Data management model - You will learn how to structure Data Management, Data Governance, MDM and Data Quality so you can design a coherent data operating model that fits your organization and its decision-making needs.
Roles and accountability - You will understand how to split responsibilities between Data Owners, Data Stewards and IT, reducing decision chaos, speeding up execution and improving cooperation between business and technology.
Data quality improvement - You will learn how to assess completeness, accuracy, consistency and timeliness, and how to use profiling, cleansing and monitoring to remove root causes of recurring data issues faster.
Effective MDM - You will explore how to build a Golden Record and Single Source of Truth, making it easier to remove duplicates, organize master data and synchronize critical information across systems.
Better data documentation - You will learn how to create data dictionaries, catalogs and lineage, so you can find trusted sources faster, understand where data comes from and assess the impact of changes on reports.
Security and compliance - You will gain a practical approach to information classification, access control, retention and GDPR, helping you protect data better and prepare your organization for audits and compliance demands.
Modern data architecture - You will organize your understanding of warehouses, data lakes, lakehouses, ETL, ELT and platforms such as Snowflake, Databricks and Fabric, so you can match solutions to business needs.
AI-ready data - You will understand how to prepare data for analytics and AI, manage model-related risks and decide where to automate classification and quality control to scale AI initiatives safely.
Basic data literacy - You should understand what data, reports and information sources mean in a company so you can comfortably work with examples related to data quality, catalogs and system integration.
Business process awareness - You should know core organizational processes such as sales, customer service or finance so you can connect governance and MDM topics to realistic business situations more easily.
General IT systems awareness - You should have a basic understanding of enterprise systems and data flows between applications so you can better follow topics related to integration, architecture and data ownership.
Readiness for workshop work - You should be ready to analyze cases, map processes and discuss data issues from your organization, because the training includes practical exercises and solution design work.
