Maximizing Data Utility by Ensuring Trust in the Data
TDWI Speaker: David Loshin, President of Knowledge Integrity
Date: Thursday, September 17, 2020
Time: 9:00 a.m. PT, 12:00 p.m. ET
Organizations are rapidly undergoing a foundational shift in the perceived value of information as senior leaders recognize a need to become data-driven. Modernization efforts embrace the adoption of new technologies for high performance, scalability, and advanced analytics to streamline existing operations, inspire modernized approaches to business execution, and help identify new business opportunities. These efforts are fundamentally dependent on data, which is a resource that retains its value after use and even increases in value the more it is used.
In today’s dynamic environment, data can be used in numerous ways to support operational and analytics activities at different times and in different ways. This suggests a need to refocus our attention on a concept of “data utility.” Data utility can be considered a measure that reflects a combination of data’s usefulness, its contribution to organizational profitability, and its ability to benefit the organization, going beyond traditional perceptions of data quality.
In this webinar, we consider a holistic approach that blends social and technological methods for assessing data utility and asserting a level of data trust.
Attendees will learn about:
- Differentiating data utility from data quality
- Understanding the place of data utility in supporting business innovation
- How collaboration contributes to overall data utility
- Automation that supports establishing a data trust score
- Providing transparency and traceability
Gray Hardell, Senior Manager, Solutions Marketing
Gray focuses on emerging technologies and market demand at Talend. Gray has over six years of enterprise data experience - spanning from data center architecture, data processing, and analytics.