Why existing approaches fall short

Why existing approaches fall short

Most organisations don't ignore the problem. They try to solve it using tools that address only part of it.

Each of the following approaches improves part of the reporting process. The difficulty is that none fundamentally changes how management information is created, maintained and delivered across the organisation. The underlying challenge remains.

Native ERP Reporting

If ERP reporting is enough, why are the same Excel files still being exported every week?

ERP systems are designed to run the business, not to answer every management question. As new management questions emerge, organisations typically create additional reports, export data into Excel and build manual workarounds around the ERP. The result is not more efficient reporting, but another reporting layer that still depends on manual work.

Excel & Manual Reporting

Every new management question creates another spreadsheet.

Spreadsheets are excellent analytical tools, but they were never designed to become the reporting process itself. Each new report, manual calculation and reconciliation increases effort, introduces opportunities for error and consumes time that could be spent analysing the business instead of preparing information. Eventually, the reporting problem hasn't been solved - it has simply moved into Excel.

Stand-alone BI Tools

A dashboard is only as good as the information behind it.

Dashboards make information easier to consume, but they cannot improve the quality of the data they receive. If information still has to be exported, reconciled and manually prepared before it reaches the dashboard, the reporting process remains unchanged. Better visualisation simply presents the same underlying problems.

Traditional Analytics Projects

Why pay to rebuild what has already been built?

Traditional analytics projects often begin by engineering ERP connectors, data pipelines, analytical models and standard dashboards from scratch. Much of this work recreates capabilities that have already been engineered many times before, increasing implementation cost, extending delivery time and delaying business value.

Internal Development

Building an analytics platform also means running one.

Developing an in-house solution provides complete control, but it also creates a long-term responsibility for building, operating and continuously evolving an analytics platform. For most SMEs, maintaining specialised data engineering capabilities is neither practical nor where they want to invest their time and resources.