Blog
Tips and advice joined in regular blog posts from experts at Databox on how to help your business focus on the things that really matter.
The Marketing Manager’s Guide to Questioning AI-Generated Analytics
A five-question audit, with the exact prompts to paste, walked through on a real LinkedIn CPL spike. TL;DR Introduction It is Wednesday morning. A marketing ...
by Nevena Rudan · Oct 8
Business Analytics Solutions With Embedded Generative AI: An Executive’s Guide to What’s Real in 2026
Every analytics vendor claims AI. Few can prove their AI is doing real analytical work. Here is what executives need to verify before committing budget ...
by Nevena Rudan · Sep 24
What “AI-Ready Data” Actually Means And How to Tell If Yours Is
TL;DR Introduction You turned on an AI feature in your analytics tool. It surfaced an insight about your pipeline. You looked at it, paused, and ...
by Nevena Rudan · Oct 8
The Best AI Tools for Data Analysis in 2026
Most AI analytics tools added a chatbot to a dashboard and called it intelligence. These eight actually change how fast your team goes from question ...
by Nevena Rudan · Oct 8
How to Prevent AI Hallucinations: 3 Hidden Threats When AI Analyzes Your Data
TL;DR Introduction A VP of Marketing presents an AI-generated performance review on a Monday morning. The CAC numbers are clean. The trend lines are directional. ...
by Nevena Rudan · Oct 8
How to Use AI in Data Analytics: 6 Capabilities That Change Who Uses Your Data
The shift isn’t faster reports — it’s a wider question-asking surface. TL;DR Introduction How many people on your team can get a real answer to ...
by Nevena Rudan · Oct 8
Is BI Dead? No, But Its Monopoly Is
A debate is running through the data and analytics community: BI is dead. The framing is wrong. The honest version of the argument points to ...
by Davorin Gabrovec · Sep 24
New: Close The Gaps In Your Reporting Stack With Custom Integrations
Most teams work across dozens of tools, and not all of them connect to their reporting workflows out of the box. There are always sources ...
by Monise Branca · May 8
The Ecosystem-Led Growth Playbook: How Clay Built a Community That Sells
Most SaaS companies follow the same growth script: hire sales reps, run ads, build a demand gen engine, and hope the pipeline holds. Instead, Clay ...
by Špela Jurič · Apr 29
9 Real Prompts to Ask AI About Your Stripe and QuickBooks Data (And How to Extend Them)
A working starter pack for finance and functional leaders — plus what to ask next once the conversation opens up. TL;DR Introduction You’re twenty minutes ...
by Nevena Rudan · Sep 24
Questions to Ask AI About Your Sales Pipeline and CRM Data
The right question returns a deal name, an owner, and a dollar value. The wrong one returns a framework about pipeline health. The difference is ...
by Nevena Rudan · Sep 24
13 Agentic Analytics Workflows Running in Practice
I spent years building dashboards that nobody used. Not because they were bad dashboards — they were actually pretty good. Clean visualizations, real-time data, all ...
by Alexander B. Pavlinek · Sep 24
Questions to Ask AI About Your Marketing Data (HubSpot, GA4, Google Ads)
50+ platform-specific questions drawn from the Databox Prompt Library, plus the framework that separates answers you can act on from answers that sound right. TL;DR ...
by Nevena Rudan · Sep 24
7 Data Literacy Gaps (and Practical Strategies for Building Data Confidence Across Your Team)
Your company has more data than ever. Your dashboards are full. And your teams are still making decisions on gut instinct, misaligned metrics, and siloed ...
by Nevena Rudan · Sep 24
Dashboard Graveyards: Why Nobody Uses the Reports You Built (And What to Do Instead)
Most dashboards stop getting opened long before anyone admits it. Here is why and what to build instead. TL;DR Introduction You open the analytics panel ...
by Nevena Rudan · Sep 24
Your AI Tool Gives Confident Answers. Are They Based on Your Actual Data?
Most AI tools for business data sound authoritative even when they are wrong. The problem is not the model. It is the architecture behind it. ...
by Nevena Rudan · Sep 24
Are Your Executives Actually Making Decisions From Data Or Just Alongside It?
Most executives believe they are metric-directed. The evidence says they are metric-adjacent — and the gap is costing them decisions. TL;DR Introduction Monday morning. The ...
by Nevena Rudan · Sep 24
Why a Structured Mentoring Program Belongs in Your Growth Strategy
Mentoring is often seen as an informal, “nice-to-have” initiative when in reality, it can be an important part of your growth strategy. We’ve learned that ...
by Špela Jurič · Apr 8
Why Did Revenue Drop This Month? How to Diagnose It Yourself (Without Waiting 3 Days for a Report)
You have the data. You just need to know which question to ask first. TL;DR Revenue dropped this month. You asked your team why. You ...
by Nevena Rudan · Sep 24
The Ad Attribution Problem: Every Platform Claims Credit, Nobody Tells the Truth
TL;DR Google Ads claims 47 conversions. Meta claims 52. LinkedIn claims 31. Your CRM shows 38 closed customers. Someone is lying – and it’s not ...
by Nevena Rudan · Sep 24
BI Tools Comparison: A Framework for Revenue Teams Who’ve Been Burned Before
60% of BI initiatives fail to deliver business value—despite more than $15 billion spent annually on business intelligence or BI tools, according to Dataversity (November ...
by Nevena Rudan · Sep 24