Data Preparation
Collect, clean and standardise data from the sources your business relies on.
DATA ANALYTICS
Turn business data into clear direction.
Bring your data together, improve reporting and build a trusted foundation for better decisions.
Power BI- Microsoft Fabric
- SQL
Python- DAX
- Power Query
Excel- Azure Data Factory
- Dataflows
PostgreSQL
MySQL
Dataverse- ETL
- Data Warehousing
- KPI Reporting
Tableau- AWS QuickSight
Data Analytics, designed around your business.
Most organisations already hold the data they need. It is spread across spreadsheets, databases and applications, defined differently by each team and difficult to trust.
We connect those sources, clean and model them, and present the result as reporting people understand, built on definitions the business has agreed.
What we build.
Focused solutions that connect your requirements to practical technology.
Data Modelling
Structured models and measures that give every report the same definitions.
Power BI Dashboards
Interactive reports that make performance visible and explorable.
SQL Solutions
Database design, queries and performance tuning for reporting and applications.
Data Warehousing
Central, history-aware stores built for reliable reporting.
Microsoft Fabric
Unified data engineering, warehousing and reporting on Microsoft Fabric.
Reporting Automation
Scheduled refreshes and distribution that replace manual report preparation.
KPI Frameworks
Agreed indicators, definitions and ownership so numbers mean the same thing everywhere.
From scattered sources to confident decisions.
Our analytics work follows a clear, repeatable path.
- Collect
- Clean
- Model
- Analyze
- Visualize
- Improve
Everything within Data Analytics.
Each module can be delivered on its own or as part of a connected solution.
Power BI
Interactive dashboards and reports on well-modelled datasets that stay fast and easy to maintain.
Discuss this serviceTableau
Visual analytics and dashboards in Tableau for teams that already use or prefer it.
Discuss this serviceAWS QuickSight
Cloud business intelligence on AWS, connected to your warehouses and data lakes.
Discuss this serviceMySQL
Database design, queries and performance tuning for reporting and applications.
Discuss this serviceDataverse
Dataverse as a governed data source for Power BI reporting and Power Platform solutions.
Discuss this serviceSharePoint
SharePoint lists and libraries as reporting sources, with refreshed and secured datasets.
Discuss this serviceMicrosoft Fabric
Data engineering, warehousing and reporting brought together in Microsoft Fabric.
Discuss this serviceStart with a meaningful problem.
Consolidate scattered spreadsheets
Bring separate files into one governed dataset with consistent definitions.
Build a management dashboard
Show the indicators leaders review each week in one place.
Automate recurring reports
Refresh and distribute monthly or weekly reports without manual copy-and-paste.
Prepare data for analysis
Clean, join and structure data so analysts spend time analysing rather than preparing.
Connect operational systems
Combine finance, sales and operations data for a single view of the business.
Modernise legacy reporting
Migrate older reports to a maintainable, documented Power BI or Fabric solution.
The right tools for the job.
We choose technology for your challenge, never the other way around.
- Power BI, DAX and Power Query
- Microsoft Fabric and Azure Data Factory
- SQL Server, PostgreSQL and MySQL
- Python for transformation and analysis
- Excel, Dataverse and cloud data sources
A clear path from idea to impact.
- CollectIdentify and connect the sources that hold your data.
- CleanStandardise formats, resolve duplicates and handle gaps.
- ModelCreate structures and measures with agreed definitions.
- AnalyzeExplore the data to answer real business questions.
- VisualizePresent results in dashboards designed for decisions.
- ImproveRefine models and reports as questions evolve.
Designed for your business.
One version of the numbers
Shared definitions reduce disagreements about which report is right.
Less manual preparation
Automated refreshes free analysts from repetitive spreadsheet work.
Decisions with context
Dashboards connect indicators to the detail behind them.
A foundation that grows
Models and pipelines are documented so new sources and questions can be added.
Your project, in context.
01How does a project begin?
We start with a discovery conversation about your goals, users, current systems and constraints. From that we agree a focused first scope, the information we need from your team and a practical delivery plan.
02Can you work with our existing systems?
Usually yes. We review your current tools, data and integrations first, then recommend what can be kept, connected or improved before suggesting anything new.
03What information do you need during discovery?
A list of the reports and questions that matter, access to representative data sources, and the people who understand how the numbers are used today.
04Can the solution grow with our business?
Yes. We design data models and pipelines to be extended with new sources, measures and users without rebuilding from scratch.
05Do you provide ongoing support?
Yes. After launch we can provide maintenance, monitoring, improvements and training, agreed as a support arrangement that fits how your team works.
Often combined with
LET’S TALK
Ready to discuss Data Analytics?
Tell us what you are trying to achieve. We will suggest a practical way forward.
Discuss Your Project