The challenges facing many SMEs
Reliable • Timely • Accessible
The challenge facing many SMEs is not a lack of data. It is turning that data into reliable, timely and accessible management information.
The challenge facing many SMEs is not a lack of data. It is turning that data into reliable, timely and accessible management information.
The hidden cost of manual and fragmented reporting is not producing reports. It is reducing the organisation's ability to make better decisions.
Management information exists to support decision-making, but when it is no longer reliable, timely and accessible, management spends more time preparing, reconciling and validating information than understanding business performance. The result is slower, less confident and less effective business decisions.
Reporting rarely fails overnight. It gradually evolves until it no longer supports the way the organisation makes decisions.
As organisations evolve, management questions become more targeted and information becomes spread across multiple systems. Reporting continues to function, but management information gradually becomes harder to trust, slower to deliver and more difficult to access, reducing its ability to support effective decision-making.
Most companies don't ignore the problem. They try to solve it using tools that only address part of the issue without solving the underlying challenge.
RP reporting, spreadsheets, BI tools, traditional analytics projects and internal development each improve part of the reporting process. The difficulty is that none fundamentally changes how management information is created, maintained and delivered, leaving the underlying challenge largely unchanged.
The answer isn't another reporting tool or another custom-built analytics project. It's a pre-built way of delivering analytics.
Instead of rebuilding common analytical capabilities for every implementation, organisations deploy a pre-built analytics platform where the common engineering already exists. The result is faster implementation, lower costs and a more predictable path to future analytical capabilities.