Seminar on data quality and data matching. Join us and learn why it impacts your business, too
Affecto and Informatica hereby invite you to a seminar about data quality and data matching. Learn why it affects your business, how to work with data quality and manage your master data and, not least, how future trends in data matching adapt to various challenges.
Business Advantages of a Data Quality Platform - Thomas Herlin, Affecto
Poor data quality can have significant business impact on a range of business areas such as finance or productivity. Tactical data quality approaches can help amending defects, but to obtain maturity in data management across multiple areas in the enterprise, a data quality platform is required. Thomas Herlin presents steps for working with a data quality platform to improve BI and master data management solutions. We will also discuss business scenarios for measuring and improving data quality from analytical projects, data consolidation, master data management and operational validation in real time.
Informatica Data Quality – a data quality platform - Rune Lindvig, Affecto
Informatica, a leading data integration software vendor, focuses on providing better and more business oriented approaches to work with data quality. Rune Lindvig explains the architecture and capabilities of the Informatica Data Quality platform. Features like real time parsing and matching will also be covered along with support for governance processes such as bad records and duplication.
Data Matching Trends - Henrik Liliendahl Sørensen, Liliendahl Limited
Data matching is a core element in many deployments of data quality tools and master data management solutions. Henrik Liliendahl Sørensen presents future trends in data matching that adapt to the nature of various data quality challenges, e.g. hierarchical data matching, external reference data, big data, multi-channel and multi-domain.
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