How to Master Your Cloud Data: Best Practices for Success
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, January 20, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
Webinar Abstract
Companies want to grow their data and analytics programs and become more modern and mature—this is part of their digital transformation strategy. At TDWI, we see organizations accelerating parts of this strategy, such as moving to the cloud for data management and advancing their analytics, as they venture into the “new” normal.
As companies transform, they often need to handle dozens or hundreds of siloed data sources. They are also looking to enrich their data with external sources. According to TDWI research, however, the majority of organizations are either on the fence or dissatisfied with the quality of their data. Data quality is critical to getting the most value from both new and existing data as well as building trust in that data. Mastering large amounts of data in the cloud will be critical for succeeding in digital transformation.
The good news is that there are solutions that can help. For instance, TDWI sees growing interest in both automated and augmented solutions. Here, machine learning and other advanced technologies are embedded into the software to help the system learn various patterns—such as potential anomalies in the data. With human guidance, these tools can help organizations identify data quality issues, identify sensitive data, map data, and provide a host of other functions to help build confidence and trust in large amounts of diverse data.
What does it take to master your data? Join TDWI’s VP of research, Fern Halper, in an interview with Anthony Deighton, Tamr’s chief product officer, about best practices for success.
You will learn about:
- Digital transformation and the cloud
- Data challenges that are propelling cloud migrations
- How cloud-native automated solutions can help
- Best practices for mastering data and utilizing it as an asset
Fern Halper, Ph.D.