analytics
analytics on Beyond Market Intelligence: a running collection of 16 stories we have gathered and hand-picked because they are worth your time. Every post here touches on analytics in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around analytics, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
The Power BI Developer's Survival Guide to Microsoft Fabric
Power BI developers, a significant shift is underway. Microsoft Fabric has arrived, effectively replacing Power BI Premium. This guide provides a clear, concise overview of what’s changed—and what hasn’t—to ensure a smooth transition. We'll equip you with the essential knowledge to navigate this evolution and confidently begin leveraging Fabric's capabilities. If you're exploring the broader landscape of AI-powered development, consider "How to Solve the Right Problem in the Age of Agentic AI" for a practical framework.
A Practical Introduction to PySpark Window Functions
Traditional `groupBy` functions in PySpark offer a foundational approach to data aggregation, but often fall short when complex calculations require context beyond a single group. This practical introduction explores PySpark Window Functions—a powerful tool for performing calculations across a set of rows related to the current row. Discover how window functions empower you to derive richer insights, enabling more sophisticated data analysis and transformative reporting.
Mastering the AI Project Cycle: From Concept to Production
Successfully deploying AI isn’t about model selection alone; it's about navigating a structured journey known as the AI Project Cycle. From precisely defining the problem to ongoing monitoring and refinement, this cycle ensures a robust and impactful AI system. Teams leveraging this approach consistently achieve better outcomes, moving beyond experimentation to sustainable production. Explore this essential framework and discover how to transform your AI initiatives. For a deeper dive into related challenges, see "Is Agentic AI Just Automation?".
Spec-Driven Development with Claude Code: Writing Bulletproof Specs
Successfully leveraging Claude Code through spec-driven development reveals a critical nuance: even well-crafted specifications can lead to unexpected outcomes. Experience demonstrates that Claude can diligently execute plans, pass test suites, and still produce flawed code—a failure mode often overlooked. This post explores strategies for writing "bulletproof" specifications, ensuring alignment between intent and implementation. Discover how to proactively mitigate this risk and unlock the full potential of AI-assisted coding. For further insights into AI agent capabilities, see our article on Inherent’s Faraday.
Pandas API for DuckDB, PostgreSQL & ClickHouse — keeping computation inside the database[P]
Introducing memFrame, an open-source DataFrame API designed to transform your data workflow. Instead of importing data into Python, memFrame compiles operations directly to SQL, enabling computation within databases like DuckDB, PostgreSQL, and ClickHouse. This approach empowers users to leverage the power of their databases for data inspection, cleaning, statistics, and more—all while minimizing data transfer. We’re releasing features incrementally, prioritizing stability and user feedback. Explore this innovative architecture, including its built-in multiagent capabilities for natural language interaction with your data.
Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents
Grab has demonstrably transformed its analytics workflows with AI agents, achieving a significant 30% reduction in mechanical analyst work since February – a 44% decrease. This progress stems from a powerful combination of agent autonomy, certified data, contextual awareness, and crucial human oversight. Self-service analytics are increasingly handling routine metric, data, and SQL requests, freeing analysts for higher-value tasks. Interested in the underlying architectural principles? Explore "Agentic Fitness Functions" for a deeper dive into extending evolutionary architecture.
How to Shine as a Data Scientist in the Vibe Coding Era
The rise of AI coding tools like those explored in "How to Install Codex CLI" signals a significant shift for data scientists. Coding proficiency is increasingly becoming a commodity; the future belongs to those who leverage these tools strategically. This post outlines how to thrive in this "Vibe Coding Era," focusing on higher-level skills like problem framing, insightful analysis, and communicating data-driven narratives. Discover how to evolve beyond coding and become the indispensable data scientist of tomorrow.
