Strategy6-8 weeks • Hybrid • 2-3 data strategy experts + 2-3 staff from IT/business units

Make your data AI-ready: systematically and sustainably

Transform data chaos into structured capital for successful AI initiatives.

Data is the new oil, but only if it's clean, accessible, and strategically utilized.

Haris Yalcinkaya

Your Consultant

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

About this consulting

Data is the new oil, but only if it's clean, accessible, and strategically utilized. Many AI projects fail not because of technology, but due to poor data quality, lacking governance, or inadequate infrastructure. Without a well-thought-out data strategy, even the best AI algorithms remain ineffective. Ziya's Data Strategy & AI Readiness consulting lays the foundation for your AI success. The consultants analyze your data landscape, identify quality gaps, and develop a comprehensive strategy for data governance, master data management, and analytics infrastructure. This way, your data transforms from a challenge into your greatest competitive advantage.

Objectives

  • Assess current data maturity and AI readiness
  • Develop enterprise-wide data strategy
  • Establish data governance frameworks
  • Optimize data quality and availability
  • Build modern analytics infrastructure

Deliverables

  • Data maturity assessment report
  • Comprehensive data strategy documentation
  • Data governance framework & policies
  • Data quality roadmap with KPIs
  • Master data management concept
  • Analytics platform architecture
  • Data catalog implementation plan
  • ROI calculation for data initiatives

How Ziya works

  • 1Data maturity assessment (CMMI/DCAM)
  • 2Data quality profiling & analysis
  • 3Enterprise data architecture design
  • 4DAMA-DMBOK framework application
  • 5Agile data governance implementation
  • 6Modern data stack evaluation

Consulting Details

Target Audience

CDOs, Data Leaders, IT Architects, Analytics Teams, Business Intelligence Managers, and executives with data responsibility

Format

Hybrid

Duration

6-8 weeks

Team Size

2-3 data strategy experts + 2-3 staff from IT/business units

Prerequisites

  • • Overview of existing data sources
  • • Access to IT and business departments
  • • Readiness for organizational change
  • • Budget for potential infrastructure upgrades

Tools & Methods

  • • Data profiling tools (Informatica, Talend)
  • • Data catalog solutions (Alation, Collibra)
  • • Modern data stack (dbt, Snowflake, Databricks)
  • • Data quality tools (Great Expectations)
  • • Metadata management platforms

Typical Timeline

Month 1Assessment & current state
Month 2Strategy & target state
Month 3Governance & policies
Month 4Architecture & tools
Month 5-6Implementation & pilots

Ready for your AI transformation?

Reach your goals together with Ziya

Expert Consultation

Experienced AI consultants for your project

Fast Implementation

6-8 weeks

Secure & Reliable

Proven methods and best practices

What You Get

Assess current data maturity and AI readiness
Develop enterprise-wide data strategy
Establish data governance frameworks
Optimize data quality and availability
Build modern analytics infrastructure

Free initial consultation • No obligations • 100% confidential

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