In the fifth part of the special Data Intelligence series on How to Operationalize Data Governance, you will learn about Modern Master Data Techniques. Every enterprise organization holds master data, but many struggle to manage and understand what data they have with great resolution. Master data provides context for both the operational and analytical aspects of an organization’s data. Therefore, managing master data is critical to ensure uniformity, accuracy, and consistency of this data. Certainly there are expensive commercial tools that can help facilitate management of master data, but is there an alternative that allows similar functionality using common cloud platform tools?
One of the important aspects of master data management is the handling of duplicate data. Identifying and matching duplicate records across the enterprise is essential to creating a single view of a business entity (e.g. product, customer, vendor, location, employee, etc.). AWS has robust matching algorithms that utilize machine learning in order to perform match and merge. This webinar will focus on the benefits of leveraging AWS with machine learning to create a master data hub and use cases of how Caserta has facilitated and implemented these solutions.
In this 50 minute webinar you will learn:
Challenges of duplicate records across the organization and how to solve
How to manage and understand what data you have with great resolution
How to leverage machine learning to create a master hub
Dr. Michael Duersch
Senior Data Engineer & Data Scientist
Dr. Michael Duersch is an experienced engineer with a demonstrated history of creating solutions in multiple industries. Skilled in Software Development, Data Engineering, Data Science, and Technology Management. Enjoys helping clients find tailored answers to their specific needs.
Senior Solution Data Architect
Experienced business intelligence professional across multiple industries in enterprise data warehouse/departmental data mart design and big data cloud implementation. Also, migrations from legacy on-prem database systems to cloud solutions. Full life-cycle management and implementation including project planning and scoping, business analysis/requirements gathering, database architecture/design/modeling, cloud architecture, ETL/ELT architecture/development and report design/presentation/analytics.Over 30 years of cross-industry consulting experience in a Solutions Architect and Delivery Management role.Specialties: retail, manufacturing, banking, financial, mortgage, publishing, telecom, marketing analytics, clickstream, mutual funds, hospitality, data management/quality/catalog, metadata management and master data management (MDM)
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