Data Competence Workshop
Create the optimal data foundation for your AI projects
In our practice-oriented Data Competence Workshop, you will gain a clear overview of the latest approaches and best practices in data strategy.
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Workshop Overview
Data is the new gold – but only when used correctly. Our Data Competence Workshop provides you with essential knowledge for building a modern data architecture. Together, we analyze your current data landscape and identify weaknesses and optimization potential. You'll learn how to break down data silos, ensure data quality, and build scalable infrastructure. The workshop covers practical topics like data governance, data integration, and preparation for AI applications. Our experts demonstrate proven methods and tools that have succeeded in numerous projects. By the workshop's end, you'll have a clear data strategy and concrete implementation measures. With this foundation, you'll create the prerequisites for data-driven decisions and successful AI projects. Invest in your data competence now and secure a decisive competitive advantage.
Your benefits
What you can expect from this course
Centrally accessible and flexible data usage
Data-driven corporate culture
Efficient analytics and BI solutions
Sustainable data strategy
About this workshop
In our practice-oriented Data Competence Workshop, you will gain a clear overview of the latest approaches and best practices in data strategy. We show you how to master existing challenges in data management and make your data landscape future-proof. Participants learn how data intelligence can be successfully integrated into your organization and how to create the foundation for successful AI projects.
Objectives
- Develop a holistic data strategy
- Build a scalable data architecture
- Establish data governance processes
- Create foundations for successful AI projects
Learning Outcomes
- Understanding of modern data architectures and technologies
- Ability to develop a data strategy
- Knowledge in data governance and data quality management
- Competence to lead data-driven transformation projects
Our methodology
- Data Maturity Assessment
- Best Practice Workshops
- Hands-on Data Mapping Sessions
- Collaborative Strategy Development
- Use case based learning
Deliverables
- Individual data maturity assessment
- Customized data strategy roadmap
- Data governance framework
- Technology stack recommendations
- Quick-win measures for immediate improvements
Workshop Details
Target Audience
Data leaders, IT architects, business analysts, and executives looking to establish a data-driven culture
Format
In-person
Duration
1-2 days depending on package
Group Size
5-20 participants
Prerequisites
- • Overview of current data landscape in the company
- • Basic understanding of data management concepts
- • Willingness to change existing data structures
Agenda
- • Morning: Data Maturity Assessment and Gap Analysis
- • Afternoon: Strategy Development and Roadmap Creation
- • Optional Day 2: Deep Dive into specific topics
Tools & Methods
- • Data Maturity Assessment Framework
- • Architecture Design Templates
- • Data Governance Toolkit
- • Analytics Platform Demos
Our packages
Initial Consultation
Free 30-minute initial consultation
Contents:
- Analysis of your current data situation
- Discussion of individual challenges
- Definition of next steps
- Non-binding assessment of potentials
Your result:
- Initial assessment of your data situation
- Concrete next steps
- Potential analysis
- Action recommendations
Data Competence Workshop
Comprehensive workshop on data competence
Contents:
- Conducting a workshop on data competence
- Identification of specific challenges
- Development of a strategic guideline
- Best practices for data management
Your result:
- Strategic guideline
- Identified fields of action
- Concrete optimization proposals
- Prioritized list of measures
Workshop + Implementation
Workshop with complete implementation
Contents:
- Conducting a data competence workshop
- Detailed inventory of the current state
- Definition of the target state
- Development of architecture recommendations
- Creation of an implementation roadmap
- Implementation of measures
Your result:
- Complete implementation
- Optimized data architecture
- Trained employees
- Established data processes
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