Reporting
Reporting is the systematic process of preparing, consolidating and delivering company data as structured reports and key figures, so that decision-makers can make well-founded decisions and monitor whether targets are being met.
Reporting is the systematic process by which a company collects, consolidates and delivers data from operational systems in the form of clear reports, tables and key figures. The goal is to give recipients – from management and department heads down to clerks – an up-to-date, reliable picture of the company’s situation and development, so they can base decisions on facts rather than gut feeling.
A report always answers a specific question: How did revenue develop per channel? Which items tie up the most capital? Are the open items within a healthy range? To do this, raw data from inventory management, accounting, sales or the warehouse is selected, grouped, calculated and presented clearly. Good reporting is therefore less a question of data volume than of the right consolidation: it reduces complexity to the few figures that actually matter for steering and control.
At a glance
- Reporting = systematically preparing and delivering data as reports
- Answers specific questions on revenue, stock, finances and processes
- Distinction: standard reporting (recurring) vs. ad-hoc reporting
- Built on transactional and master data from the ERP
- Quality depends directly on the data quality of the source systems
What does reporting include?
Reporting is more than printing out a list. A complete reporting system consists of sourcing data from the source systems, preparing it (filtering, grouping, calculating key figures), presenting it in tables, charts or dashboards, and distributing it to recipients. Above all this sits the substantive definition: what does each key figure mean, how is it calculated and against which target value is it compared?
Standard reporting and ad-hoc reporting
Standard reporting comprises recurring reports with a fixed structure and fixed rhythm – such as the monthly revenue report, the weekly stock overview or the daily open-items list. They are defined once and generated automatically. Ad-hoc reporting, by contrast, answers one-off, often urgent questions: why has the return rate risen in one region? Such analyses are created at short notice and, in modern systems, can increasingly be produced by the business department itself in self-service, without involving IT.
Operational, tactical and strategic reporting
Depending on the recipient and time horizon, three levels are distinguished. Operational reporting steers day-to-day business (delivery backlogs, picking performance) and works with a high level of detail. Tactical reporting is aimed at middle management and consolidates to a monthly or quarterly view (contribution margins per customer group). Strategic reporting provides management with highly aggregated key figures over longer periods as a basis for investment and product range decisions.
How does reporting work?
It always starts with the question of the data source. Reports either access the operational database of the ERP system directly or a separate analysis layer such as a data warehouse, into which the data is loaded and harmonised via an ETL pipeline. Direct access delivers up-to-the-day figures but puts load on the production system; the separate layer decouples reporting from day-to-day operations and allows complex analyses across large data volumes.
Key figures are then calculated from the raw data, grouped by dimensions such as time, region, product group or customer, and enriched with comparison values (prior year, plan, budget). The presentation ranges from the classic table through charts to the interactive dashboard, in which key figures can be filtered and broken down to the level of individual documents (drill-down). Reports are delivered scheduled by email, as a PDF export or as a view available on demand in the system. Crucial for acceptance is that definitions are unambiguous and consistent across all reports – otherwise several “truths” about the same key figure circulate within the company.
Why reporting matters
Without reliable reporting, a company steers blind. Only a regular look at revenue, margin, stock, liquidity and process performance makes deviations visible early and creates time to take corrective action. Reporting is therefore the backbone of controlling: it connects planning (target) with the actual course of events (actual) and makes target attainment verifiable.
The benefit is both operational and cultural. Operationally, automated reporting replaces the laborious copying together of figures from several sources and reduces errors. Culturally, it creates a shared factual basis: when sales, purchasing and finance look at the same, consistently defined key figures, the discussion shifts from “which figure is correct?” to “what do we do with it?”. Not least, certain reports are required by law – for example as part of the annual financial statements or tax filings.
Reporting in the ERP system
The ERP system is the natural data source for a large part of reporting, because orders, invoices, stock, postings and master data already converge here centrally. Modern ERP systems ship with standard reports for sales, purchasing, warehouse and finance and offer tools that let you click together your own analyses without programming. Key figures such as inventory turnover, order lead time or contribution margin arise directly from the transactional data of ongoing processes.
Limits appear when analyses have to combine several systems – such as ERP, shop and marketplaces – or when large data volumes and complex analyses overload the production system. The ERP is then connected via interfaces to a BI platform or a data warehouse that serves as the central analysis layer. Regardless of the tool, one thing holds: the value of every report stands or falls with data quality. Missing cost centres, inconsistent product groups or duplicates in the customer master lead to wrong figures – reporting exposes data flaws mercilessly.
Reporting vs. business intelligence and analytics
Reporting, business intelligence and analytics are often used synonymously but denote different levels of maturity. Reporting in the narrow sense is descriptive: it shows what has happened – last month’s revenue, the current stock. It answers the question “what?”.
Business intelligence is the overarching framework of processes, technologies and tools that bundles reporting, dashboards, OLAP analyses and data warehousing and allows users to explore data interactively themselves. Analytics goes a step further and asks about the “why?” (diagnostic) and the “what will happen?” (predictive, using statistical models and forecasts). Reporting is therefore the base level: indispensable, but not the end of the road. In practice the boundaries blur, because many BI tools combine reporting and analysis in a single interface.
Reporting in DACH mid-sized businesses
In German-speaking mid-sized businesses, reporting is often still spreadsheet-driven: figures are exported from the ERP and prepared in a spreadsheet application. This is flexible but error-prone, hard to trace and time-consuming. The trend is clearly towards system-supported, automated reporting with defined key figures and rolling updates – not least because skilled staff for manual analyses are in short supply.
A DACH particularity is the close interlocking with accounting and tax requirements. Reports that serve as a basis for financial accounting or reflect postings are subject to the GoBD and therefore to traceability, immutability and retention obligations. Anyone reporting financial key figures must ensure that every figure can be traced back to the individual accounting entry. Reporting here does not operate in a legal vacuum but must connect to the books in an audit-proof way.
Example
From spreadsheet chaos to an automated sales report
A mid-sized B2B distributor used to analyse its revenue manually: at the start of each month an employee exported the order data from the ERP, copied it into a spreadsheet, assigned items to product groups by hand and built charts. The finished report was never available before the tenth working day – and regularly contained copy-paste errors.
After switching to system-supported reporting, the revenue report is available up-to-date in the dashboard every morning at seven: revenue and contribution margin per channel, product group and customer segment, each compared with prior year and plan, with drill-down to the individual document. Management now spots shifts in demand within days instead of weeks, and the freed-up working time flows into interpreting the figures rather than gathering them.
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