Published: 22 January 2019
Summary
Data virtualization vendors need to capitalize on the surge in use-case requirements of accessing, integrating and analyzing data in place. To do so, technology product managers must develop comprehensive tools with capabilities that link to the top business drivers for adoption of these use cases.
Included in Full Research
- Driver 1: Flexibility in Data Management Architecture
- Heterogeneity in Data Sources
- Heterogeneity in Consuming Applications
- Heterogeneity in Personas
- Heterogeneity in Deployment
- Heterogeneity in Embedded Capabilities
- Driver 2: Facilitating a Bimodal Strategy
- The Ability to Capture, Store and Analyze Active Metadata
- Incorporating Machine Learning/Artificial Intelligence to Automate Parts of the Operationalization Process
- Inhibitor 1: Performance Issues When Dealing With Increasing Data Volumes
- Inhibitor 2: Questionable Reliability and Resilience