This two-day, in-depth seminar is intended for chief data offices, enterprise architects, data architects, master data management professionals, business professionals, database administrators, data integration developers, and compliance managers who are responsible for management and governance of enterprise data.
The seminar takes a detailed look at the business problems caused by poorly managed data including inconsistent identifiers, data names and policies, poor data quality, poor information protection, and piecemeal project oriented approaches to data integration. It also defines the requirements that need to be met for a company to confidently define, manage and share reference data, master data and transactional data across operational and analytic applications and processes both on-premise and in the cloud.
Having understood the requirements, you will learn what should be in a data management strategy and what you need in terms of people, processes, methodologies, and technologies to bring your data under control. In addition we will look at how to introduce governance into different data management disciplines including data naming, enterprise metadata management, data modelling, data relationship discovery, data profiling, data cleaning, data integration, data service (Data-as-a-service) provisioning, reference data management and master data management.
During the seminar we take an in-depth look at the technologies needed in each of these areas as well as best practice methodologies and processes for data governance and master data management.
This seminar is intended for business and IT professionals responsible for enterprise data governance including metadata management, data integration, data quality, master data management and enterprise content management. It assumes that you have an understanding of basic data management principles as well as at least a high level of understanding of the concepts of data migration, data replication, metadata, data warehousing, data modelling, data cleansing, etc.
Attendees will learn how to set up an enterprise data governance program and to determine what technologies they need for enterprise data governance, data integration and master data management (MDM). In addition they will learn when to use certain technologies over others and methodologies to use for metadata management, data integration, and designing and implementing data governance and MDM solutions.
MODULE 1: AN INTRODUCTION TO ENTERPRISE DATA GOVERNANCE
This session defines what enterprise data governance is and looks at why companies need to invest in provisioning trusted, commonly understood, high quality information services across the enterprise to guarantee consistency. It also looks at why data integration and data management should now be a core competency for any organisation.
MODULE 2: DATA GOVERNANCE METHODOLOGY & TECHNOLOGIES
Having understood strategy, this session looks at methodology for data governance and data management. It also looks at the technologies needed to help apply it to your data to bring it under control. It also looks at how data management platforms provide the foundation in your enterprise architecture to manage information across the enterprise
MODULE 3: DATA STANDARDISATION & THE BUSINESS GLOSSARY
This session looks at the first step in data management – the need for data standardisation. The key to making this happen is to create common data names and definitions for your data to establish a shared business vocabulary (SBV). The SBV should be defined and stored in a business glossary.
MODULE 4: DATA DISCOVERY, DATA QUALITY PROFILING, CLEANSING & INTEGRATION
Having defined your data, this session looks at the next steps in an a data governance methodology, discovering where your data is and how to get it under control
MODULE 5: MASTER DATA MANAGEMENT DESIGN AND IMPLEMENTATION
This session introduces master data management and looks at why businesses are serious about introducing it. It also looks at the components of an MDM and RDM system and the styles of implementation.
MODULE 6: TRANSITIONING TO ENTERPRISE MDM – THE CHANGE MANAGEMENT PROCESS
This session looks at the most difficult job of all – the change management process needed to get to enterprise master data management. It looks at the difficulties involved, what really needs to happen and the process of making it happen.
If you can not participate this course, you can send someone else instead of you. If cancellation is done less than 14 days before the course start, we will charge 50% of the price. In case of no show without any cancellation, we will charge the whole price. Cancellation fee will also be charged in case of illness.