EXPERTISE & EXPERIENCE
Services & projects
From architecture decisions to rollout: we support complex IT initiatives throughout every project phase.
About our projects
At DataGenics, we support our clients in delivering complex IT projects, drawing on extensive experience in consulting, management, architecture, migration, quality assurance and rollout. Our consulting services cover IT transformations, the selection of suitable technologies and the development of sound business architectures. Our project management creates clear structures and enables smooth collaboration between all parties involved.
We design scalable, reliable system landscapes tailored to our clients’ needs. We have delivered numerous migration projects. Quality assurance is central to our work: risk-based testing ensures that new systems operate reliably and efficiently. When rolling out new solutions, we focus on precise planning and close coordination with our clients to make the introduction as smooth as possible.
Our goal is to use our knowledge and commitment to help our clients deliver successful projects.
Our services
These pages provide an overview of our products and services, which we update regularly. If you cannot find what you are looking for, please contact us. We will be happy to discuss your needs personally.
Consulting
Planning, managing and delivering complex IT projects and architectures with a focus on efficiency and quality
Connecting business requirements with technology solutions
Analysing client needs, facilitating dialogue between stakeholders and coordinating external partners.
Management
Organising and delivering every phase of the software development lifecycle to build and operate business-critical IT systems
Communicating and presenting IT concepts to align business and IT and support architectural decisions
Architecture
Architecture for business support systems, business intelligence systems and the transformation of IT landscapes
Conducting architecture reviews and developing recommendations to maintain, optimise or transform existing systems
Migration
Analysing the existing data landscape, assessing data quality and defining target system requirements
Designing the migration strategy, mapping source and target data, selecting suitable tools and planning transformations
Managing projects, coordinating teams, communicating regularly with stakeholders and ensuring data quality
Data cleansing, trial migrations, production migration and subsequent validation to ensure complete and accurate data
Quality assurance
Defining quality criteria, objectives and responsibilities
Identifying potential risks
Developing a test strategy, compiling requirements, deriving acceptance criteria, creating test cases, organising test plans and managing execution at each test level
Setting up the required test environments for system, integration, migration, load and performance, and acceptance testing
Final end-to-end tests and monitoring after go-live
Rollout
Capturing the technical and organisational requirements for the rollout
Preparing a rollout playbook involving all affected people and organisations
Managing rollout execution with continuous status monitoring
Handing over to operations, resolving outstanding issues and capturing lessons for future projects
Selected project references
Information architecture / Data management
- Design of the information architecture for a new enterprise data warehouse, enabling integration across business areas
- Transformation aimed at replacing multiple legacy data warehouses in the cloud
- Streaming strategy for delivering very large data volumes with minimal latency, enabling immediate feedback into operational business processes
- Data modelling according to Data Vault 2.0 and implementation using data warehouse automation tools
- Establishment of design guidelines and explicit architecture and design decisions involving all relevant stakeholders
System architecture / Data warehouse
- Architecture audit of existing systems
- Definition of functional and non-functional requirements for the target system
- Particular consideration of information security policies, the German Federal Data Protection Act and industry-specific requirements
- Definition of the target architecture based on the arc42 architecture documentation approach
- Product evaluations for data integration, data management, business intelligence and data mining, considering storage and analysis requirements for very large data volumes
- Quality management of implementation
- Coordination of implementation providers and development of engineering and design guidelines
Project management for data migrations
- Development of the migration and quality assurance strategy
- System analysis and design as prerequisites for implementation
- Coordination of implementation
- Rollout management
Project management for CRM implementations
- Project initiation
- Establishment of the project organisation
- Introduction of the implementation methodology
- Stakeholder management
Enterprise architecture
- Analysis, design and planning of IT transformation for specific functional domains
- Development of solution hypotheses, architecture concepts and business cases
- Planning of the migration path
- Preparation of project plans
- Advising programme and project management
- IT architecture support for implementation providers
Business architecture
- Introduction of business architecture and initiation of a dedicated business architecture organisation to develop and operationalise an instrument for steering IT development