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Visualize any data and integrate the visuals into the apps you use every day with Power BI, a unified platform for self-service and business intelligence.

How Power BI can help you:

Empower every data team.
Bring all your data together.
Uncover insights with AI.
Turn insights into impact.
Seamlessly scale as needed.
Share insights everywhere.
Get more done with AI.
Govern and protect your data.

Why choose Power BI: Key features

Unified platform for self-service and enterprise business intelligence.
Connect to and visualize any data.
Seamlessly infuse the visuals into the apps you use every day.
Empower anyone to work with data.
Scaled solutions for enterprises.

Who should choose Power BI:

Data analysts and scientists.
Business intelligence professionals.
Marketing teams seeking insights from data.
Organizations aiming to foster a data-driven culture.
Developers looking to integrate rich data visuals into applications.

About Power BI

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https://powerbi.microsoft.com/

Release Date

March 2024

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GoodData AI introduces next-gen analytics platform By Investing.com

SAN FRANCISCO - GoodData, an AI-native analytics company, announced the launch of GoodData AI, a platform integrating artificial intelligence throughout the data analysis process, on Tuesday. The new service aims to provide enterprises with trustworthy, scalable, and extendable analytics solutions, ensuring data privacy and compliance. The platform's architecture is grounded in a composable design, allowing for seamless embedding and white-labeling capabilities. It features a semantic layer and ontology to comprehend business logic, ensuring consistent and accurate insights. GoodData AI also supports the Model Context Protocol (MCP), enhancing real-time, cross-system context for AI applications. Roman Stanek, Founder & CEO of GoodData, emphasized the product's ability to deliver reliable insights directly within user applications and workflows, negating the need for system re-architecture. The platform offers natural language interactions, an intelligent semantic layer, and an AI-ready analytics lake to facilitate scalable AI operations, coupled with a suite of developer tools and APIs. GoodData AI's capabilities are already being recognized by customers and partners. TOTVS noted the platform's intelligent semantic layer instills confidence in the reliability of AI-generated insights. Atheer and Salted CX also expressed enthusiasm for the platform's natural language capabilities and context-aware metadata, respectively. Available on AWS, Azure, GCP, and private-cloud Kubernetes, GoodData AI's pricing starts with a free Community tier and scales to Enterprise and OEM plans. The launch signifies the beginning of a new BI era where AI is a fundamental component of the analytics stack, with GoodData planning further integration and user experience enhancements. GoodData has been operational since 2007, serving over 140,000 companies and 3.2 million users worldwide. The company's mission is to help clients maximize data value by providing real-time insights embedded and accessible across user platforms. The information in this article is based on a press release statement from GoodData.

Investing.com

Tue, 27 May, 2:08 PM UTC

Business leaders are losing trust in their data -- agentic analytics promises a fix

