Data is the lifeblood of any modern business. It can help you understand your service users, improve your products, perfect your processes, and drive innovation. But data alone is not enough. You need the right skills, tools, and methods to turn data into insights and actions.

We will collaborate with you to understand your business needs, challenges, and opportunities, and tailor our data and analytics services to your specific situation. Whether you need to design a data and analytics strategy, conduct a data analysis, build a data engineering pipeline, apply data science techniques, follow data ethical practices, or train your staff on data skills, we have the solution.

Our ability to work in the Power BI ecosystem ensures that we can provide you with the best data visualisation and reporting services, allowing you to make informed decisions based on your data.

Our team also has complementary skills in Data Science, Machine Learning, Robotic Process Automation, and coding with Python, allowing us to offer a comprehensive range of data, analytical and process automation services to meet your needs, including:

We offer a range of data services that can be customised to your specific needs and goals. Here are some of the services that we provide:

• Data & Analytics Strategy: We help you define your data vision, goals, and roadmap. We assess your current data maturity, find your data gaps and opportunities, and recommend the best data solutions for your business.
• Data Analysis: We help you explore, visualise, and interpret your data. We use various analytical techniques, such as descriptive, diagnostic, predictive, and prescriptive analytics, to answer your business questions and generate insights.
• Data Engineering: We help you collect, store, process, and manage your data. We design and implement data engineering pipelines, using the latest technologies and best practices, to ensure the quality, security, and scalability of your data.
• Data Science: We help you apply advanced data science methods, such as machine learning, artificial intelligence, and natural language processing, to solve your complex business problems and create value from your data.
• Data Ethics: We help you ensure that your data practices are ethical, responsible, and compliant. We help you define your data principles, policies, and standards, and guide you on how to manage data privacy, security, and governance issues.
• Data & Analytics Training: We help you develop your data skills and capabilities. We offer data training courses, workshops, and coaching sessions, covering diverse topics and levels, to empower your staff to become data-savvy and data-driven.

Case Studies

Optimising Hospital Transport Services

The client was facing a significant challenge: excessive spending on ad-hoc transport services. In response, our team of experts meticulously cleaned, geocoded, and mapped the data to provide the client with a comprehensive visualisation of transport patterns and costs. Our in-depth analysis included benchmarking and time data assessment, leading to actionable insights for route optimisation. The client was impressed by the depth of insights and the user-friendly dashboard, and engaged us for drafting new transport contract specifications focused on efficiency and cost reduction. Our innovative approach set a precedent for similar projects, demonstrating our capability to transform complex data into strategic advantages.

Enhancing Anomaly Detection with Machine Learning

Detecting fraudulent credit card transactions within a highly imbalanced dataset is a daunting task. Our client needed a sophisticated solution, and we delivered. Leveraging the power of Python, we developed a machine learning model tailored to address the imbalance and enhance detection accuracy. Our model achieved a remarkable 96% F-score, demonstrating its efficacy in identifying fraudulent transactions. This project not only showcased the versatility of Python in tackling complex data challenges but also emphasised our model's potential to significantly reduce human error in fraud detection. While still in the experimental phase, our approach offers a promising solution for clients grappling with similar challenges.

Waiting List Analysis 

Our client, tasked us with analysing waiting list data from four specialties. The goal was to distil key trends and differences between urgent and routine patients into a succinct report. Our data & analytics team efficiently structured the data and collaborated across departments to produce an elegant, insightful report. Utilising Power BI, we made our findings accessible online, introducing a new level of data visualisation to our audits. This project highlighted the importance of contextual understanding in data analysis to avoid misleading conclusions. The client's reception was enthusiastic, and they were eager to integrate similar visualisations in future reports.

To find out how our team can support your organisation, contact Colin McFarlane, Head of Business Intelligence, Data Analytics and Systems