Malcolm Chisholm

Successful Definitions for Data Management

All data professionals acknowledge the importance of definitions, but there is very little guidance on how to create them, and what constitutes a good quality definition. While there are tools that can store and manage definitions, the content of definitions presents difficulties to many practitioners Yet without good definitions many practical problems can arise. For instance, it may be uncertain whether a source attribute really is the same as what is expected by a target. Indeed, definitions are especially necessary for source data analysis and data integration.

This webinar examines what definitions consist of and how high quality definitions can be produced. It highlights the fact that definition is as much process as product, and seeks to dispel common myths about definitions that often negatively impact the work of data professionals. These myths include the notions that definitions should be known at the start of a task, and that definitions should be highly abbreviated. The importance of separating the aspects of definitions that are business-centric from the aspects that are data-centric is explained. Particular attention is paid to the use of definitions in the area of data integration.

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Mike Ferguson

Data Standardization and the Business Glossary – The Foundation Stone for Enterprise Data Governance and Business Integration

This session looks at why data standardisation is critical to success in enterprise data governance, enterprise information management (EIM), business intelligence and business process integration. It also highlights why Business Glossary technology is central to making data standardisation possible. Common data definitions are needed in BI systems, Master Data Management, process data flows as well as information and application services to drive consistency of understanding everywhere. However for data standardisation to take root, mass business participation and agreement is needed in creating common definitions. Also IT personnel need to leverage these common definitions to consistently describe data in core systems and infrastructure software. Only one piece of software infrastructure bridges the business/IT gap to provide a common place where that is possible – the business glossary.

This session shows how this technology:

• Allows data to be defined once and socially rated for mass agreement
• Makes it possible to see policies, owners and stewards responsible for managing data
• Provides a place where business and IT personnel can identify what data exists in the enterprise, what it means and where it is used
• Allows common data definitions to potentially be shared across several data management, business intelligence and business integration technologies

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Jan Henderyckx

Information Governance for MDM and Reference data.

This session introduces a practical approach that extends upon the basic definition management and bridges the gap with the content improvement that is badly needed for trusted master data. Managing both the meaning and the representation in a business semantics glossary is a powerful way of implementing this concept. It also explains how to deal with one of the fundamental MDM challenges which is the distinction between the essence of the concept and the functional classification. You will no longer have to struggle with the question if it’s party or supplier and customer.

Managing the business semantics is a core activity to enable business alignment and achieve accurate and trusted information but it’s only an enabler for improved quality of information. The actual content of the master and reference objects will determine if the objective was met. The content governance is therefore an equal contributor to the end result. Solving the representation consistency can only be addressed if there is a clear view on the different semantical views of the master data. Properly addressing the functional classifications is another fundamental building block of MDM.

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Tushar Sinha

Data Governance Best Practices

This webinar highlights the best practice approach for Data Governance by using the joint offering from Collibra and Cognizant. It will describe shortly the details of the offering and will show the different methodologies presented in one solution. This can enable your organization in order to tackle Data Governance issues in a pragmatic fashion.

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