Data-driven decision-making isn't just best practice; it's a survival imperative. Business leaders are under immense pressure to back their arguments with data - 76% feel this acutely, according to a Salesforce survey. And while the volume of raw business data continues to mount, leaders' confidence in using their data for decision-making has dropped significantly, down 18% from 2023, to less than half of leaders overall. This uncertainty is stifling executives' ability to navigate today's uncertain times. "Most executives don't have their own data analysts on call," says Southard Jones, chief product officer of Tableau. "They also don't have the training they need to be really confident that they and their team are using the right data to help make the right decisions, especially as these decisions become more involved and more complex." The solution lies in agentic analytics, the next evolution of business intelligence (BI). With agentic analytics, any business user - regardless of how data savvy they are - can collaborate with autonomous AI agents to automate repetitive, manual tasks like data preparation, and enable AI-powered insights and recommended actions delivered proactively into their preferred workflow. Bridging the trust gap with agentic AI Business leaders often leave valuable data on the table because it's too intimidating, complex or time-consuming to dig into. AI agents are the key to bridging this data-to-insight gap. Solutions like Tableau Next, Salesforce's agentic analytics solution, proactively identify patterns and anomalies in the data, and with business metrics that users might not think to ask about. Through a native integration with Agentforce, Salesforce's digital labor platform, Tableau Next leverages AI agents to deliver insights in natural language, within a company's daily workflow through any app on the platform -- even without a specific inquiry. That's important because one-third of business leaders say they don't even know what questions to ask their data, with execs and VPs feeling particularly adrift. Agentic analytics, running quietly and autonomously in the background, solves that problem, surfacing key information a leader needs to know about their business. And that's how to rebuild trust between a business leader and the data they rely on, Jones says. He likens it to navigating with a mapping app. There's no need to request continuous updates on better routes or potential traffic slowdowns, because the app has your back, reasoning over your data and keeping tabs at all times. "When AI agents are running behind the scenes, it should be able to tell you whenever something critical is happening in your business," he says. "That's changing the game, democratizing data access." When agentic analytics is working behind the scenes, it's also dramatically speeding up time to action, bringing recommendations along with its insights. For instance, Tableau Next features a skill -- a task or job that an AI agent can perform -- to execute data inspections. The Agentforce Inspector continuously tracks a company's data for key changes, analyzes trends and predicts improvements to address concerns. For example, it can proactively notify a business about an increase in bugs found in a new product. Or, after noting a sudden sales decline, recommend launching a targeted marketing campaign to specific customer segments. In addition to proactively surfacing insights, with Tableau Next's pre-built Agentforce Concierge skill, users can write a question in their own words and get both a written insight and an interactive data visualization in response, making it easy to understand, as quickly as possible. This moves beyond static dashboards many executives say aren't useful. As Jones sees it, "if you ask most business executives today, they'd probably tell you they have too many dashboards. The disconnect is that a dashboard was probably created one month ago to answer a business question that's no longer relevant." This dynamic, conversational approach allows for immediate answers that keep pace with evolving business needs, unlike static dashboards that quickly become outdated. Tableau Next also eliminates the friction that comes when a user switches over to a dashboard in the middle of a workflow. Instead, agents bring insights to people where they work, whether that's Slack or Teams, email, Salesforce Sales Cloud or other applications. This abstracts away all the effort it takes to dig into data to find answers, whether that's building a visualization or asking a question, making it easy for leaders to get trusted insights from their data. Turning data into AI-driven insight While agentic analytics holds immense promise for transforming raw data into actionable insights in any business workflow, its effectiveness hinges on the state of the underlying data. The issue isn't having enough data -- it's ensuring the data is clean, integrated and enriched with the necessary business context. "Data should be deduped and consolidated to avoid skewing analysis, and unified to provide a 'single source of truth,'" says Jones. And this doesn't have to be a manual effort. For example, instead of users manually cleaning up and changing data using complex steps (like traditional Extract, Transform, Load), the Tableau Next Data Pro skill gives smart suggestions on how to do it and can even automatically handle some of the complicated changes, saving time and effort. This data also needs to be captured in a semantic layer for agents and humans to be able to extract meaning and insights. "Most businesses struggle with data because they're missing a semantic layer, which bridges the gap between raw data and business users, contextualizing complex data and making it more accessible, understandable and usable," notes Jones. Tableau Semantics serves as the semantic layer, providing Tableau Next and Agentforce with a unified understanding of business data. By establishing consistent definitions and context, it enables AI agents to generate accurate and relevant responses. This capability is significantly enhanced through its integration with Salesforce Data Cloud, which provides a comprehensive data foundation by unifying and federating customer and business data across various sources and systems. This powerful combination allows organizations to connect siloed data repositories and leverage a single data environment that feeds directly into Tableau Semantics. "By adding Tableau Semantics and connecting it with Data Cloud," Jones continues, "we're making data more approachable to people who may not typically consider themselves 'data people,' while ensuring they have access to the most complete, up-to-date information across the entire organization." Rebuilding business leaders' trust in their data Agentic analytics isn't just changing business intelligence -- it's making rich, useful data available to everyone. With unified data and a semantic layer, agents can bring insights to the surface that would otherwise remain buried in data wastelands. "Organizations can't rely on manual tools anymore," Jones says. "This new agentic analytics approach is a huge shift. It can help analysts be even more productive, but it's also helping the non-data-savvy person actually interrogate their data, have a conversation without needing to write a single line of code or rely on precanned or complex dashboards. It's giving business leaders the deep insights they need to make more informed decisions, and changing how companies innovate."

