Research & Insights

Research & Insights.

What we're finding β€” on data strategy, analytics adoption, and where organisations are getting it wrong.

Recent

Published research β€” free to read in full.

Data Strategy

The Confidence Gap

AI adoption is running ahead of organisational trust in the data behind it. Here's why the gap exists and what closes it.

Oct 2026Read
Data Strategy

The Founder's Time Tax

Why founders lose time to admin and early-stage companies lose direction, for opposite reasons.

Oct 2026Read
Analytics Efficiency

The Industry Reporting Gap

The same reporting gap shows up in construction, retail, marketing, and media. Here's what it looks like in each.

Oct 2026Read
Analytics Efficiency

The Reporting Gap, Two Ways

Spreadsheets and BI tools fail in opposite ways, one from too little structure, the other from structure nobody uses.

Oct 2026Read
Archive
Sep 2026
Data StrategyAre You Actually Seeing What Your Customers Are Telling You?

Most organisations collect more customer data than they have ever had. The more important question is whether any of it is telling them something useful.

Aug 2026
Data StrategyWhy Your Reporting Setup Is Making Your AI Investment Useless

Most organisations are investing heavily in AI while ignoring the fragmented, ungoverned reporting infrastructure beneath it. That's why 88% of AI pilots never reach production.

Aug 2026
Marketing AnalyticsAttribution Models in 2026: What the Data Shows About What Actually Works

91% of CMOs say accurate attribution is extremely important. Only 13% report high confidence in their current approach. The problem is not a lack of models β€” it is how organisations select, align around, and operationalise them.

Jul 2026
Data StrategyThe Data Maturity Gap: Why Most Organisations Are Further Behind Than They Think

The gap between investment and capability is not a technology problem β€” it is a maturity problem.

Jul 2026
Analytics EfficiencyThe Reporting Tax: Why Most Teams Spend More Time on Data Than They Should

Data analysts spend less than half their working time actually analysing data. The rest goes to finding, preparing, and distributing it. This article examines the structural causes of reporting inefficiency β€” and what the research says about how high-performing analytics functions close the gap.

May 2026
MarketingMarketing Can't Measure Itself

This report examines why the attribution problem is getting harder, not easier β€” and what leading organisations are doing about it.

May 2026
Data StrategyThe Spreadsheet That AI Forgot

This report dissects how manual reporting has survived the AI era and the subsequent cost of keeping it within your workflows.

Apr 2026
Data StrategyMore Data, Worse Decisions

This report examines the $1 trillion cost of information overload and what the best organisations are doing differently.

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