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Welcome to BIPro 98, your curated guide to the latest trends transforming the world of business intelligence and data analytics.

This edition dives deep into three game-changing concepts:
🔹 How Fabric Data Agents are revolutionizing AI-powered data access
🔹 What to know when migrating from Power BI Premium Capacity to Fabric Capacity, especially cross-region
🔹 How machine learning is supercharging predictive analytics in Tableau, moving dashboards from descriptive to truly forward-looking

But that's just the beginning. In this issue, you’ll also find insights on building Excel dashboards for 2025, mastering essential Excel formulas, and leveraging the LAMBDA function to create reusable spreadsheet logic. If you're looking to modernize your admin dashboards, explore the best free HTML5 templates and discover how modular components can make your design more scalable.

On the databases and visualization front, we unpack the complexities of Power BI migrations, highlight common reporting mistakes (and how to avoid them), and offer a detailed look at Tableau’s architecture for high-performance analytics. Real-world applications show how finance teams use scenario modeling to handle trade volatility, and how organizations can scale predictive models directly within Tableau dashboards.

We also spotlight quick wins: fast-tracking your Tableau learning, streamlining your AI model lifecycle with Microsoft Fabric, and using practical data cleaning techniques that every analyst should master.

This is your blueprint for staying ahead, whether you’re refining your dashboards, building predictive models, or preparing for the future of data-driven decision-making.

We’re also excited to spotlight our sponsors this week: Whiteswan Identity Security, delivering zero-trust PAM protection for human and non-human identities across on-prem and cloud environments through a single console.

Meanwhile, HubSpot’s AI-powered ecosystem is expanding rapidly, with a projected global opportunity of $10.2 billion by 2028. To fuel that growth, HubSpot is opening its platform further, introducing an expanded set of APIs, customizable app UIs, and tools that support a more unified data strategy.

Scroll through, explore the highlights, and click into the topics that will drive your next breakthrough.

Merlyn Shelley

Growth Lead, Packt

🔰 Excel Dashboard: How To Create A Dashboard In Excel 2025. This blog is a step-by-step guide to building Excel dashboards in 2025, helping professionals turn raw data into clear, interactive visuals. It covers goal setting, data organization, layout planning, visualization tools, formulas, interactivity, and downloadable templates to support data-driven decisions and real-time performance tracking.

🔰 50 Basic MS Excel Formulas List that Everyone Should Know. This blog introduces essential Microsoft Excel formulas that simplify data handling and analysis. Whether you're managing long spreadsheets or looking to boost productivity, it highlights top formulas across categories like math, text, and logic. With real-world examples and use cases, it’s a practical guide for turning raw data into smart insights.

🔰 How to Use the LAMBDA Function in Excel (Microsoft 365): The Complete Step-by-Step Guide. Excel’s LAMBDA function helps users create custom, reusable formulas directly in spreadsheets without writing VBA. This guide covers its syntax, how to define and apply it, and real-life examples like grading, conversions, and calculations, making complex logic easier to manage and reuse in Microsoft 365.

🔰 42 Best Free HTML5 Admin Dashboard Templates 2025: Explore a curated selection of free HTML5 admin dashboard templates for 2025 designed to help developers and businesses build professional, responsive admin panels. These templates support various use cases, from sales and finance to healthcare and marketing, offering flexibility, modern UI elements, and easy integration into web projects.

🔰 Migrating from Power BI Premium Capacity to Fabric Capacity (Cross Region) – What you should know. Migrating from Power BI Premium to Fabric Capacity involves several considerations, especially when moving across regions. This guide outlines both manual and automated methods for transferring workspaces, addresses limitations with Fabric Items and Large Storage Format models, and offers practical steps to prepare, back up, and restore content during the transition.

🔰 Common Power BI Mistakes and How to Easily Avoid Them: Power BI users often run into avoidable issues that affect data accuracy and dashboard performance. This article highlights common mistakes like overloading visuals, ignoring data modeling best practices, or using inconsistent measures, and provides clear guidance on how to prevent them, helping teams build more reliable and insightful Power BI reports.

🔰 Output a file and re-input it within the same workflow: Reusing an output Excel file within the same Alteryx workflow can streamline processes like logging or iterative updates. This article explains how to configure tools like “Block Until Done” and “Dynamic Input” to write and immediately re-read a file using a consistent file path, avoiding manual reloads or separate workflows.

🔰 Tableau Architecture: A Detailed Guide: Tableau’s architecture supports end-to-end data analysis by connecting, processing, and visualizing data across desktop and server environments. This guide breaks down its core components, like VizQL Server, Data Engine, and Gateway, explaining how they work together to power secure, scalable, and high-performance analytics in both on-premise and cloud-based deployments.

🔰 How Data Analytics Reduces Finance Risk Amid Trade Volatility: Trade volatility is now a constant challenge, forcing finance teams to move beyond traditional forecasting. This article explains how scenario modeling, supported by tools like Alteryx, helps assess the financial impact of sudden trade shifts, test “what if” scenarios, and support agile, data-driven decisions across finance, procurement, and leadership teams.

🔰 Fabric Data Agents: Unlocking the Power of Agents as a Steppingstone for a Modern Data Platform. Fabric Data Agents simplify how financial institutions access and analyze data by combining AI-powered interaction with Microsoft Fabric’s unified data platform. This article outlines how these agents use natural language, connect to over 200 data sources via OneLake, ensure security and compliance, and enable teams to extract insights without building complex AI solutions.

🔰 Can You Build Modular Components for Admin Dashboards? Building modular components is key to creating scalable, reusable admin dashboards. This article explains how to design self-contained UI elements like cards, tables, and charts, outlines best practices for structuring component libraries, and highlights tools and real-world examples that speed up development and maintain consistency across dashboard projects.

🔰 ML for Predictive Analytics in Tableau: Predictive analytics combined with Tableau transforms static dashboards into dynamic forecasting tools. This article explains how businesses can embed machine learning models using Tableau’s built-in ARIMA forecasting, Python (TabPy), R integration, and cloud-based extensions, helping teams anticipate trends, optimize operations, and make faster, data-driven decisions with real-time insights.

🔰 Learn Tableau Quickly: 5 Actionable Tips for Data Analysis. Mastering Tableau quickly requires a hands-on, structured approach. This guide outlines five techniques: building a strong foundation in core features, applying project-based learning, engaging with the Tableau community, designing impactful dashboards, and practicing consistently with structured challenges, all aimed at helping users turn data into clear, actionable insights faster.

🔰 How Microsoft Fabric Is Transforming AI Model Development and Data-Driven Solutions: Microsoft Fabric is transforming AI model development and data-driven solutions by unifying data integration, engineering, machine learning, and visualization in a single platform. This article explains how Fabric streamlines data preparation, model training, governance, and real-time analytics, helping businesses move faster, improve collaboration, and scale AI initiatives efficiently across hybrid and multi-cloud environments.

🔰 10 Essential Data Cleaning Techniques Explained in 12 Minutes: Data cleaning is a critical step for any successful data project. This article walks through 10 essential techniques, including handling missing values, removing duplicates, standardizing text, managing outliers, scaling features, and correcting formatting issues, with practical examples, showing how to transform messy data into clean, analysis-ready datasets quickly and efficiently.