Accurate enrolment forecasts touch nearly every aspect of a school's operations and long-term success. From budget planning and staffing to resource allocation and facilities management. They help schools avoid the pitfalls of overcrowded classrooms or empty seats, ensure appropriate teacher-to-student ratios, and guide long-term strategic planning.

Learn how to predict those enrolments effectively. In this blog, we will guide you through a step-by-step, robust methodology for building a predictive model, highlighting common pitfalls to avoid and sharing best practices to ensure accuracy.

Imagine knowing why exactly students choose your school—or why they don't. What if you could predict enrolment trends with uncanny accuracy, or pinpoint the exact moment a potential student loses interest? In this blog, we explore how your school’s admissions data can enhance enrolment strategies, optimise recruitment efforts and help tackle data management challenges.

Successful stakeholder management requires a deep understanding of each party's needs and concerns. Clients may be primarily focused on the end result and overall value. Sponsors often prioritise budgets, timelines, and return on investment. Team members bring specialised skills and are concerned with day-to-day operations and their specific responsibilities. The challenge for project managers lies in balancing these varied interests.

In this blog, we will discuss some actionable tips and strategies for mastering the art of stakeholder expectation management.

In the education industry, employee surveys are crucial tools for evaluating performance and understanding staff needs.. These surveys offer priceless information to school managers and heads of schools in helping them make better decisions and improve schools’ business performance.

However, traditional methods of analysing these surveys often fall short of providing actionable insights. This is where Power BI dashboards come into play, revolutionising the way educational institutions handle survey data.

In the shadows of the UK's housing shortage lurks a paradoxical problem: the rising tide of empty properties. As of 2023, over 238,000 homes in England have been sitting vacant for more than six months, a number that has surged by 5.3% since 2022. But amidst this crisis, a revolution is brewing. The same digital transformation that has reshaped industries from finance to healthcare is now setting its sights on social housing.

In this blog, we'll dive deep into the impact of empty properties on social housing and explore how data-driven strategies offer hope for a more efficient, equitable future. We will also explore real-world applications of these technologies and the tangible differences they can make for housing communities across the country.

In this comprehensive guide, we'll dive deep into the world of open table formats, exploring what they are, why they're crucial, the various options available & their features and how they're shaping the future of data management and analysis.

Within the chaotic field of project management, scope creep may appear as an unwanted visitor who persistently stays after they are invited. It starts subtly – a "quick" feature addition here, a seemingly minor adjustment there. But before you know it, the project's original vision has morphed into something unrecognisable, deadlines have become distant mirages, and your budget is on life support.

In this blog, we share some battle-tested tactics to help you keep your projects on track!

The integration of artificial intelligence (AI) into data analytics tools like Microsoft's Power BI has ushered in a new era of efficiency and insight. In this blog, we'll dive into all the AI capabilities in Power BI, looking at what they can do, limitations to be aware of, and best practises for getting the most out of these powerful AI tools. By understanding AI's potential and how to use it effectively, businesses can gain valuable data insights more quickly and easily

No doubt the use of digital technologies in our working lives have multiplied; along with them the data they generate. With volume of data growth at such staggering levels, ensuring that the data being collected, stored, and used throughout an organisation is accurate, consistent, dependable, and relevant is not a nice-to-have but a must.

Keep reading to discover the key components of robust data governance practices. In this blog, we also delve into how centralised insights simplify data governance and how to effectively govern visualizations within a centralised data.