Data Intelligence

KPI Dashboards, Predictive Analytics, and Anomaly Detection

The data is available, yet departments are still waiting for reports; Excel reporting quickly becomes outdated, and AI remains in the pilot phase.

With the Data Intelligence Solution, we turn quality-assured data products into actionable insights: role-based KPI dashboards, predictive analytics, self-service with AI-powered data querying (“Ask your Data”), and anomaly detection. Teams make data-driven decisions and automate recurring analyses.

From consulting to implementation, we support companies through every step—from assessment and proof of value to production-ready dashboards and AI in routine operations. Getting started is technology-agnostic and can be planned using fixed-price packages.
 

• Faster Insights:
  Reduce time-to-insight with self-service and preconfigured dashboards
• Automate reporting:
  Automatically update recurring reports from source systems and data products
• AI in Everyday Use:
  Put anomaly detection, reliable predictions, and recommendations into operation

Many organizations already have reporting solutions. Nevertheless, business units are often unable to answer their own business questions: They lack an integrated, usable database with data products on which they can easily and independently build use cases. Without this access, decision-making remains slow, and automation fails to become part of everyday operations.
 

Typical signs:

• Departments without easy access to approved, understandable data products
• Ad hoc analyses that end up in a backlog of tickets with the BI and analytics team, taking up processing time
• Reporting solutions that display key metrics but don’t provide quick answers to new business questions

• Use cases that fail due to usability and database integration issues rather than the business concept
• Dashboards without self-service, AI-powered data querying (“Ask Your Data”), or role-specific views
• Models and predictions that remain stuck in the pilot phase and do not lead to decisions or automation

Data Intelligence fills exactly this gap: providing simple, user-friendly access to data products so that teams can make effective and efficient decisions and automate courses of action. If the integrated foundation is still missing, we build on the Data Lakehouse or start there.

The key question is: How can business units gain actionable access to data products so they can make data-driven decisions and take action?

Data products are transformed into decisions and recommendations for action

The Data Intelligence Solution is the second building block. It builds on the data products of the Data Lakehouse and provides easy access to concrete insights.

Three areas are intertwined: reporting, analytics and data-driven AI.

We select and combine existing BI and AI components to fit your tech stack. The insight layer remains tightly integrated with the data platform: lineage and quality extend all the way to the dashboard, ensuring that requirements under the EU AI Act and data protection regulations remain manageable.
We provide the basis for decision-making and automatable decision-making logic.

If the scope is clearly defined, we can deliver a Proof of Value in about 4 to 6 weeks. The Data Readiness Check, which takes about 15 minutes, is a good place to start. The Data Assessment  is available to help identify use cases and potential.

Here's exactly what you'll win:

• Dashboards in use:
  role-based dashboards with shared definitions

• Automate reporting:
  Automatically update recurring reports

• Self-Service:
  including AI-powered data querying (Ask your Data) on shared data products

• Anomaly detection and reliable predictions:
  Early warnings, forecasts, and recommendations for action during routine operations

We start with the business questions: What KPIs and target audiences do we need, and which use cases offer the clearest benefits? We assess the maturity level of your data products. In the Proof of Value phase, given a clear scope, we’ll deliver a functional dashboard, analytics model, or validated forecast—including a benefit assessment to support the decision to scale—in about 4 to 6 weeks.

The implementation includes production-ready dashboards, reporting pipelines from data products to consumers, self-service configuration, and—where applicable—operationalized AI, including MLOps. Enablement ensures that business units and analytics teams adopt the solutions in their day-to-day work.

We take a technology-agnostic approach and work with established BI tools, among other solutions. Where appropriate, we also build dashboards that are fully customized to your processes and key metrics:

• Automated Business Reporting:
  Management dashboards and recurring reports whose key metrics are automatically updated from source systems and data products.
• Role-Based Dashboards:
  Quality, Service, or Sales teams view their own key performance indicators in tailored views.
• Self-Service and AI-Powered Data Querying (Ask Your Data):
  Business units answer ad hoc questions themselves, reducing the workload on data engineering for routine inquiries.
• Monetization Insights:
  Make usage and upsell visible to inform monetization strategies.

• Reliable Predictions:
  Forecasts for maintenance, demand, or revenue—from validation in the proof of value phase through to routine operations.
• BI Modernization:
  Restructuring or cloud migration of legacy dashboard landscapes when performance and maintainability suffer.
• Monitoring and Anomaly Detection:
  Digital services and assets are continuously monitored; deviations trigger action before significant damage occurs.