Robust data is the foundation of your business
Data
Today data is an important business asset and its management requires a good data strategy. Data strategies come in all shapes and sizes tailored to your needs, but a little strategy goes a long way! We can centralise your organisational data sources into a data warehouse, integrate your key systems and synchronise your master data to ensure consistency. 
Data Solutions
Data Strategy
Data today is a corporate asset and something that needs governance and oversight to ensure its quality. We ensure that data strategy is built into our automation approach so that we always consider governance, data architecture, data flow and data integration across all of our solutions.
Triangulation of Data
When you have files from customers, suppliers and your internal systems it is key that you join the 3 types of data together to ensure that there are no lurking issues, unclaimed revenues or leaky costs. We build your data sources into a quality assurance system that keeps your business on track.
Data Validation
Data validation or quality assurance is engineered into everything that we do. It’s essential that this is not an afterthought but is used to build assurance over your activities particularly where you have implemented automated solutions.
Reporting
We use PowerBI to create dashboards across your entire business that are KPI driven and allow for strategic thinking, detailed drill down and issue investigation. Power BI is simple to use, simple and we typically create a small set of key mission-critical reports for you. We can then provide training so that you can create your own reports going forwards.
Data Warehouse
A data warehouse or data lake is essential in most businesses to act as a single source of truth across your business. It is a place where data from all systems may be collated, transformed and joined together into a single data model. This warehouse is where PowerBI reports sit on top and allow for dashboards and exception reports to power your business.
Actionable Insights
Once you have your data centralised in a robust and quality manner you can begin to run analyses and apply machine learning to identify actionable insight. As this system becomes more mature you can even use automation to action some of these issues or insights to complete the circle and create a self-healing system. Management reports at the summary and exception levels allow you to have confidence that this system is running as it should.