Establishing Data Science

In order to support you in the long-term establishment of data science in your company, we offer tailor-made services for the individual phases of introduction. To get everything right straight from the beginning, we start out with strategic planning. Additionally, we offer trainings in which we teach necessary basics to data science teams or decision-makers.

Our consultants can train your team in close collaboration during knowledge transfer projects to allow for a sustainable establishment of data science. Furthermore, we can back our consultation services with project-specific software development. Even beyond the duration of the project, we provide quick assistance with our expert support.

To make this process as successful as possible, we have developed the Standard Process for Establishing Data Science (SPEDS). In 7 steps we address the organizational success factors for your fruitful start with Data Science.

Standard Process for Establishing Data Science (SPEDS)

1. Finding Ambassadors

Data science ambassadors are trained to act as a link between the world of data science and the organization.

2. Data Science for Management

Impulse Workshops provide an overview of the possibilities of Data Science and help to realistically assess the potential benefit as well as prerequisites.

3. Data Science for Departments

Domain experts and departments learn the basis of data science in order to identify use cases for their area and have a good basis for communication.

4. Data Science for Individuals

Stakeholder workshops integrate individual concerns and ideas into the project. Commitment and acceptance are the key for adoption of project results.

5. Lighthouse projects

Lighthouse projects spread motivation and awareness for the new possibilities throughout the organization.

6. Penetration

Using the momentum created by the lighthouse projects, new use cases are identified. Understanding of Data Science and its capabilities grows within the organization.  

7. Building Data Science Team

Through knowledge-transfer projects a new team will be built within the organization to carry out future projects independently.

Download here the overview of the 7 steps of SPEDS.

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Module 1: Strategic Planning

  • Bridging the knowledge gap
  • Identifying areas of application
  • Finding the ideal placing within the company
Strategische Beratung

Module 2: Training

  • Establishing the right mind set and build basic knowledge
  • Fostering in-house expertise
  • Learning a common language for machine learning
Schulungen

Module 3: Knowledge Transfer Projects

  • Collaborative data science project work
  • Profiting from tried and tested best practices
  • Learning to distinguish between infrastructure and methods
  • Building a data science team in your company
Knowledge Transfer Projekte

Module 4: Custom Development

  • Avoid breaking the tool chain
  • Specific solutions for specfic situations
  • Enhancing efficiency in maintenance and development
Projektspezifische Entwicklung

Module 5: Expert Support

  • Fast support for complex issues
  • Access to knowledge base
Experten Support