DataGenics

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

THE NEXT STEP

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