Practical tips for managing stakeholder expectations in project delivery

Practical tips for managing stakeholder expectations in project delivery

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.

Power BI Dashboards for Employee Survey Analysis in Schools & MATs

Power BI Dashboards for Employee Survey Analysis in Schools & MATs

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.

5 Data-driven strategies to prevent the rise of empty social housing properties

5 Data-driven strategies to prevent the rise of empty social housing properties

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.

Managing Project Scope Creep: Strategies to Keep Your Projects on Track

Managing Project Scope Creep: Strategies to Keep Your Projects on Track

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!

Evaluating AI Visualisation tools in Power BI

Evaluating AI Visualisation tools in Power BI

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

Governing your centralised data

Governing your centralised data

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.

The role of analytics, statistics, and machine learning in data science life cycle

The role of analytics, statistics, and machine learning in data science life cycle

As we all know the field of data science has emerged as a transformative force in the recent years. But what exactly falls under the data science umbrella? This blogs uncovers the core disciplines - analytics, statistics, and machine learning - exploring their roles throughout the data science life cycle (CRISP-DM) . You'll learn the distinctions as well as their interconnected roles in driving a structured data science approach. 

Everything you need to know about achieving data fluency at your organisation

Everything you need to know about achieving data fluency at your organisation

As our ability to gather, process, and utilise data grows, so does the importance of being fluent in its language.

But what exactly is data fluency? Who benefits from it? What are the risks of not having it, and how can organisations ensure they are fluent in the language of data?

In this blog we explore the significance of data fluency, the pitfalls of not having it, and provide you with a comprehensive framework for achieving fluency within your organisation. Discover answers to questions such as data literacy versus data fluency, common challenges in implementation, and practical strategies for fostering a data-fluent culture within your team

The key to building a flexible centralised insights platform.

The key to building a flexible centralised insights platform.

Centralised data management has become a cornerstone for businesses seeking efficiency, consistency, and improved decision-making. However, the journey towards centralised data management is not without its challenges. As businesses evolve and grow, the scalability and adaptability of centralised data systems become critical considerations. Without a flexible and agile infrastructure, organisations risk being constrained by rigid data architectures that cannot keep pace with changing business requirements.

So, where do you start? How do you ensure the initial implementation is flexible to change?  In this blog, we explore the various building blocks for creating a centralised insights platform that is adaptable and agile.