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Welcome toBIPro113 | Your One-Stop Source for Business Intelligence Insights

This issue is packed with breakthroughs shaping the future of BI: from ISVs redefining Microsoft Fabric to real-world AI frameworks delivering measurable ROI.We’vehandpicked the most compelling updates, case studies, and tools that will make you rethink how data, AI, and analytics come together.

🔥 Highlights to Explore

The Power of ISVs in Microsoft Fabric:How partners like Lumel, Neo4j, Esri, andStatsigare reshaping the ecosystem atFabConVienna.

Fabric Real-Time Intelligence:Why this shift to agentic AI is moving enterprises from reactive to proactive operations.

Rent the Runway’s Cloud SQL Transformation:Cutting $180K costs while speeding up developer cycles and scaling inventory insights.

Amazon Q inQuickSight:Turning business meetings into real-time, interactive data conversations without dashboards or SQL.

BigQueryML Gets Gemini and OSS Embeddings:13K plus models and Google’s top-ranking Geminiunlocka new frontier for RAG and semantic search.

Wealth Wizards andQuickSightScenarios:Democratizing financial advice with AI-driven, self-service analytics for millions in the UK.

Measuring AI’s Business Value:A three-part framework that ties efficiency, growth, and compliance directly to ROI.

👉 Thisis more than a roundup. It is your curated lens into what is changing in BI right now and where the next big opportunities lie.

Cheers,

Merlyn Shelley

Growth Lead, Packt

➕The Power of ISVs: Unleashing Innovation in Microsoft Fabric:Microsoft Fabric’s ISV ecosystem is reshaping the future of data and AI. AtFabConEurope, partners unveiled tools that move organizations from raw data to AI-powered insights with speed. Highlights include Lumel’s enterprise planning, Neo4j’s graph analytics, Esri’s geospatial intelligence, andStatsig’sproduct experimentation, unlocking smarter decisions, richer context, and continuous innovation within Fabric’s trusted environment.

➕Unify your data estate for the era of AI with Fabric Data Factory:Microsoft Fabric Data Factory is raising the bar for data integration withOneLake-powered Zero-ETL unification, petabyte-scale Copy jobs, and AI-driven Copilot experiences. Key updates include lower-cost, faster Dataflow Gen2, new cross-cloud mirroring for Oracle andBigQuery, and expanded pro-code/low-code orchestration. These enhancements simplify complex data estates, boost performance, and ensure enterprise-grade security and scalability.

➕How Rent the Runway supercharges developer speed and insights with Cloud SQL:Rent the Runway modernized its data backbone by migrating from self-managed MySQL to Google Cloud SQL, cutting $180K in annual costs while boosting resilience and developer velocity. Cloud SQL now powers real-time inventory, streamlines schema changes, and enables CI/CD for databases. With built-in automation, observability, and scalability, Rent the Runway has built a future-ready foundation for growth and AI innovation.

➕Transforming business meetings to get real-time answers to data questions using Amazon Q in QuickSight:Amazon Q inQuickSightbrings real-time, conversational BI to meetings by turning natural language questions into instant, multi-visual insights. Teams can skip dashboards and SQL, asking follow-ups on the fly to uncover sales trends, regional shifts, and customer behavior. Powered by Amazon Bedrock, it transforms business conversations into interactive, data-driven decision-making, faster, clearer, and more collaborative.

➕The Foundation for Powering AI-Driven Operations: Fabric Real-Time Intelligence.Microsoft Fabric Real-Time Intelligence is ushering in the age of agentic AI, moving organizations from reactive to proactive operations. By unifying live and historical data inOneLake, it empowers teams to capture signals instantly, analyze them in context, and trigger actions at scale. With tools likeEventstream, Digital Twin Builder, and Copilot, enterprises across industries are transforming real-time data into immediate outcomes, resilience, and lasting advantage.

➕Power BI September 2025 Feature Summary:The September 2025 Power BI release, announced alongsideFabConVienna, brings major AI and Copilot upgrades. Copilot is now default-on with automatic workspaceselection, streamlining adoption. Key updates include editing semantic models in the service, enhanced DAX time intelligence, performance analyzer in web editing, and Direct Lake improvements. Visuals also expand with Zebra BI, Word Cloud, and Drill Down Combo Bar PRO. Certifications and live DataViz Championships capped the announcements.

