[et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”0px|0px|0px|0px” global_colors_info=”{}”][et_pb_row module_class=”enbref” _builder_version=”4.27.5″ custom_margin=”||5%||false|false” custom_padding=”0px|||||” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text module_class=”enbref-content” _builder_version=”4.27.6″ custom_padding=”||12%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n
In brief<\/strong><\/p>\n In 2025, Oracle Analytics Cloud reached a major milestone with the introduction of a natural-language AI assistant, customizable dashboards, data streams capable of processing up to 5 million rows, and redesigned collaboration features. This update positions OAC at the heart of companies\u2019 data strategies. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.6″ custom_padding=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n The year 2025 marked a turning point for Oracle Analytics Cloud (OAC)<\/a>, with major innovations designed to transform the user experience and enhance the power of data analytics in the enterprise.<\/p>\n With the addition of an AI assistant<\/strong>, increasingly intuitive visualization tools<\/strong>, and redesigned collaborative features, OAC<\/strong> has established itself as an essential solution for companies seeking agility and better decision-making.<\/p>\n In this article, discover some of the latest developments in analytics standards for 2025.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||3%||false|false” custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n The Oracle Analytics Cloud AI Assistant<\/strong> revolutionizes data access, enabling users to create and refine visualizations in workbooks. Using natural language, it allows users to analyze, understand, clean, and query data, generating and suggesting appropriate visualizations. <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ background_color=”#f7fbff” custom_margin=”||12%||false|false” custom_padding=”5%|5%|5%|5%|true|true” border_radii=”on|23px|23px|23px|23px” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n Since November 2025,<\/strong> it has been possible to integrate the AI assistant<\/strong><\/a> into applications and web pages that contain OAC visualizations. Users can take advantage of the tool\u2019s power and query the data available to them from applications or pages outside of OAC. <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n In Oracle Analytics Cloud<\/strong>, checklists allow users to quickly access the data visualizations they view frequently, whether they come from one or more different workbooks.<\/p>\n Since 2025, every user has been able to share their checklist with one or more colleagues. This enhances collaboration<\/strong>, transparency<\/strong>, andefficiency among<\/strong> businessteams<\/strong> by providing them with direct access to the metrics relevant to their operations. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”0px|||||” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n A major new feature introduced to OAC<\/strong> in 2025, the buttons make it easier to use and navigate the dashboards.<\/p>\n This new visualization (Toolbar), combined with data actions, provides a better user experience.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Les-boutons-OAC.png” title_text=”The OAC buttons” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.6″ custom_padding=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n All you need to do is assign a data action that has been previously configured in the workbook.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n As the name suggests, filter groups<\/strong> are a feature that allows you to group multiple filters and apply them all at once. You can apply filter groups to a visualization, a canvas, or the entire workbook. <\/p>\n <\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Groupe-de-filtres-OAC-2.png” title_text=”OAC Filter Assembly (2)” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.6″ inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n This feature is not yet fully integrated into OAC, so the administrator must enable it on the OAC instance in the console.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Workbook-OAC.png” title_text=”OAC Workbook” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Groupe-de-filtres.png” title_text=”Filter Group” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.6″ inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n This feature allows you to create complex filters<\/strong> by combining multiple criteria using operators and all types of filters (lists, top, bottom, expression filters, etc.).<\/p>\n In addition, filter groups can be shared and reused multiple times by different users (who have the \u201cAuthor\u201d application role). To do this, simply create the filter group in the Shared Objects<\/strong> folder, or move an existing filter group there using drag-and-drop<\/strong>. <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n OAC<\/strong> offers features for preparing, loading, and processing data, as well as training machine learning models, including its built-in data flow designer.<\/p>\n This tool has undergone numerous updates, improving the diagram creation<\/strong> experience,adding new objects,<\/strong>enhancing joins<\/strong>, and\u2014most importantly\u2014increasing its capacity.<\/p>\n It is now possible to load 5 million rows per data source and per data stream. With sequences that allow for the scheduling of multiple data streams, processing capacity has increased tenfold, and OAC continues to build on its momentum to offer a comprehensive and indispensable tool for leveraging data<\/strong>. <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n Since the May 2025 update, a new type of data access has been available for datasets in OAC: Extract<\/strong>.<\/p>\n This option forces data access to go through the cache only. This significantly improves the performance of workbooks that use the dataset, as the data is directly available from the OAC cache. <\/p>\n With this additional option, dataset creators can fine-tune the dataset settings to meet their specific needs.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Acces-donnees.png” title_text=”Data Access” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n Many users did not like the Oracle Analytics<\/strong> home page that had been available since the launch of OAC. Although it offered the ability to organize workbooks, checklists, and topics\u2014and even query data directly using natural language\u2014some users found it unnecessary and accessed their workbooks through the catalog instead. <\/p>\n You can now create your own page, customize it from start to finish, and share it with the users or groups of your choice. Administrators can even set it as the default home page<\/strong> for users or groups. <\/p>\n This new customization feature provides a more intuitive<\/strong>data analysis<\/a> tool that is<\/strong> always tailored<\/strong> to the needs of users and user groups.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Oracle-Analytics.png” title_text=”Oracle Analytics” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n As part of its ongoing efforts to improve the user experience and facilitate analysis, OAC has, since 2025, included a feature that allows each user to save the usage status of workbooks.<\/p>\n This allows users to apply filters while working with a workbook and save one or more reports, enabling them to apply all filter values with a single click and view data filtered according to their needs.<\/p>\n They also have the option to configure workbooks to open to a specific report, or even to set a default report to open when the workbook is opened:<\/p>\n This means users no longer have to reapply the same filters every time they use the workbooks, making it easier to reuse them.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sqorus.com\/wp-content\/uploads\/2026\/06\/Gestion-des-etats.png” title_text=”Status Management” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||5%||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n As is the case every year, the conditional formatting options in OAC continue to expand, offering a wide range of possibilities for highlighting data and guiding business users toward information that is important for decision-making.<\/p>\n It is now possible to define conditional formatting rules based on dates and attributes, whereas prior to 2025 this was only possible using measurements. This brings us closer to a comprehensive feature that allows us to highlight information without restrictions. <\/p>\n A series of examples illustrating how to use these new options is available on the official OAC documentation website<\/a>.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_padding=”||||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ custom_margin=”||5%||false|false” inline_fonts=”Roboto” global_colors_info=”{}”]<\/p>\n1. The Oracle Analytics Cloud AI Assistant: Querying Your Data Using Natural Language <\/h2>\n
2. Sharing OAC checklists: a key tool for business collaboration<\/h2>\n
3. OAC buttons: More intuitive navigation in your dashboards<\/h2>\n
4. OAC filter groups: complex filters and sharing among users<\/h2>\n
5. OAC data streams: up to 5 million rows per source <\/h2>\n
6. Access to OAC Dataset Data: The New “Extract” Mode<\/h2>\n
7. Customizing the OAC Home Page: A Tailored User Experience<\/h2>\n
8. OAC Workbook Reports: Saving and Reusing Filter Configurations<\/h2>\n
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9. Conditional Formatting: New Rules for Dates and Attributes<\/h2>\n
Highlights from 2025 on Oracle Analytics Cloud<\/h2>\n