Blog
Analysis, practice, opinion.
Short pieces on what we are seeing in real Salesforce, data and AI projects.
Lakehouse Is Not a Silver Bullet: When Plain Warehouse Still Wins
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Data observability: catching pipeline failures before stakeholders do
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AI FinOps: how to charge LLM inference back to internal customers without fighting IT
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When NOT to use Salesforce: 4 scenarios where license cost beats ROI
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When an agent is the answer — and when it's an escape from a poorly modeled problem
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Data Cloud is no longer a CDP — it's the central nervous system of Salesforce
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Modern Data Stack in 2026: what survived, what died, what became commodity
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Tableau as an executive language: killing the vanity dashboard
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Salesforce Partner Program: what the client never tells you
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Databricks vs Snowflake vs BigQuery: lock-in, exit costs and what the official partner doesn't say
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AI for HR: a practical case of the internal triage agent
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Churn analysis: the mistake of defining "loss" before strategy
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Multi-agent in production: what we learned running 5 agents for 90 days
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Salesforce Industries (Vlocity): worth it for Brazilian mid-market companies?
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Open source vs proprietary LLMs: honest criteria to choose without ideology
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Does dimensional modeling still matter in 2026? Yes — a defense against lakehouse-for-everything
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CPQ in B2B SaaS: the difference between a quote and an actual proposal
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Generative AI in sales: beyond "ChatGPT for replies" — where it makes revenue
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Prompt engineering for analytics: the forgotten pipeline between data and report
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Marketing Cloud + Data Cloud: the stack that should have been born together
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Data privacy in LLMs: the governance checklist missing from the pilot
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The Data Catalog nobody uses: a symptom of the real problem (not the tool)
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Sandbox strategy: how to avoid "the last sandbox refresh was 4 months ago"
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Real inference cost: how to avoid the end-of-month USD surprise
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Self-service BI: why every department has its own "final draft"
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Salesforce ↔ ERP integration: projects stall on the contract, not the architecture
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Multi-agent systems: when to orchestrate vs. consolidate into one agent
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Product metrics: why north star becomes "north dust" in 6 months
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Salesforce Flow vs Apex: when code is worth more than clicks
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Vector databases compared: Pinecone, Weaviate, pgvector — when each one fits
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Data contracts: the least painful way to not break production
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Agentforce in customer service: what to automate and what NOT to
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Fine-tuning vs RAG vs prompt engineering: how to choose without burning cash
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Snowflake vs BigQuery vs Databricks: an honest mid-market comparison
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Customer 360 vs CDP: differences that change the data roadmap
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Agent evaluation: the metric nobody wants to publish
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ELT vs ETL: why the fashion changed and what actually matters
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Service Cloud: SLA isn't decoration — measure capacity before promising
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LLM as internal agent: three cases where it works, two where it fails
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dbt in practice: documentation is the real win, not the model
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Sales Cloud: five antipatterns that separate costly rollouts from rollouts that pay back
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RAG in practice: retrieval is the bottleneck, not the LLM
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Clean data is a myth: living with imperfect quality
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Map the process before Salesforce: the checklist that saves months
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