AI is automating analysis — evolve your toolkit
Natural language queries, automated dashboards, AI-generated insights — BI is transforming. Get a brief that helps you stay ahead of the tools.
Curated from 20+ industry labs and publications
Sound familiar?
Every BI tool added an AI chatbot
Tableau, Power BI, Looker — they all have AI features now. You need to know which ones actually produce reliable analysis.
Stakeholders expect faster insights
AI is raising expectations for turnaround time. You need to know which parts of your workflow AI can genuinely accelerate.
Data quality issues hit AI harder
AI tools amplify data quality problems. You need to understand guardrails and validation when AI generates business insights.
AI news through the Business Analysts lens
Analyst-focused AI filtering
We cover AI through a business analysis lens — data tools, reporting automation, and insight generation.
Tool-by-tool assessment
Honest looks at AI BI features — what works, what hallucinates, and where human judgment is still essential.
Workflow integration
Practical ways to add AI to your analysis workflow without compromising data integrity.
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News Relevant to You
Tableau Pulse GA: AI Summaries Now Live in Enterprise Plans
Tableau released generative AI insights into Tableau Pulse this week, automatically surfacing metric anomalies and narrative explanations. The feature is now available for enterprise customers, reducing manual report interpretation time by up to 40%.
Why this matters to you: Your BI platform automation capabilities just got a major upgrade—this means less time on routine insight generation and more time on strategic analysis.
Microsoft Power BI Copilot Gets Data Quality Validation Features
Microsoft expanded its Copilot in Power BI to include automated data quality checks and anomaly detection, flagging inconsistencies before they reach stakeholders. The update rolls out to preview customers this January.
Why this matters to you: If you're managing data quality governance across teams, this tool could help catch upstream issues faster and reduce the feedback cycles on dirty datasets.
What To Test This Week
Run a Side-by-Side Comparison of ChatGPT vs. Claude for Query Translation
Take your 5 most complex SQL queries or data transformation requests and prompt both ChatGPT and Claude to translate them into natural language summaries. Track accuracy, clarity, and how well each handles your domain-specific terminology.
Why this matters to you: Testing different AI models on your actual workflows helps you pick the best tool for AI-assisted analytics without committing to one platform.
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Topics we watch for you include
- 🔍BI platform AI feature updates and evaluations
- 🔍AI data analysis tools and honest reviews
- 🔍Automation opportunities in reporting workflows
- 🔍Data quality and AI guardrail best practices
- 🔍Weekly experiments to try with your datasets
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