VentureBeat

Wed, 7 May, 6:36 PM UTC

Microsoft Fabric Expands with AI Integration and Database Support to Streamline Enterprise Data Management

Microsoft announces significant upgrades to its Fabric platform at Build 2025, including integration with Cosmos DB, enhanced AI capabilities, and improved data management tools, aiming to simplify AI development and data analytics for enterprises.

4 Sources

Tue, 20 May, 12:14 AM UTC

Power BI Reporting Made Easy: EPC Group's AI Solutions with Microsoft 365 Copilot and Microsoft Fabric

HOUSTON, Oct. 29, 2024 /PRNewswire/ -- EPC Group, a trusted Microsoft Gold Partner with over 27 years of experience and a leader in Power BI consulting, today announced its advanced solutions for integrating Microsoft 365 Copilot within Microsoft Fabric. This enables businesses to generate AI-powered, on-demand reports in Power BI, significantly enhancing their data analysis capabilities. EPC Group was just named the Leader in G2's "Grid for Business Intelligence (BI) Consulting Providers - Fall 2024," as one of North America's top Power BI consulting firms. "Simply asking Power BI a question and watching it build reports in real-time is a game changer," said Errin O'Connor With Copilot in Fabric, users can ask questions in natural language and receive instant reports with relevant visualizations and insights. This eliminates the need for manual report creation and enables agile data exploration. "Simply asking Power BI a question and watching it build reports in real-time is a complete game changer," said Errin O'Connor, EPC Group's Founder and Chief AI Architect. "It allows our clients to make real-time decisions based on any market condition or variable -- and even reverse engineer successes or challenges. Seeing how the numbers tell the story and empower clients to understand their data fully." Real-time Reporting in Power BI with Copilot and Fabric is a CFO or Marketing Director's Dream For today's CFOs and Marketing Directors, making swift, data-driven decisions is critical to navigating dynamic market conditions. Microsoft 365 Copilot and Fabric within Power BI have revolutionized this process, providing the ability to instantly drill down into customer segments, sales patterns, and key performance indicators without requiring lengthy manual report-building processes. Imagine the power of asking Power BI, "What are the primary drivers behind our highest repeat customer segments?" Within seconds, Copilot builds an interactive report with all relevant visuals, allowing users to dive deep into variables affecting customer loyalty. In one click, you could discover that spa bookings or sports equipment rentals are the top factors influencing repeat visits, just as easily as filtering data for insights on which regions outperform others in retention. With this functionality, Copilot's real-time, AI-driven analytics allow CFOs to spot key financial influencers and adjust revenue strategies instantly. Marketing Directors can drill down into granular data points to understand what product categories drive the highest customer engagement. Users can customize the report format, making it consistent with existing dashboards, and even add dynamic narrative summaries, which update automatically with refreshed data or new filters. Real-time Reporting in Power BI with Copilot and Fabric: This is Next Level Stuff As Errin O'Connor, EPC Group's Founder puts it: "Being able to simply ask Power BI a question and watch it build reports in real-time is a complete game changer. This level of insight lets our clients make real-time decisions based on any market variable and empowers them to reverse engineer both successes and challenges -- it's just incredible to see how the numbers tell the story." Copilot's capabilities allow CFOs to visualize trends over time with just a few clicks, such as switching a line chart to a ribbon chart to better highlight sales growth trends. For marketing professionals, the ability to add targeted narrative summaries that highlight key insights -- complete with citations from within the report -- means teams can instantly understand and act on the data, removing the traditional delays associated with static reports. With Copilot and Fabric, business leaders no longer need days or hours to create comprehensive reports. Instead, they can produce powerful, insightful reports in minutes, empowering teams to make informed decisions that drive results. EPC Group's AI Leadership Across All Major AI Enterprise Solutions As North America's leading AI consulting firm, EPC Group remains at the forefront of AI innovation, delivering solutions across 14 of the top Artificial Intelligence platforms, including Microsoft 365 Copilot, Gemini, and OpenAI. These AI-driven tools redefine business operations, empower organizations to