{"id":12609,"date":"2026-09-17T09:00:00","date_gmt":"2026-09-17T09:00:00","guid":{"rendered":"https:\/\/iwis.io\/?p=12609"},"modified":"2026-09-17T22:23:34","modified_gmt":"2026-09-17T22:23:34","slug":"copilot-power-bi-fabric","status":"publish","type":"post","link":"https:\/\/iwis.io\/en\/blog\/copilot-power-bi-fabric\/","title":{"rendered":"Copilot in Power BI and Fabric: What AI Brings to Business Analytics"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>How Copilot in Power BI and Microsoft Fabric builds reports, generates DAX and answers questions about your data in natural language \u2014 and what it takes for AI analytics to actually pay off.<\/p>\n","protected":false},"author":4,"featured_media":12589,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[208,350],"tags":[],"class_list":["post-12609","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-business-intelligence"],"acf":{"blog_custom_title":"","blog_featured_image":12611,"blog_custom_excerpt":"How Copilot in Power BI and Microsoft Fabric builds reports, generates DAX and answers questions about your data in natural language \u2014 and what it takes for AI analytics to actually pay off.","blog_external_url":"","blog_categories":[208,350],"blog_tags":false,"blog_featured_post":false,"blog_author":9880,"blog_faq_questions":[12590,12593,12596,12599,12602,12605],"blog_content_blocks":[{"acf_fc_layout":"text_block","text_content":"At Microsoft Build 2023, an HR analyst asked Power BI to show employee demographics and hiring trends in plain language. Copilot analysed the data model, assembled a report page, and turned the next question \u2014 about staff turnover \u2014 into a separate piece of analysis.\r\n\r\nBack then, <strong>Copilot in Power BI<\/strong> was available only in a limited preview. In 2026 it already creates and edits reports from text prompts, helps with DAX, generates summaries and answers questions about data in natural language.\r\n\r\nFor businesses, the main shift is the way people work with BI: some tasks can now start with a simple question to the data. Let's look at how <strong>Copilot Power BI<\/strong> works, what it can do and where an analyst is still needed."},{"acf_fc_layout":"text_block","text_content":"<h2>What Copilot in Power BI and Microsoft Fabric is<\/h2>\r\n<strong>Power BI Copilot<\/strong> is a set of generative AI features for working with reports and data in natural language. It takes into account the tables, fields, measures, relationships and metadata of the semantic model, so the quality of the result depends directly on how well that model is prepared.\r\n\r\nIn Power BI, Copilot's capabilities can broadly be split into two scenarios:"},{"acf_fc_layout":"list_block","list_title":"","list_type":"ul","list_items":[{"item_text":"for report authors \u2014 help with building pages, visuals and DAX queries, and with working on the semantic model;"},{"item_text":"for report consumers \u2014 summaries, explanations and answers to questions about data already available in the model."}]},{"acf_fc_layout":"text_block","text_content":"<strong>Copilot in Microsoft Fabric<\/strong> goes wider than Power BI and covers Data Engineering, Data Science, Data Warehouse, SQL Database and other Fabric components. Among other things, you can generate SQL in natural language and, in the code environment, create and explain code.\r\n\r\nFor companies that are only now building out <a href=\"https:\/\/iwis.io\/en\/blog\/power-bi-for-business\/\">Power BI for business<\/a>, one thing is worth keeping in mind: Copilot will not fix chaotic sources, broken relationships or ambiguous KPIs. It works on top of an analytics system that already exists."},{"acf_fc_layout":"text_block","text_content":"<h2>What tasks Copilot solves<\/h2>\r\n<strong>What Copilot in Power BI can do<\/strong> is clearest in specific tasks: working with DAX, analysing reports and creating visualisations.\r\n<h3>Generating DAX formulas and measures<\/h3>\r\nDAX remains one of the most technical parts of Power BI: even a routine year-over-year sales comparison requires handling context, the calendar and measures correctly.\r\n\r\nCopilot lets you describe the result you need in words and returns a DAX query \u2014 for example, to calculate an annual growth rate or select a particular customer group. The result can be checked in DAX Query View.