Systems | Development | Analytics | API | Testing

How to create a weekly GA4 report with AI (free Databox GA4 report skill)

How do you create a weekly GA4 report with AI? Run the free GA4 Website Traffic & Performance Report skill in Databox. Genie, the Databox AI Analyst, reads your live Google Analytics 4 data and writes the whole weekly report: the verdict, channels, landing pages, conversions, trends and anomaly flags. The same skill also runs in Claude through Databox MCP. In this video: Chapters Key terms Tools and data sources shown: Google Analytics 4, Facebook Ads, Asana (Asana MCP connector), Slack, Claude with Databox MCP. All data is a fictional demo account.

How to create a monthly executive report with AI (Databox Executive Decision Brief)

How do you create a monthly executive report with AI? Run the Executive Decision Brief skill in Databox. Genie, the Databox AI Analyst, reads your connected metrics and writes a one-page leadership brief: the executive takeaway, wins, risks, contradictions between metrics, and three "Should we..." decisions to discuss. It reads in about 90 seconds, and the same skill runs in Claude through Databox MCP.

MCP vs. API: What's the difference for AI analysis?

Businesses have long used APIs to connect their software applications and exchange data. These connections power many of the tools companies rely on for reporting, allowing them to bring information from different systems into one place and keep their reports up to date. Now, AI assistants like ChatGPT and Claude can connect to those same business applications through MCP (Model Context Protocol), making it easier to access information and perform tasks using natural language.

Why did our pipeline drop? How to find the cause in your HubSpot deal notes with AI

Open pipeline drops when deals leave it (closed won, closed lost or pushed out of the period) or when fewer new deals come in. Your CRM dashboard shows which of those happened. The reason behind it sits in HubSpot, in the notes, emails and call logs on the deals themselves. To find it in one question, ask an AI analyst that can read both. With the HubSpot MCP connector, Genie, the Databox AI Analyst, traces the drop to the deals behind it and tells you what the reps wrote about them.

How to Measure the Impact of a Product Launch With AI and Your Notion Specs

To measure the impact of a product launch, grade it against the target written in its spec. Every launch spec names a metric, a target and a time window. Once the window closes, the launch either hit that target or missed it. Before then, it’s too early to call. The hard part is getting the target and the result into the same view, because the target lives in Notion and the result lives on your dashboard.

How Astera Uses ARIA: Data Migration

Moving the data is the easy part. Planning is where data migrations go wrong. Sudais (Growth Strategist) sits down with Nabeel Farooqui (Lead Software Engineer), to talk about how Astera uses ARIA on data migration projects, and what changes when you describe the goal to an agent instead of facing a blank canvas. Nabeel has run migrations with and without ARIA. He explains where projects usually go wrong, how ARIA handles the setup in Centerprise, how to validate the pipeline it builds, and the best practices he's learned along the way.

New Forrester study: Why modernizing data streaming is about more than cost savings

A new Forrester Total Economic Impact (TEI) study commissioned by Confluent, an IBM company and data streaming platform, found that a representative composite organization achieved 137% ROI, USD 2.1 million in net present value and a 10-month payback period. Those are meaningful results. The ROI is notable. What's more interesting is where the value came from. Modernization is often framed as an infrastructure problem. Leaders compare platform costs, migration and operating costs.