Data Culture Club catch-up: Motivation and Recognition
Data Culture work is often about encouraging colleagues to learn something new or adopt different ways of working. In our first virtual Data Culture Club event, we explored creative ways to drive engagement, curiosity and sustained participation in a way that feels meaningful rather than mandatory.
You Wouldn’t Plan a Road Trip Without a Map, So Why Transform Your Business Without One?
Before changing systems, processes or operating models, see how enterprise architecture reveals what connects, what depends and what could break.
What My NHS Health Check Taught Me About Data Management
A routine NHS Health Check revealed a familiar enterprise challenge: having the data is one thing. Making it trusted, connected and usable is another.
Connecting enterprise knowledge across a Global Fashion Group
How we used ontologies and semantic modelling to create a shared, trusted foundation for enterprise knowledge in a decentralised retail environment.
Proving data capability to scale AI with confidence for Standard Bank
How Standard Bank South Africa used DCAM® to prove progress above industry benchmarks, strengthen trusted data foundations and focus the next stage of investment behind analytics and AI.
Making Enterprise AI Work: Your Questions Answered
Watch Ortecha’s enterprise AI Q&A for practical answers on governance, ownership, business context and where to start with AI in your organisation.
Provision 29: What You Need to Know
New internal-control reporting requirements are putting greater accountability on UK boards. Here is what Provision 29 means, who it affects and why credible compliance depends on trustworthy data.
Webinar | Why Enterprise AI Fails – The Data Problems Nobody Fixed
Watch on-demand | Hear practical guidance from Howden, S&P Global and Ortecha on solving the data challenge behind enterprise AI.
Is AI About to Replace Power BI and Tableau?
AI can generate dashboards in minutes, but enterprise reporting requires more than great visuals. We explore where AI fits alongside Power BI and Tableau, and how to choose the right approach for prototyping, governance and production reporting.
Why Enterprise AI Fails: The Data Problems Nobody Fixed
You’ve been doing data for years. AI will show you whether you did it well enough. AI does not know your workarounds. Hidden data, accountability and governance gaps are becoming enterprise risks.
