Data Dashboard with Subsidy, Up to 50% Back

Building a custom data dashboard qualifies for multiple subsidies. The WBSO provides 36-50% back on development hours for technically innovative dashboard development. The MIT feasibility study offers up to €20,000 for researching which dashboard approach fits your business.

For smaller first steps, Mijn Digitale Zaak provides €2,500 for a basic dashboard or data audit. These subsidies can be used in sequence: start small, prove the value, then scale up with larger subsidies.

Stratalytic builds various types of dashboards: operational dashboards for real-time monitoring of business processes, strategic dashboards for management decisions, financial dashboards for revenue and cost analysis, and predictive dashboards that forecast trends and demand.

We work with Power BI, Looker Studio, custom React applications, and Streamlit. The choice depends on your needs: Power BI is ideal for users already in the Microsoft ecosystem, while custom dashboards offer more flexibility for specific use cases.

Retail: A retail dashboard visualizes sales performance across locations and channels, tracks inventory levels in real time to prevent stock-outs, and maps customer behavior from purchase history to basket composition. This gives store managers and buyers the insights they need to optimize assortment and pricing on a daily basis.

Logistics: Logistics companies use dashboards for route optimization based on live traffic and delivery windows, real-time delivery tracking for dispatchers and customer service, and fleet management covering vehicle utilization, maintenance schedules, and fuel consumption. The result is lower costs per delivery and higher on-time performance.

Manufacturing: Production dashboards monitor efficiency metrics such as OEE (Overall Equipment Effectiveness), quality control pass rates per production line, and maintenance planning based on sensor data and historical downtime patterns. Manufacturers gain a single overview of their entire shop floor and can act before problems escalate.

Healthcare: Healthcare dashboards focus on patient flow through departments, capacity planning for beds, staff, and equipment, and KPI monitoring for care quality indicators and waiting times. This enables data-driven decision-making without adding administrative burden to care professionals.

Step 1, Data audit: We start by mapping all relevant data sources within your organization and assessing their quality, completeness, and accessibility. This audit reveals what is available, what needs cleaning, and where gaps exist. Step 2, Architecture design: Based on the audit we select the right tooling, Power BI for Microsoft-heavy environments, a custom React stack for maximum flexibility, or a hybrid approach. We design the data model and define how sources connect.

Step 3, ETL pipeline: We build automated data connections and transformations that extract data from source systems, transform it into a consistent format, and load it into the dashboard layer. This pipeline runs on a schedule or in real time, depending on your requirements. Step 4, Dashboard design: Interactive visualizations are built with a focus on usability. We design clear navigation, drill-down capabilities, filters, and role-based views so every user sees exactly what they need.

Step 5, Testing & deployment: The dashboard goes through user acceptance testing with your team, followed by training sessions and documentation. We iterate based on feedback until every stakeholder is confident. All five steps represent WBSO-eligible development work, from the initial data audit through to the final deployment and training phase.

The key criterion is technical innovation for your company. If you don't have a data dashboard yet, building one with custom data connections, automated ETL pipelines, or advanced visualizations already qualifies. The innovation lies in the unique combination of data sources and the technical challenge of connecting them.

Standard off-the-shelf BI configurations don't qualify, but as soon as you add custom data engineering, API integrations, or AI-powered analytics, the project becomes eligible for WBSO.

Specific technical components that strengthen a subsidy application include: ETL pipelines that automate data extraction and transformation, API integrations with external systems and SaaS platforms, custom data models tailored to your business logic, real-time data streaming for operational dashboards, user authentication and role-based access control, and automated reporting with scheduled PDF or email delivery. The more of these elements your project contains, the stronger the technical innovation case for the WBSO.

Basic dashboard: connect 2-3 data sources, 5-10 KPI visualizations, with WBSO returning 36-50% of development hours. Advanced dashboard: multiple data sources, real-time updates, custom visualizations, automated reports, with WBSO plus MIT feasibility funding.

Enterprise BI platform: full data warehouse, multiple dashboards, user management, AI-powered insights, with WBSO and MIT combined. We set the exact price after the feasibility study, and Stratalytic provides exact subsidy calculations based on your situation.