Analysis & Reporting

Overview

We specialise in making your organisation’s data accessible through the delivery of intuitive and actionable insights. Transforming your data into a tangible asset that works for you, rather than acting as a barrier to your company strategy and ambitions.

We offer clear and reliable outputs that are user centric. Enabling staff across your organisation to gain knowledge and unlock valuable insights to make informed and timely decisions. Increasing confidence that actions taken align to business needs and help progress company goals.

What we deliver

1. Reporting-as-a-service: Only by giving your decision makers access to insights can they help you run a truly data-driven organisation. This means scaling your analysis and reporting enterprise-wide, across disparate datasets, siloed functions and busy teams. Transforming your data into a tangible asset that works for you, underpinning your strategic and operational objectives.
   
   We can supercharge that task by augmenting your existing teams with our talented teams of data engineers, analysts and BI specialists. Our teams are specialists at designing and rolling-out Agile programmes to deliver reporting-as-a-service in as little as 6 months.
2. Bespoke Analysis & Reports: To be actionable by decision makers analysis needs to be focused on the issues they face and the levers they can move. Designing analysis to provide the information the decision makers needs requires close engagement and business understanding. We work with you to ensure we ask the right questions of the data, producing analytical products that enable impact.
   
   We surface this analysis through carefully designed reports and digital solutions so that the user can interpret the outputs intuitively, quickly and easily arriving at the decision point. 

Technology

Power BI

Azure Synapse

AWS Athena

AWS Quicksight

Our approach

Our aim is to enable your users to make better decisions by empowering them with easy to use, intuitive and actionable analysis. We start by understanding your user needs, organisational objectives and culture of data-orientated decision making.

1. Discovery: The power of analytics is rooted in the business processes and the organisations access and availability to the data that supports the scope of analysis to be undertaken.
   
   We respect the importance of knowledge and expertise within an organisation and recognise the unique structures and ways of working between different organisations. Accordingly, we recommend that the initial phase of work includes an appropriate discovery phase. Aligned to the complexity of your business, its data, and the level of opportunity and measure of success being targeted.
   
   The discovery phase allows us to connect with subject matter experts and business users across your organisation. Ensuring that we have a clear understanding of all user needs, review the sources of data available, understand the current position your organisation is at within their roadmap, and evaluate any gaps, potential barriers, or limitations to meeting the full scope of work. Increasing transparency to the schedule of work and prospective return on investment before progressing to development sprints.
2. Design: That understanding forms the foundations of our agile user-centred design process, which takes your stakeholders through hands-on, interactive wireframing and prototyping as we collaboratively design your future reporting. We will work closely with you to understand the questions your teams are seeking to answer. We’ll build analysis and reporting iteratively, testing metrics and visualisations with users to ensure we’re meeting their needs, adding value, and demonstrating measurable benefits.
3. Deploy: Our teams are specialists at designing and rolling-out Agile programmes and delivering enterprise-wide reporting in as little as 6 months. As a registered AWS partner and Microsoft Gold Partners for Data Analytics, we specialise in deploying analytics at scale. We can even supercharge delivery by augmenting your existing teams with our talented teams of data engineers, analysts and BI specialists.
4. Analyse and Interpret: We start any analysis by understanding the business problem and the purpose of undertaking an analytical approach. Developing an appreciation of how the analysis is intended to inform action and deliver an impact. Once this is clear we can progress through the initial requisites such as data governance, ethics and methodological design to undertake the Data Science and data visualisation.
   
   Analysis can be descriptive, prescriptive or predictive as is necessary for the purpose intended. We can build in thresholds for action and use these to automate alerts, using formal statistical approaches, internal organisational rules or external mandates such as regulatory KPIs, as desired.
   
   Our purpose is to enable beneficial impact, so translating and interpreting data into action to drive change is our core focus.  We are domain specialists in the sectors we work in, with deep experience in health and care, central and local government and defence. We use this domain knowledge to support clients by helping them understand how the analysis informs action. What does the data mean to them, in the context of their problems and the levers they have to make changes.
   
   We create carefully constructed narrative reports and data visualisations, putting the analysis in context and delivering intelligence for decision makers to act, enabling persuasive arguments for change to deliver impact.

Case Studies

Disposal Management - Defence Equipment and Support (DE&S)

If an item becomes obsolete, no longer in use or isn’t working, it’s either disposed of or sent to storage. Across DE&S, there was no set process to monitor and manage the disposal risk of these items. It was only being done at team level, tracked over non-interfaced electronic systems, local spreadsheets and paper-based registers.

Systems could not be linked. Confidence in the disposal process could not be recorded or understood.

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Stethoscope - The CCG

The CCG was overloaded with datasets, spending a lot of time collating data from various sources for analysis. They required assistance in navigating the vast flows of data that the NHS generates and had a requirement to access this data through an online platform and automated reports, which could visualise benchmarked and predictive data for interpretation in a clearer way than their current and complex spreadsheets.

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