/span><\/p>\n

Microsoft<\/strong> and Qlik<\/strong> appear as leaders<\/strong>, each with a distinct approach: one more tightly integrated within a broader technology ecosystem; the other more open and associative, designed for heterogeneous data environments.<\/span><\/p>\n

In the projects we support, this choice is rarely decided by features alone. It\u2019s driven by the architecture a company already has, and by the ambition it has for AI.\nAn organization heavily invested in Azure and Microsoft 365 tends to gain more from Power BI and Fabric, simplifying an architecture that already exists.\nAn organization operating across multiple clouds, legacy systems, or with a strong need to explore data without predefined paths often finds Qlik to be the more flexible answer.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>

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Microsoft Power BI: integration as a core advantage<\/h4><\/span><\/span>\n<\/div><\/div><\/div><\/div><\/div>
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Power BI\u2019s strength<\/strong> lies in its market presence and its native integration with Teams and Excel, which accelerates adoption. With Microsoft Fabric<\/strong>, it brings data engineering, storage, Business Intelligence, and AI together in a single platform.<\/p>\n

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Strengths:<\/span><\/strong><\/h6>\n