➕How SmugMug accelerates business intelligence with Amazon QuickSight scenarios:SmugMug is using Amazon Q inQuickSightScenarios to scale AI-powered analytics securely across its 200-person team and 100M+ user community. By enabling natural language queries, guided statistical analysis, and multi-source integration, Scenarios democratizes insights, speeds reporting, and strengthens governance. The result: faster decision-making, higher subscription conversions, cost savings, and self-service analytics without compromising data quality or compliance.

➕Building Research Agents for Tech Insights:This blog is about building a niche AI agent that can automatically scout technology trends. It explains how to move beyond generic search results by using structured workflows, high-quality data sources, and prompt chaining. The approach combines data ingestion, NLP-based filtering, and caching to surface persona-relevant insights at scale, making trend analysis faster, cheaper, and more actionable.

➕Deprecation of Power BI Integration within SharePoint Lists and Libraries:The upcoming retirement of Power BI integration with SharePoint lists and libraries means the “Visualize the List” and “Visualize the Library” features will soon be unavailable. This blog explains the deprecation timeline, key dates for report access ending in late 2025, and outlines alternative methods such as exporting directly to Power BI service or connecting through Power BI Desktop for advanced reporting.

➕Use Gemini and open-source text embedding models in BigQuery:This blog is about the expansion of text embedding capabilities inBigQueryML, giving users more flexibility to choose models based on quality, cost, and scale. It introduces Google’sstate-of-the-artGemini embedding model, ranked top on MTEB, and support for 13K+ open-source Hugging Face models. With simple SQL commands, teams can now generate embeddings directly inBigQuery, enabling scalable, secure, and customizable AI-powered applications.

➕How Wealth Wizards democratizes financial advice with Amazon QuickSight scenarios:This blog is about how Wealth Wizards, part of the Royal London Group, is using AmazonQuickSightScenarios to democratize financial advice and scale data-driven decision-making. By enabling self-service exploratory analysis, correlation metrics, and regulatory reporting, Scenarios reduced ad hoc analysis time by 40%, cut costs by 40%, and freed up engineering resources. The result is faster insights, improved compliance, and stronger financial outcomes for millions of UK adults.

➕Docling: The Document Alchemist.Doclingis an open-source library that simplifies extracting structured data from messy documents such as PDFs, Word files, and scanned images. Originating from IBM Research and now under the Linux Foundation, it combines OCR, layout parsing, and table reconstruction into a single API. By converting unstructured content into Markdown, JSON, orDataFrames, it reduces data wrangling overhead and streamlines AI and analytics workflows.

➕C4A Axion processors for AlloyDB now GA:Google Cloud’s C4A virtual machines, powered by custom Axion processors, are now generally available and bring major gains toAlloyDB. Designed for data-intensive workloads, C4A delivers up to 45% better price-performance than N-series VMs and as much as 2x higher throughput than Amazon’s Graviton4-based Aurora PostgreSQL. With flexible vCPU options, including a new 1vCPU entry tier, C4A enables cost-efficient, high-performance database operations at scale.

➕Measure the value and impact of your AI:This is about a framework for quantifying the business impact of generative AI initiatives. It introduces a three-part approach: first, define success using four universal value drivers (efficiency, growth, experience, strategic advantage); second, calculate the full investment through total cost of ownership; and third, state ROI clearly. Using a chatbot example, it shows how this framework translates AI adoption into measurable value and rapid payback.

➕Deliver Amazon QuickSight pixel-perfect reports to multiple customer groups:AmazonQuickSightnow enables organizations to deliver pixel-perfect reports with row-level security, streamlining complex multi-tenant reporting. Instead of managing hundreds of schedules for different customers and permission levels, teams can use a single dashboard and schedule to broadcast personalized reports securely. With integration into Amazon Redshift and built-in security features, this approach reduces overhead, improves efficiency, and simplifies enterprise-scale report distribution.

➕A Focused Approach to Learning SQL:This is about choosing the right path to learn SQL, a core skill for working with relational databases and structured data. It explains why SQLremainsessential even in the age of AI tools, outlines beginner, intermediate, and advanced learning paths, and connects each to common data roles like analyst, scientist, and engineer. Practical advice, example projects, and career relevance highlight how SQL supports real-world data work.

See you next time!