\r\n\r\nIn web modelling, Copilot can also generate DAX measures and suggest changes to the semantic model.\r\n\r\nThis speeds up routine calculations, but formulas for financial KPIs and management reporting still have to be verified. For more on calculation logic, see our article on <a href=\"https:\/\/iwis.io\/en\/blog\/dax-formulas-in-power-bi\/\">DAX formulas in Power BI<\/a>."},{"acf_fc_layout":"text_block","text_content":"<h3>Summaries and report explanations in natural language<\/h3>\r\nIn the <strong>natural language analytics<\/strong> scenario, a user can ask Copilot to explain an existing report, produce a summary or answer a specific question about the data.\r\n\r\nCopilot can analyse an entire report, a single page or particular visuals. The answer can also be cross-checked against the visuals it is based on.\r\n\r\nFor instance, a manager can ask which categories contributed most to sales over a period instead of manually comparing several visuals."},{"acf_fc_layout":"text_block","text_content":"<h3>Creating visuals from a text description<\/h3>\r\n<strong>Copilot for report creation<\/strong> lets you describe the page you need in text. The system picks the tables, fields, measures and visualisation types, and the result can then be edited manually or through Copilot.\r\n\r\nPeople often search for this as <strong>Copilot for dashboards<\/strong>, but in Power BI Copilot actually creates report pages, which can then be used to build a dashboard.\r\n\r\n<strong>Artificial intelligence in Power BI<\/strong> shortens the path from idea to first draft of a report, although the quality of the result still depends on the data model and the business logic."},{"acf_fc_layout":"text_block","text_content":"<h2>Limitations and risks of AI analytics<\/h2>\r\nCopilot's weakest point is context. If the model has ambiguous measure names, undocumented business terms or a confusing table structure, <strong>AI in Power BI<\/strong> may misinterpret the request.\r\n\r\nMicrosoft warns that Copilot's answers are non-deterministic: the same prompt may produce slightly different results. That is why the company recommends preparing the semantic model for AI \u2014 simplifying it, describing business terms and setting verified answers to critical questions in advance.\r\n\r\nIn practice, the main limitations look like this:"},{"acf_fc_layout":"table_block","table_header":[{"header_text":"Risk"},{"header_text":"What it means for the business"}],"table_rows":[{"row_cells":[{"cell_content":"Ambiguous data model"},{"cell_content":"Copilot may misinterpret fields, metrics or relationships"}]},{"row_cells":[{"cell_content":"An error in generated DAX"},{"cell_content":"The formula may look correct but calculate a KPI with the wrong logic"}]},{"row_cells":[{"cell_content":"Inaccurate text conclusion"},{"cell_content":"AI can produce a convincing explanation that needs to be checked against the report itself"}]},{"row_cells":[{"cell_content":"Access rights"},{"cell_content":"Roles and user access have to be configured correctly before rollout"}]},{"row_cells":[{"cell_content":"Technical requirements"},{"cell_content":"Copilot requires supported infrastructure and an appropriate Fabric or Power BI Premium capacity"}]}]},{"acf_fc_layout":"text_block","text_content":"Generated DAX has to be verified before it is used. Copilot operates within the permissions of the specific user, and according to Microsoft's documentation, organisational data is not used to train the foundation models.\r\n\r\nThere is also a technology caveat. In 2026, part of Copilot's capabilities in Power BI is already generally available, while individual AI features in Data Factory, Data Engineering, Data Science, Data Warehouse and Real-Time Intelligence in Fabric are still in preview. So before rolling out <strong>Copilot in Microsoft Fabric<\/strong>, it is worth checking the status of the specific feature the company plans to use."},{"acf_fc_layout":"highlight_block","highlight_text":"<strong>Data analysis with AI<\/strong> requires oversight: the more important the business decision, the more important it is to verify the model, the calculation and the source of the answer."