Data Quality issues cost businesses millions of dollars each year in both lost revenue and direct or indirect costs associated with Data Quality processes. Optimizing and improving the efficiency of your overall Data Quality process makes organizations not only more competitive but allows them to comply with regulations, reduce the risk of losing customer reputation, and reduce but especially do more with existing Data Quality budgets. In this session, we are focusing on how data lineage helps you save money on manual labor by automating data lineage discovery, how to keep your data pipeline healthy by preventing data incidents, and how to migrate painlessly to the cloud.
Senior Vice President of Products, MANTA
Ernie is SVP of products at MANTA, focusing on solutions for lineage and metadata integration. He has over 30 years of experience in the data integration space, including 20-plus years at IBM, working in a variety of roles with responsibilities in product management and technical sales support. For most of the past decade, Ernie has been providing guidance in information governance and helping architect custom lineage solutions. Earlier in his career, Ernie was building decision support systems with fourth-generation languages and data access middleware. Ernie maintains a blog on open metadata, data lineage, and overall metadata management and governance. He is a graduate of Boston College.
While not pursuing MANTA initiatives, working on his blog, or spending time with family, Ernie enjoys woodturning and motorcycles.