Top 5 capabilities to streamline data sharing and accelerate data-driven outcomes
On-demand webinar:
When done right, organization-wide data sharing can significantly boost the success of your data and analytics initiatives. However, traditional approaches to requesting and gaining access to data are riddled with inefficiencies. Data providers find it challenging to handle large volumes of data requests - it often takes days or weeks to fetch and provide data in the shape and quality expected by data consumers. All of this can impede value realization from analytics and AI.
In this webinar, we will discuss how organizations can accelerate data-driven outcomes by taking advantage of modern data sharing solutions such as IBM Data Product Hub to:
- Easily discover and access curated data products through an internal data marketplace
- Reduce silos by sharing data products sourced from disparate source systems
- Manage data-as-a-product across its lifecycle from onboarding to retirement
- Embed governance to ensure that data is shared and used in a compliant manner
- Minimize effort duplication by packaging and sharing reusable data products
Speakers:
- Spurthi Kommajosula , Product Manager, IBM Data Product Hub
- Matthew Free , IBM Data Fabric Americas Sales Leader
Top 5 capabilities to streamline data sharing and accelerate data-driven outcomes
On-demand webinar:
When done right, organization-wide data sharing can significantly boost the success of your data and analytics initiatives. However, traditional approaches to requesting and gaining access to data are riddled with inefficiencies. Data providers find it challenging to handle large volumes of data requests - it often takes days or weeks to fetch and provide data in the shape and quality expected by data consumers. All of this can impede value realization from analytics and AI.
In this webinar, we will discuss how organizations can accelerate data-driven outcomes by taking advantage of modern data sharing solutions such as IBM Data Product Hub to:
- Easily discover and access curated data products through an internal data marketplace
- Reduce silos by sharing data products sourced from disparate source systems
- Manage data-as-a-product across its lifecycle from onboarding to retirement
- Embed governance to ensure that data is shared and used in a compliant manner
- Minimize effort duplication by packaging and sharing reusable data products
Speakers:
- Spurthi Kommajosula , Product Manager, IBM Data Product Hub
- Matthew Free , IBM Data Fabric Americas Sales Leader