IBM watsonx.data intelligence on IBM Software Hub

Description

Watsonx.data intelligence provides a set of integrated capabilities, including data governance, and data lineage, and data product sharing, that help you deliver high quality, trusted data to end users while ensuring governance and compliance.

Data governance and catalog

Effective data governance is crucial for maintaining data integrity, privacy, and security. Use the data governance tools to establish policies and procedures for managing your data assets. These tools help enforce compliance with regulatory requirements like GDPR and CCPA, manage metadata, and track data usage across the organization. By implementing a robust data governance framework, businesses can ensure that their data is handled responsibly and ethically.

Data quality

Enhance data quality to ensure that your data is accurate, consistent, and trustworthy. By implementing data quality best practices, you can improve the reliability of analytics, leading to better decision-making. The data quality tools include automated data profiling, cleansing, and validation capabilities, which help identify and rectify data issues promptly.

Data lineage

Understanding the origin and transformation of data is essential for maintaining data quality and compliance. The data lineage tools provide detailed insights into the data lifecycle, showing how data moves and changes over time. This transparency is critical for auditing purposes and helps organizations identify the source of data issues quickly. Data lineage capabilities also support impact analysis, allowing businesses to understand the potential effects of changes to data processes.

Data product hub

Share data securely and efficiently within and outside the organization. Data sharing tools ensure that the right data is accessible to the right people while protecting sensitive information. Streamline data sharing by automating the delivery of data products to data consumers across the organization. Breaks down data silos by connecting to disparate source systems to simplify the onboarding of reusable data products, no matter where the data resides. Organizations gain data lifecycle management capabilities to manage data-as-a-product and cost-effectively deliver fit-for-purpose data and analytics products to data consumers. By promoting a culture of data sharing, organizations can foster collaboration, drive innovation, and accelerate decision-making.

Licensing information

Quick links

• Install: Install the service
• Use: Work with the service
• Administer: Manage and maintain the service
• Develop: Write code and build applications

Integrated services