Stop struggling with data adoption. Discover how Data Champions drive quality, build data trust, and translate data strategy into cultural success for maximum ROI.

Is your company's state-of-the-art dashboard gathering dust? You've invested in a cutting-edge AI model, but your team is still exporting data to Excel and relying on "gut feel."

This is the Data Engagement Gap, and it's a costly chasm between building a data product and having people actually use it to drive decisions. We've identified four core culprits behind this problem, and it's not the tech; it's the people. In our new blog, we break down why this happens and provide a practical 3-pillar blueprint to bridge the gap for good. Learn how to foster true data adoption and get a real return on your data investments.

Microsoft Fabric is evolving at an incredible pace. Discover our top 5 key takeaways from FabCon 2025, from the democratisation of Copilot to enhanced security and seamless data integration, and learn how they can transform your data strategy.

Discover the power of Data-Driven Decision Making (DDDM) for your organisation. This comprehensive guide covers what DDDM is, why it's crucial, its key components, and how overcoming common challenges with a strong data strategy can lead to exceptional business intelligence. Learn how Ei Square's data consulting expertise can help you succeed.

Unlock true business growth by moving beyond raw data. This post reveals how Key Performance Indicators (KPIs) transform your information into clear insights, driving smarter decisions, fostering accountability, and ensuring you're always on track to meet your strategic goals.

UK businesses lose billions to project delays. This blog explores how AI – predictive analytics, NLP, and machine learning – is transforming project management. Learn to improve forecasting, optimise resources, and proactively manage risks for more predictable project success.

Meet Linda, a marketing analyst wasting countless hours merging data. Forrester reports 83% of UK businesses face growth barriers due to data silos. This blog explores the hidden costs – reporting delays, misaligned teams, and stifled innovation – and presents a 4-step solution to achieve clarity with unified analytics.

This blog post provides a comprehensive, step-by-step guide for developing your own AI agent in the education domain. Whether your vision is to create a cutting-edge virtual tutor, an efficient automated grading assistant, or a dynamic student engagement chatbot, the general steps outlined below will provide a clear framework to structure your project and navigate the development process.