},{"acf_fc_layout":"text_block","text_content":"<h2>Is business in Ukraine ready for AI in BI<\/h2>\r\nInterest in AI among Ukrainian companies can hardly be called experimental any more. Among more than 200 Ukrainian companies surveyed, 93% already use artificial intelligence. The most common areas of use include data and market analysis and forecasting.\r\n\r\nFor <strong>AI in business analytics<\/strong>, the main challenge is the quality of corporate data and the ability to use AI-generated conclusions in management decisions. So far, Ukrainian businesses use AI more often to automate routine work than for strategic analytics and decision support.\r\n\r\nThis is exactly where the line of readiness for <strong>generative AI in business intelligence<\/strong> runs. Rolling out Copilot takes more than giving employees access to a new tool. It needs a foundation it can actually work with:"},{"acf_fc_layout":"list_block","list_title":"","list_type":"ul","list_items":[{"item_text":"up-to-date centralised data;"},{"item_text":"agreed KPIs;"},{"item_text":"a correct Power BI semantic model;"},{"item_text":"configured access rights;"},{"item_text":"control over AI answers."}]},{"acf_fc_layout":"text_block","text_content":"For a company with a mature BI system, <strong>AI in Microsoft Fabric<\/strong> can be the next stage of development. If data is still collected manually from Excel files, the analytics system itself has to be put in order first.\r\n\r\nMicrosoft is also developing tools for preparing models for AI: AI data schemas, business instructions and verified answers. For <strong>natural language analytics<\/strong> this is critical: Copilot has to correctly understand not only the data, but the business context as well."},{"acf_fc_layout":"text_block","text_content":"<h2>How IWIS implements AI tools in client analytics<\/h2>\r\nWe start implementing <strong>AI in business analytics<\/strong> with data preparation: analysing sources, resolving inconsistencies, aligning KPIs and building the analytical model.\r\n\r\nFor example, for Planeta Kino the IWIS team built a data warehouse, an integration with Google Analytics and custom processes for handling and enriching information. A separate research track worked with machine learning models for forecasting and segmentation. This kind of technology foundation can serve as the basis for further use of generative artificial intelligence.\r\n\r\nDuring <a href=\"https:\/\/iwis.io\/en\/service\/business-analytics-bi\/\">business analytics implementation on Power BI<\/a>, AI features are connected to a data model that has already been validated. Depending on the objectives, these may include:"},{"acf_fc_layout":"list_block","list_title":"","list_type":"ul","list_items":[{"item_text":"Copilot for report creation and individual visuals;"},{"item_text":"generating and verifying DAX;"},{"item_text":"text summaries for executives;"},{"item_text":"natural-language queries to data;"},{"item_text":"Copilot Microsoft Fabric capabilities for working with data, SQL and code."}]},{"acf_fc_layout":"text_block","text_content":"It makes sense to test AI features on one measurable scenario first \u2014 for example, speeding up the preparation of management reports or explaining dashboards to executives.\r\n\r\nThat way the value of <strong>artificial intelligence in Power BI<\/strong> can be assessed before scaling it to the whole company."},{"acf_fc_layout":"cta_block","cta_title":"Free consultation from IWIS","cta_text":"If your company already uses Power BI or plans to add Microsoft Fabric Copilot, the IWIS team will help you assess how ready your data is and identify the AI scenarios that make practical sense for your particular system. Book a free consultation to find out where Copilot can cut manual analytics work and what it takes to implement it properly.","cta_button_label":"Book a consultation","cta_button_url":"https:\/\/iwis.io\/en\/contact\/"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Copilot in Power BI and Fabric: AI in Business Analytics<\/title>\n<meta name=\"description\" content=\"What Copilot in Power BI and Microsoft Fabric does: report generation, DAX help, natural-language summaries \u2014 and the limits of AI analytics. 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