Data Growth Scan
Take the Data Growth Scan and uncover improvement opportunities
Go to the scanOut-of-the-box BI apps, no complex IT project
We don't believe in complex IT projects with unpredictable costs and long lead times. That's why we build ready-to-use BI apps for every business process, following a clear structure: dashboards, data discovery, advanced analytics, and BI self-service.
The InsightData concept doesn't start from an empty BI platform, but from apps that consolidate data from your existing systems and translate it into dashboards, analyses, and management information. This way, every team quickly gains insight into what's happening, why it's happening, and where adjustments are needed.
InsightData combines four layers of business intelligence: dashboards for an overview, data discovery for analysis, advanced analytics for deeper insights, and BI self-service for business users who want to work with data themselves. The model is designed for SMEs that want to make quicker decisions based on existing business data without a large internal BI team or a lengthy custom development process.
All management reports, KPIs, and overviews at a glance.
Quickly find answers to in-depth questions about your data.
Understand trends, anomalies, and the story behind the numbers.
Perform ad-hoc analyses yourself without relying on IT.
The InsightData concept is built around three basic rules.
As a result, business intelligence is not limited to reporting. It becomes a way to quickly understand where deviations occur and what action is needed.
ERP, CRM, accounting, HR, TMS, Excel, databases, and cloud storage.
Connections, data model, quality control, and business logic.
Finance, Sales, Pipeline, Project, Operations, Transport, Supply Chain, Production, and HR.
Dashboards, data discovery, advanced analytics, and BI self-service.
Margin, cash flow, growth, projects, inventory, capacity, and customer value.
Dashboards show at a glance how your business is performing. Think of revenue, margin, cash flow, outstanding items, project profitability, inventory, transport costs, or sales pipeline.
InsightData dashboards are pre-built around recognizable business processes, so you don't have to start from a blank reporting screen.
Data discovery helps teams drill down from a KPI to the underlying cause. If margins decline, you want to be able to see if it's due to customer mix, pricing agreements, product groups, projects, suppliers, transport costs, or operational deviations. InsightData enables this analysis based on linked business data, without the need to build a new report every time.
Advanced analytics goes beyond looking back. You use historical and current data to identify trends, exceptions, risks, and opportunities more quickly. For an SME, this doesn't mean you need your own data science team. It means you receive better signals for cash flow, margin, projects, operations, and growth.
BI self-service empowers business users to find answers within reliable datasets themselves. Finance, sales, operations, and management work with the same figures, but each can zoom in on their specific questions. This shifts reporting from waiting for data to making faster decisions with data, without everyone creating their own definitions or report versions.
Business domain
What the concept helps answer
Finance: Where are cash flow pressures or margin declines occurring?
Dashboards provide an overview of cash flow, margin, and outstanding items.
Through data discovery, finance can drill down into customers, cost centers, suppliers, or periods causing the deviation.
Sales: Which customers, products, or regions are pulling down growth or margin?
Data discovery reveals where revenue is growing, where margin is disappearing, and which customers or product groups require attention.
Advanced analytics helps to more quickly identify trends, deviations, and commercial risks.
Sales pipeline: Which opportunities have the highest success rate or the greatest delay?
Dashboards show the status of the pipeline.
Advanced analytics helps to better assess delays, conversion opportunities, and forecast risks.
Projects: Which projects are deviating from budget, hours, or margin?
Dashboards show which projects are deviating.
Data discovery helps identify the root cause, for example, in hours, materials, planning, post-calculation, or margin.
Operations: Where are the bottlenecks in processes, inventory, or capacity?
Data discovery uncovers bottlenecks in processes, inventory, and capacity.
Advanced analytics helps identify deviations and structural patterns more quickly. Dashboards show which projects are deviating.
Transport: Which trips, customers, or routes are impacting profitability?
Dashboards show profitability per trip, customer, or route.
Data discovery clarifies where and how costs, empty mileage, waiting times, or customer appointments affect profitability.
A dashboard shows what is happening. Business intelligence also helps explain why it's happening, what patterns are behind it, and what decision is needed.
Self-service BI means that business users can ask questions, use filters, and create analyses themselves within a reliable data model.
For SMEs, advanced analytics often starts with better trend analysis, anomaly detection, scenario insights, and timely signals.
InsightData leverages existing systems. The aim is not to replace operational software, but to make the data within it actionable for decision-making.
The process of transforming business data into insights for better decisions.
A visual overview of key KPIs, trends, and deviations.
A metric that shows how a process, team, or objective performs.
Interactive analysis where you investigate the underlying causes behind the numbers.
Analytical methods that reveal trends, anomalies, scenarios, or forecasts.
An approach where business users can explore reliable data themselves.
The structured translation of raw data into actionable business logic.
Data from systems such as ERP, CRM, accounting, HR, TMS, or spreadsheets.