Part 3 of 6: Ensuring Data Quality in the Modern Data Ecosystem
In this webinar, the third in the series on data management and governance, we will discuss Data Quality, its role in an overall data management strategy and the potential impact on business decisions or lost opportunity.
Data Quality is often an overlooked area of enterprise data management and governance. However, for an organization to evolve through the data maturity layers, it is a critical part. Modern ecosystems such as data lakes make it easier to quickly ingest data. This data is often not well quality checked and can lead to poor business decisions based on the data. Users can then lose trust in the data. Once that trust is lost, it is difficult to re-establish. In this webinar, we will discuss challenges such as these and describe how Caserta can help guide an organization through this and avoid these pitfalls.
You will learn:
- Why Data Quality is Critical
- Why Data Quality is an on-going process and systems to automate this
- Poor Data Quality = Poor Business Decisions
- Data Quality in Data Lake requires extra diligence
Watch full video:
Principal Solution Data Architect
Experienced data analytics and integration professional across multiple industries in enterprise analytics and big data cloud implementation including migrations from legacy on-prem systems to cloud solutions. 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).
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.