Data Driven Government Data as the Key to Successful Digital Transformation

Even within the strict framework of data protection, one thing is clear: data is a vital foundation for our society’s digital progress. With the help of data-driven strategies, policymakers and government agencies can make better decisions, implement more targeted measures, and optimize public services to meet needs and, above all, user requirements. The private sector, the research community, and civil society also benefit from the vast trove of data held by the public sector. New insights from the systematic analysis, combination, and evaluation of data enable data-driven business models and service innovations that make all our lives easier.

However: The challenges of implementing data analytics in organizations are manifold. That is why we support data projects from consulting through to operation – all under one roof – in a holistic and practical manner. By defining optimal solutions, identifying obstacles early on, and ensuring a smooth process, our clients benefit as much as possible from the opportunities of digitalization.

No data strategy, no progress

Our data scientists and data engineers use data to provide organizations with clear guidance and drive digital transformation initiatives forward. It all starts with a customized data strategy and a comprehensive analysis of the data ecosystem. This allows us to assess how well an organization’s data governance is established and identify which concepts need updating for optimal data management. After all, coordinated structures and processes form the best foundation for data analytics projects using advanced tools and analytical frameworks. In this way, we deliver valuable insights to our clients through a clear process and with a well-defined vision.

Data platforms

How effectively organizations leverage their data assets depends largely on the data platform they use. These platforms collect, combine, analyze, and visualize data from various sources. They are therefore indispensable for modern software services and AI applications.

A data strategy also requires strong implementation. Data platforms are the key to making better decisions based on data-driven insights and enabling new innovation.

Key challenges along this path include integrating various data sources, ensuring high-performance and scalable connectivity between data platforms and target applications, and guaranteeing high-quality data outputs in accordance with modern IT security standards.

Customized data platforms for every need

We unlock data potential with modular data platforms. Based on requirements, our data scientists and data engineers advise on appropriate solutions and put them into practice.

We are driven by the realization that data platforms require not only technical expertise and operational competence but also domain expertise. We combine both perspectives by first clarifying strategic and organizational issues before we begin the technical design, followed by the concrete implementation of the data platform with extensive testing.

Our Data Analytics team offers you

• Hosting
• Secure operation of the data platform in our BSI-certified data center
• Infrastructure
• Backend & frontend solutions that simplify data integration, visualization, and utilization
• Analysis
• Targeted evaluations as a sound basis for decision-making, as well as training on how to effectively utilize existing data
• Machine learning
• Development of concepts for automation potential, as well as the implementation and integration of these insights into platform workflows

Monitoring and Reporting

The future of administrative digitization is built on data. With expertise in both planning and operations, and a deep understanding of data-driven relationships, our data scientists drive projects forward in the areas of IT consolidation, registry modernization, and OZG 2.0.

Organizations succeed when they manage their structures, processes, and initiatives with strategic foresight. By utilizing targeted data monitoring and reporting, you can allocate resources more effectively, set priorities based on transparent metrics, and steer projects in the optimal direction. Three factors are crucial for maintaining a structured overview of data pools, metrics, and KPIs:

• Linking, analyzing, visualizing, and evaluating data pools with the help of tools. Data scientists can use this as a basis to create forecasts and derive decision-making criteria that make it easier and more effective to achieve organizational goals.
• A data analytics team that efficiently implements and continuously optimizes monitoring and reporting measures.
• High data quality with interfaces between existing data pools, as well as high data compliance.

Quick results with our analytics framework

We implement data projects with a specialized team. Standardized evaluation tools and processes enable us to set up monitoring and reporting tailored to your specific needs in the shortest possible time.

With certifications and process models based on the Project Management Institute (PMI), PMflex project management, the Scaled Agile Framework (SAFe), and Managing Successful Programs (MSP), we ensure a smooth process and useful results from the very beginning.

Our Data Analytics team offers you

• targeted and meaningful metrics
• professional tools for data collection, aggregation, and visualization
• transparent recommendations for action
• enablement for your own monitoring and reporting
• reusable data-driven structures and processes

Data Analytics Made Accessible

A concrete example of the added value that data provides is the Defect Dashboard, which was developed by our partner Disy using the Cadenza data analysis software based on open data from the City of Karlsruhe’s transparency portal.

The comprehensive processing of geodata and the targeted linking of reported defects with other variables – such as population density, public transportation data, or weather data – makes the potential of data visible to all stakeholders involved:

• Local authorities can prioritize and predict processing, thereby resolving defects more efficiently
• Faster resolution of issues motivates citizens to become more actively involved in local affairs
• Open data structures enable researchers and businesses to develop innovative solutions that can further advance the digitalization of public administration

Our Services for Data-Driven Digital Transformation

• Data Consulting: Consulting services throughout the entire project lifecycle – from problem analysis and requirements gathering to data evaluation and interpretation, and the design of data projects.
• Data Analysis: Analysis, modeling, and quality assurance of large datasets – ranging from exploratory analysis to specific evaluations at the technical, domain-specific, and methodological levels.
• Data Engineering: Laying the foundation for data science and data analysis through the collection, processing, structured storage, and provision of relevant data.
• Data Visualization: Accessible visualizations presented in a way that is understandable to target audiences, conveying meaningful insights – from simple tables to more complex representations.
• Data Science: Deriving data-driven recommendations from large volumes of data, identifying patterns, verifying hypotheses, and making predictions.
• Data Governance: Developing frameworks for processes, roles, guidelines, standards, and key performance indicators. This enables the efficient use of information throughout the entire data lifecycle and effectively supports organizations in achieving their goals.