streamline workflows, enable data-driven decision-making, and enhance overall efficiency. EPC Group's consulting services emphasize integrating AI into existing business infrastructures to unlock growth and drive innovation. Strategic AI Leadership through VCAIO Services - "Virtual Chief Artificial Intelligence Officer" EPC Group's Virtual Chief Artificial Intelligence Officer (VCAIO) services offer businesses access to strategic AI expertise without needing a full-time executive. John Cassidy, EPC Group's Chief Revenue Officer, remarked, "As we enter the new era of artificial intelligence, having strategic AI leadership is crucial. Our VCAIO services enable businesses to effectively integrate AI, ensuring that initiatives like Microsoft 365 Copilot align with their broader objectives. Given the limited talent pool with the skills to fill this role, our VCAIOs rank among the most experienced in North America, ready to guide companies through their AI journey." EPC Group's Commitment to AI, SharePoint, and Power BI Solutions As North America's second-oldest Microsoft Gold Partner, EPC Group has achieved remarkable success with over 5,200 SharePoint implementations and over 1,500 Microsoft Power BI projects worldwide. These milestones highlight EPC Group's dedication to delivering cutting-edge Microsoft solutions and exceptional service to organizations across diverse industries. Leveraging a deep understanding of Microsoft technologies, EPC Group's expert teams focus on building robust, scalable solutions that enhance collaboration, data analytics, and productivity. Through each SharePoint and Power BI project, EPC Group ensures that clients maximize the benefits of their Microsoft platforms, from seamless information sharing and efficient workflows to dynamic data insights. By integrating advanced AI tools into these solutions, EPC Group empowers businesses to drive growth, streamline processes, and maintain a competitive edge in today's data-driven landscape. Achievements at EPC Group: Key Milestones and Recent Achievements Over 5,200 SharePoint Implementations: Demonstrating extensive experience and a proven track record in delivering SharePoint solutions.Over 1,500 Microsoft Power BI Projects: Showcasing deep business intelligence and data analytics expertise.Authored Four Microsoft Press Best-Sellers, Including the official Microsoft Press book Power BI Dashboards - Step by Step.Launching a 40+ Hour YouTube AI Best Practices & Implementation Series: Sharing extensive knowledge on AI technologies, best practices, and implementation strategies.Early Contributor to Microsoft Technologies: Part of the original SharePoint Beta Team (Project Tahoe) and the Power BI Beta team (Project Crescent).Leading in AI Consulting: Offering services across 14 top AI solutions, including Microsoft 365 Copilot, Gemini, OpenAI, and more.Providing VCAIO Services: Offering Virtual Chief Artificial Intelligence Officer services to guide businesses through their AI journey.Pioneers in M&A Cloud Consolidation: Leading the industry with AI-driven tenant migrations and secure cloud consolidation.Second Oldest Microsoft Gold Partner in North America: Reflecting a longstanding partnership and deep expertise in Microsoft technologies.G2 Leader Recognition: Named a Leader in G2's "Grid for Business Intelligence (BI) Consulting Providers - Fall 2024," as one of North America's top Power BI consulting firms. About EPC Group: EPC Group has a long history as a leading AI, Copilot, Power BI, Microsoft 365, Fabric, SharePoint, and Microsoft technology platform-related consulting firm. Founded in 1997, EPC Group has been pioneering the way organizations collaborate rapidly and unparalleled. We leverage our deep expertise through tested and proven "from the consulting trenches" strategies that are the foundation for our solutions and services for thousands of organizations. Our award-winning strategies focus on harnessing your organization's granular business requirements to provide end-to-end solutions to meet your organization's exact needs. EPC Group has published four Microsoft Press books on Microsoft Power BI (2023) as well as Microsoft SharePoint (2013, 2010, 2007) and Office 365. Our latest book, Microsoft Power BI Dashboards Step by Step, guides you through creating world-class Power BI dashboards that integrate today's most widely used data sources using any of Microsoft's Power BI platforms, including the new Power BI Premium. For more information about EPC Group, visit www.epcgroup.net or Contact Us at contact@epcgroup.net. View original content to download multimedia:https://www.prnewswire.com/news-releases/power-bi-reporting-made-easy-epc-groups-ai-solutions-with-microsoft-365-copilot-and-microsoft-fabric-302290381.html SOURCE EPC Group Market News and Data brought to you by Benzinga APIs

