Data Analytics Blog
Insights, guides, and industry perspectives on AI, BI, data engineering, and analytics consulting.
47 articles
AI Chief of Staff and Multi-Agent Systems: What Works in 2026
What an AI Chief of Staff actually does, when multiple agents help, and how to build reliable systems around company context, permissions, and follow-through.
Who Is Actually Booking Travel with AI Agents? The Production Reality, August 2026
A dated survey of AI travel agents that really transact in production: IndiGo, Otto, Mindtrip, Navan, Sabre MCP. What the working ones share is not a smarter model. It is bounded authority, deterministic APIs, and human gates.
From Look-to-Book to Compute-to-Order: AI Agents Meet Airline Distribution Economics
AI shopping agents multiply airline shopping volumes by orders of magnitude while bookings stay flat. The only economically viable answer is caching the offer itself, with live re-pricing at commitment. Here is the framework.
AIDM, NDC, ONE Order, Open Air: The Airline Standards Map for IT Leaders
IATA's standards are not competing formats. They are one canonical model (AIDM) with governed projections: NDC XML, Open Air JSON, ONE Order. Here is the map, and what it teaches about your own integration layer.
Why Airline IT Looks the Way It Does (and Why That Was the Right Call)
Airline IT solved distributed interline settlement decades before distributed systems existed. The ticket was a bearer instrument, and that one fact explains PNRs, EMDs, and why ONE Order is only possible now.
AI Agent Frameworks for Lean IT Teams: How to Choose What You Can Actually Operate
How lean IT teams should evaluate AI agent frameworks by what they can deploy, observe, approve, and maintain in production.
Why AI Agents Still Get Business Questions Wrong
MCP and APIs can connect Claude to business apps, but they do not guarantee trusted answers. Learn why AI agents still need governed business definitions.
LangGraph vs OpenClaw: How to Choose Between Predictable Automation and Autonomous Agents
Read along to understand when LangGraph is safer, and when OpenClaw's autonomy is worth the risk.
OpenClaw for Companies: Why a Powerful AI Agent Does Not Belong on Your Laptop
OpenClaw is powerful precisely because it can read everything and change everything. That is exactly why it should not run on your laptop, your Mac Studio, or any device that holds your real files. Here is how we deploy it safely in disposable cloud VMs.
Snowflake in Practice: What We Learned After Using It at Two Clients
An honest review of Snowflake from two data engineers who used it in production. What works well, what is frustrating, and when it makes sense over alternatives.
How to Deploy Data Analytics in Manufacturing: From Shop Floor to Boardroom
A practical guide to deploying data analytics in manufacturing logistics and supply chain, built around the five-tier meeting structure that actually runs modern factories. From shift-level dashboards to multi-plant regional operations, powered by a single source of truth.
GA4 vs Power BI vs Databases: OLTP, OLAP, and Schemas Explained
GA4, Power BI, and BigQuery handle data differently. Understand schemas, OLTP vs OLAP trade-offs, and when to use each type of data product in your stack.