Security / Governance, Risk & Compliance

Data Governance and Data Quality Management

Specjalistyczne szkolenie z data governance i zarządzania jakością danych, które przygotowuje do budowania zrównoważonych programów zarządzania danymi w organizacji. Program obejmuje frameworki, procesy oraz narzędzia niezbędne do zapewnienia jakości danych, zgodności (compliance) i efektywnego wykorzystania danych. Warsztaty koncentrują się na praktycznej implementacji praktyk data governance i praktycznym doświadczeniu z narzędziami jakości danych. Zajęcia prowadzone są w formie studiów przypadków, warsztatów oceny danych oraz sesji rozwoju ram nadzoru.

Issues

Data Governance and Data Quality ManagementCategory.

Data ethics and responsible data use policies
Data governance in the cloud and multi-cloud data management
Real-time data quality monitoring and management (governance) of streaming data
Data mesh architecture and domain driven data governance
Governance of AI/ML models and responsible AI practices
Data monetization strategies and managing data as an asset
Cross-border data transfers and international data governance
Data governance in mergers and acquisitions
Open data initiatives and management (governance) of external data
Data governance metrics and business value measurement
Change management for data governance adoption
Building data governance communities and data literacy programs

Benefits

- You will master a comprehensive framework for establishing effective data governance programs. - You will gain practical skills in implementing data quality management processes. - You will learn to design organizational structures and roles for sustainable data stewardship. - You will develop competence in regulatory compliance and data privacy management. - You will learn about technology solutions and automation strategies for data governance. - You will gain methodologies for measuring and improving data governance maturity. - You will get the tools to build a business case and ROI justification for investing in data governance

Who is this training for?

- Chief Data Officers and data management leaders

- Data custodians (data stewards) and data owners in various business domains

- Data architects responsible for enterprise data strategy

- Compliance officers dealing with data protection regulations

- Business analysts working with enterprise data resources

- IT managers responsible for data infrastructure and quality

- Risk managers focused on data risks

- Analytics professionals to provide reliable data for applications

Prerequisites

- Experience in data management, analytics or business intelligence
- Basic knowledge of database concepts and data modeling
- Understand the organization's business processes and data flows
- Knowledge of regulatory requirements related to data management
- Experience in project management or process improvement initiatives

Training program

Data Governance — definition, objectives (quality, security, compliance, business value), relationship with Data Management (DAMA-DMBOK)
Governance frameworks — DAMA-DMBOK, DGI (Data Governance Institute), operating model (centralized, federated, hybrid)
Organizational structure — roles and responsibilities (CDO, Data Governance Council, data steward, data owner, data custodian)
Data catalog and metadata management — business glossary, metadata repository, lineage, impact analysis
Data policies — data quality policy, data security policy, retention policy, access policy
Exercises: designing a data governance structure for an organization — roles, councils, policies, operating model

Data quality dimensions — completeness, accuracy, consistency, timeliness, uniqueness, integrity (ISO 8000)
Quality management processes — data profiling, data cleansing, matching and deduplication, quality monitoring
Data quality tools — tool overview (Informatica, Talend, Great Expectations), validation automation
Compliance and regulations — GDPR, sector-specific regulations (finance, healthcare), privacy by design, DPIA
Master Data Management (MDM) — golden record, hierarchies, cross-system integration, MDM hub
Exercises: data quality assessment — profiling, problem identification, improvement plan, quality metrics

Building a business case — ROI of data governance, cost of poor data quality, quick wins
Implementation plan — phases (assessment, design, pilot, rollout), roadmap, domain prioritization, change management
Supporting technologies — data catalog tools, data quality platforms, governance automation, AI in governance
Maturity model — CMMI Data Management Maturity, maturity assessment, benchmarking, goals for next stages
Maintenance and improvement — governance program KPIs, board reporting, audits, continuous improvement
Exercises: building a business case and data governance implementation roadmap with ROI analysis

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Data Governance and Data Quality Management we recommend: |-; |-; |-.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: |-; |-; |-.