Benzinga

Tue, 29 Oct, 6:19 PM UTC

Unlock Effortless Data Analysis with Microsoft Copilot

Excel pivot tables are a cornerstone of data analysis, providing a powerful way to organize, summarize, and interpret complex datasets efficiently. With the introduction of Microsoft Copilot, the process of creating and managing pivot tables has been significantly streamlined, enhancing productivity in data management for users of all skill levels. This guide explores how both the free and paid versions of Copilot can transform your data analysis experience using AI-powered assistance. Whether you're a seasoned data analyst or just starting out, the power of pivot tables is undeniable. They allow you to summarize, reorganize, and interpret data with ease. However, the process of creating and managing these tables can often feel daunting. That's where Microsoft Copilot steps in, offering AI-driven assistance that simplifies these tasks. From the basics of pivot table creation to advanced features like interactive dashboards, this tutorial will walk you through how both the free and paid versions of Copilot can enhance your productivity and decision-making. Pivot tables are essential tools for summarizing large volumes of data, allowing users to extract meaningful insights quickly. Microsoft Copilot simplifies the creation and manipulation of these tables, making advanced data analysis accessible even to those with minimal technical expertise. By automating complex processes, Copilot allows you to focus on interpreting data rather than grappling with the mechanics of table creation. Key benefits of pivot tables include: To harness the power of pivot tables with Microsoft Copilot, it's crucial to understand the capabilities of both the free and paid versions. The free version serves as an excellent starting point, offering guidance through the initial steps of pivot table creation. For those requiring more advanced functionalities, the paid version provides a suite of enhanced tools designed to streamline complex data analysis tasks. Gain further expertise in Microsoft Copilot by checking out these recommendations. The foundation of effective pivot table creation lies in proper data preparation. Ensure your data is structured in a tabular format, with clear headers and consistent data types within each column. This organization is critical for Copilot to accurately interpret and process your information. Best practices for data preparation: Once your data is primed, generating pivot tables becomes a straightforward process with Copilot's guidance. You can effortlessly categorize tables by various dimensions such as year, quarter, and region, tailoring the data view to your specific analytical needs. Steps to create a pivot table using Copilot: 1. Select your data range 2. Activate Copilot and request a pivot table creation 3. Specify the dimensions and metrics you want to analyze 4. Review and refine the AI-generated pivot table Copilot's AI capabilities allow for intuitive adjustments to pivot table fields and settings, allowing you to customize your data presentation and analyze information from multiple perspectives with ease. Microsoft Copilot offers a range of advanced features that can significantly enhance your data analysis capabilities. These tools allow you to generate insights and create visual representations directly from your data, including pivot charts and interactive dashboards. Advanced features include: These features enable dynamic data filtering and visualization, providing a holistic view of your datasets and facilitating deeper analytical insights. To fully harness Copilot's capabilities, it's essential to use clear and precise prompts. Well-crafted instructions ensure accurate and relevant results, allowing you to perform complex analyses with ease. Tips for effective prompting: By mastering these prompting techniques, you can unlock advanced functionalities such as calculating differences and averages within pivot tables, enriching your analysis and uncovering deeper insights into your data. Interactive elements such as slicers and timelines are powerful tools for dynamic data filtering and visualization. By incorporating these features and linking pivot tables and charts, you create a cohesive and interactive analysis environment that supports data-driven decision-making. Benefits of interactive elements: These features empower you to explore data dynamically, enhancing your understanding of complex datasets and allowing more informed decision-making processes. Mastering Excel pivot tables with Microsoft Copilot equips you with the skills to manage and analyze data with unprecedented efficiency and insight. By integrating AI-powered assistance into your data analysis workflow, you can make more informed decisions based on comprehensive and nuanced data interpretations, driving success in your projects and strategic initiatives.

Geeky Gadgets

Thu, 14 Nov, 12:03 PM UTC

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