Data Analysis1-2 days depending on package • In-person • 5-20 participants

Data Competence Workshop

Create the optimal data foundation for your AI projects

In Ziya's practice-oriented Data Competence Workshop, you will gain a clear overview of the latest approaches and best practices in data strategy.

Haris Yalcinkaya

Workshop Leader

Haris Yalcinkaya

Customers

ebm-papst neo logo
Siemens
accodo Projekt logo
mairec logo
SYNAXON logo
Fachverband Metall Nordrhein-Westfalen logo
ICA Traffic logo
SDZ logo
audalis logo
connexio group logo
Semantic Map logo
DOKOM21 logo

Workshop Overview

Data is the new gold, but only when used correctly. Ziya's Data Competence Workshop provides you with essential knowledge for building a modern data architecture. Together with you, the Ziya team analyzes 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. Ziya's 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 Ziya's practice-oriented Data Competence Workshop, you will gain a clear overview of the latest approaches and best practices in data strategy. You'll see 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

How Ziya works

  • 1Data Maturity Assessment
  • 2Best Practice Workshops
  • 3Hands-on Data Mapping Sessions
  • 4Collaborative Strategy Development
  • 5Use 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

Ziya's Work in Action

Haris Yalcinkaya

Your Expert

Haris Yalcinkaya

M.Sc. Computer Science, TU Dortmund

Founder, Speaker, Senior AI Consultant-Developer

Expertise & Qualifications

  • Master's degree with distinction (1.0) in Computer Science
  • Strategic Consulting
  • Consulting and implementation for more than 10+ medium-sized companies and corporations
  • Master thesis in AI and XR on: Rendering-assisted Deep Learning for Reconstruction of Physically-Consistent Scenes

Workshop packages

Basic

Free
Duration: 30 minutes

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

Premium

On request
Duration: By appointment

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

Individual

On request
Duration: According to project scope

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

Your first step to AI success

Your advisor, Ilirjan Bytyqi

Your contact

Ilirjan Bytyqi, M.Sc.Operations Manager at Ziya GmbH
Email Ziya
info@ziya.de