Spotify Builds External Index to Enable Low Latency Point Queries on Its Data Lake
Spotify has unveiled a novel external indexing architecture for its Apache Parquet data lakes, significantly reducing query latency without data replication. This innovative approach maps lookup keys directly to Parquet files and row locations, enabling targeted reads from cloud object storage. The result? A unified system supporting everything from analytics and machine learning to AI applications and online services, all leveraging the same foundational datasets.
Building Trustworthy Snowflake AI Agents with Semantic Governance
Claude Code Best Practices: 3 Lessons from 400,000 Sessions
Previously considered a matter of preference, Claude Code best practices now have data-backed validation. Anthropic’s analysis of 400,000 sessions across 235,000 users reveals three key lessons driving success: consistent testing, reliable commits, and confirmed user outcomes. Explore these insights to optimize your AI coding workflows and ensure predictable results. Discover how leveraging data, rather than intuition, can transform your development process. For deeper coverage on the evolving AI coding landscape, see our recent article on Meta’s entry with Muse Code.
After killer quarter, Palantir CEO Alex Karp calls AI industry ‘Marxist’
Following a record-breaking quarter exceeding $1 billion in profit, Palantir CEO Alex Karp has issued a stark warning regarding the current AI landscape. Karp characterized leading AI research labs as inherently untrustworthy for enterprise adoption, signaling a potential shift in how businesses evaluate AI solutions. This perspective underscores a growing concern about responsible AI development and deployment. For a deeper dive into considerations for selecting appropriate AI agents, explore "Azure and Community Guidelines on Choosing Between a Skill or a Sub-Agent."
Relevant tech stack for 2026/2027
As a data scientist transitioning to team leadership, future-proofing your tech stack is a smart move. By 2026/2027, expect a shift towards more robust data engineering practices and cloud-native solutions. Prioritize expanding beyond SQL and Python to include tools like Apache Spark for distributed processing and exploring cloud platforms like AWS or Azure for scalability. Familiarize yourself with orchestration tools like Airflow to automate workflows.
Grafana Assistant Expands to More Than 30 Data Sources
Grafana Assistant now empowers users to explore observability insights across a broader landscape, integrating with more than 30 diverse data sources. This expansion allows for natural language queries and correlations, streamlining data analysis and accelerating troubleshooting. Leverage AI to transform how you understand your systems, moving beyond siloed views. For a deeper dive into related AI projects, see our recent article, "Recent project I worked on: End to End Edge ML platform," demonstrating practical applications of AI-driven solutions.
Synthesia’s AI training platform is moving beyond videos into live coaching
Synthesia is expanding the possibilities of AI training, moving beyond pre-recorded videos to offer dynamic live coaching. Introducing AI Roleplay Sessions, a new enterprise platform enabling employees to practice crucial workplace conversations with AI avatars. These sessions deliver tailored feedback, scoring, and analytics, empowering companies to accurately measure training effectiveness and drive tangible improvements. For a deeper dive into leveraging data for enhanced outcomes, explore our article, "How to Improve Customer Retention in FinTech."
How to Improve Customer Retention in FinTech
Customer retention is a critical challenge in FinTech, demanding more than reactive measures. This practical guide explores a powerful combination: pre-churn scoring and uplift modeling. Discover how these techniques enable smarter, more targeted retention efforts, maximizing impact while optimizing resource allocation. By precisely identifying customers most likely to churn *and* those most responsive to intervention, you can transform your retention strategy. For a deeper dive into building an AI-native enterprise data platform to support these initiatives, see "Many Companies Use AI."
Newsletter platform Beehiiv now lets subscribers chat with each other, adds AI
Beehiiv is evolving, empowering publishers with enhanced community building and intelligent growth tools. Subscribers can now directly engage with each other through a new chat feature, fostering deeper connections within your audience. Simultaneously, we’re introducing AI Copilot, designed to streamline user growth strategies and provide actionable analytics insights. This represents a significant step toward a future-focused approach to newsletter management. For a broader perspective on AI’s evolving role in productivity, explore our article, "The real problem with AI."