Practical thinking on data, BI and AI

Five questions an email marketing team should be able to answer from its data: from the true impact of a campaign to leaking discount codes and lapsed customers worth winning back.

Melanie Poonai

2 October 2026 · 5 min read

Most renewal risk models treat usage as one number, when it isn’t. What people click and what actually flows through the product are two different signals. Where they disagree is where risk and opportunity can be identified first.

Melanie Poonai

21 September 2026 · 6 min read

Here’s what’s changed, what AI is really capable of, and how to use BI and AI together without losing trust in the numbers.

Nazarii Kalichynskyi

7 September 2026 · 6 min read

Every business owner has sat in a meeting where two reports show two different numbers, and nobody can say with confidence which one is right. If that sounds familiar, the problem is usually your systems, and the fact that they were never actually connected.

Nazarii Kalichynskyi

7 September 2026 · 6 min read

Here’s why it happens, what it’s costing your business, and how the right business reporting solution fixes it.

Ewelina Stawicka

21 August 2026 · 5 min read

Two parallel workstreams, eight data sources, one Claude interface. An inside look at the architectural choices that make AI on enterprise data actually work, and what they tell you about how to do this properly.

Nazarii Kalichynskyi

14 June 2026 · 11 min read

The problem usually isn’t the data. It’s the absence of a shared, trusted layer that makes that data mean the same thing across the whole business.

Ewelina Stawicka

14 June 2026 · 8 min read

Plenty of organisations have BI. Far fewer have seen what BI can really do. The gap between functional and great is bigger than most people realise, and it changes how people actually engage with their data.

Ewelina Stawicka

13 June 2026 · 7 min read

Started with a single proof-of-concept. Now powering every part of the business. Around fifteen source systems, a full suite of Power BI Apps used across the organisation, an integration layer carrying thousands of transactions a day, and a marketing analytics programme building on top of all of it. Here is what a properly built retail data platform actually looks like.

Nazarii Kalichynskyi

11 June 2026 · 10 min read

For a luxury brand, every customer touchpoint has to feel considered. So why should the dashboards that run the business be any different? Inside the build of a Power BI environment designed to match the brand it serves.

Melanie Poonai

11 June 2026 · 7 min read

The most practical first step is not a big AI strategy. It is putting a data agent on top of the data and BI you already have.

Nazarii Kalichynskyi

10 June 2026 · 7 min read

Most organisations invest in storing data. Fewer invest in making sure that data means the same thing everywhere. That’s the gap semantic modelling closes, and it’s the gap that determines whether your data platform actually delivers.

Ewelina Stawicka

5 May 2026 · 6 min read