Data Digest: Data Quality, ETL Failure, Digital Transformation

How to more effectively judge data quality, handle issues with ETL, and manage digital transformation for your enterprise.

Don't assume that data quality means reaching perfection; consider whether your data is suitable for your purposes.

Tracking and testing the causes of ETL failure can help you recover faster.

Many businesses fail when they attempt a formal digital transformation process. How can you avoid the pitfalls and be successful?

Realizing ROI with Trusted AI

Join us to hear James Kobielus, TDWI senior research director for data management, explore the ROI of AI in diverse business scenarios and the need to build trust and governance into AI applications. 04/18/2024
Expert Panel: Improving Data Quality, Accuracy, and Consistency

On April 22, join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of the current state of data quality management practices in enterprises and emerging new organizational structures, practices, platforms, and tools. 04/22/2024
Leveraging Analytics, AI, and Lakehouses for Enhanced Customer Experiences

Join TDWI’s VP of Research Fern Halper and experts from Databricks and Braze as they discuss the future of customer engagement. 04/23/2024

TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing