AI Data Analytics Blog
Practical insights on AI data analytics, data privacy and self-service analytics.
Entering Customer Data Into ChatGPT: What's Allowed in 2026
Entering customer data into ChatGPT — when is it GDPR compliant and when a violation? A clear allowed/not-allowed decision with criteria for CFOs and IT leads.
How Reliable Is AI Data Analysis? 90% Demo vs. 6% Reality
Text-to-SQL hits 86%+ accuracy in benchmarks — on real enterprise databases GPT-4 drops to 6%. Why AI data analysis fails on multi-filter metrics.
Natural Language BI 2026: Definition & Vendor Landscape
Natural Language BI explained: definition, four-layer architecture, 8 vendors compared, and when it pays off for mid-market teams.
AI Data Analytics in Controlling: Monthly Close in Minutes
AI data analytics in controlling: how mid-market finance teams collapse three days of monthly-close prep to 20 minutes. Honest numbers, clear limits, concrete setup.
Shopware Analytics Alternative: 5 Analyses That Are Missing
Shopware Analytics shows revenue — but not return rate per product, true ROAS, or assortment gaps. Five analyses most merchants lack, plus a live market-comparison example.
8 AI Analytics Tools Compared 2026: Real Pricing, Strengths & Weaknesses
Power BI Copilot from €300/month, oneAgent €500/month, Julius AI €18/month: We benchmark 8 AI analytics platforms for mid-market companies — with real pricing, honest weaknesses, and clear recommendations for European buyers. As of July 2026.
Bitkom 2026: 41% Use AI, a Third Overpays for It
41% of German companies now use AI — double the 2025 figure. A third report unexpectedly high costs, 53% cite legal uncertainty. What's behind the Bitkom 2026 numbers and what mid-market firms must do differently.
Entering Company Data into ChatGPT? Why That's Risky — and What the Alternative Is
Many employees use ChatGPT with company data — often without knowing what happens to it. We explain the risks and show a secure alternative for AI data analytics.
Databricks Genie vs. oneAgent: Does the Mid-Market Really Need Agentic Engineering?
Databricks Genie Code promises autonomous data engineering via AI. Sounds impressive — but does a mid-sized company actually need it? An honest comparison with numbers, facts, and a clear recommendation.
Returns Analysis: Which Products, Customers, and Channels Are Eating Your Margin?
Most retailers know their return rate — but not which products, channels, and customer segments are actually killing their margin. We show how a cause-based returns analysis works and why it's critical for e-commerce profitability.
EU AI Act on 2 August 2026: What Applies — and What Doesn't
On 2 August 2026, the EU AI Act becomes generally applicable: transparency obligations for chatbots and AI content, enforceable fines, national supervision. Only the high-risk obligations remain postponed. What companies need to do before the deadline — as of July 2026.
76% of IT Leaders Say Data Silos Block AI — Here's How to Break Them
Data silos are the biggest obstacle to AI in mid-market companies. 76% of IT leaders confirm it. We show why traditional integration approaches fail — and how ready-made connectors let you start immediately.
Power BI Copilot: Over EUR 5,000/Month — Are There Alternatives for Mid-Market Companies?
Microsoft is making Power BI Copilot the standard — but costs start at EUR 5,258 per month. We break down what Copilot offers, where it falls short, and what alternatives exist for mid-market companies.
Shadow AI: Why Your Employees Are Secretly Feeding Company Data to ChatGPT
80% of companies use AI — but fewer than half have security controls in place. Shadow AI is already a reality. We explain why bans don't work and what does.
Which Products Are Truly Profitable? How to Calculate the Real Contribution Margin per Item
Most e-commerce dashboards show revenue — but not which products actually make money after marketing, fulfillment, returns, and payment costs. Here's how to calculate the real contribution margin per item.
96% Wrong: Why ChatGPT Fabricates Your Business Data
A study by maxonline (2026, 150 DACH mid-market companies, 450+ prompts) shows: 96% of the CEO names ChatGPT provides are fabricated. We explain why generative AI fails at business data — and how deterministic analytics solves the problem.
Comparisons & Alternatives
All comparisons →How does oneAgent compare to other AI analytics platforms? Honest side-by-side comparisons with concrete numbers.