Gartner’s 2009 and 2015 research on the emerging Information Stewardship market, reveals a crucial finding: the diverse responsibilities of data stewards can only be effectively supported by a horizontal stewardship platform.

Why a Horizontal Stewardship Platform Matters:

• Data Helpdesk for Issue Management: Users often encounter data that doesn’t meet their needs, requiring the expertise of stewards to handle incoming data issues, conduct root cause analysis, and manage escalations.
• Business Glossary for Shared Meaning Coordination: Collaborating across different business contexts can lead to misunderstandings. Stewards play a vital role in maintaining a business glossary to ensure shared understanding and smooth interactions.
• Data Valuation Console for Identifying Data Value: Not all data holds the same value. Stewards help identify valuable data and prioritize activities, ensuring that valuable data is managed effectively.

The Shift to a Data Governance 2.0 Approach:

Forrester Research aligns with Gartner’s perspective, emphasizing the significance of a horizontal data stewardship application, termed “data governance 2.0.” This approach highlights newer, more innovative vendors displacing older ones with their robust solutions designed to address the complex challenges of the enterprise.

Why Choose Data360?

Precisely Data360 Govern is purpose-built from the ground up to deliver:

• Integrated Governance Platform: No silos, seamless integration to support various stewardship applications, from business goals and objectives all the way to deep, technical metadata management, to provide a true 360 degree view of your enterprise data assets
• Out-of-the-Box Stewardship Applications: Quick implementation, allowing organizations to hit the ground running, with very little dependencies on technical IT resources
• Configurable Operating Model: Tailored to meet the needs of complex or large companies.
• Integration Capability: Seamless integration with existing data management toolsets.

Empowering a Data-Driven Enterprise:

Data governance is the bedrock of a data-driven enterprise. Selecting the right data governance platform empowers organizations to build an understanding of their information assets, enabling trusted analytics, operating effectiveness, and new data-driven revenue generation approaches.

Three Key Considerations:

Companies that approach the challenges of data governance in the right way, and select appropriate tools, will build an understanding of the information assets that will empower trusted analytics, ensure operating effectiveness and support new data-driven approaches to revenue generation.

This is not the time to paint yourself into a corner.

Ask yourself three questions:

1. Does the technology choice I am making provide robust support for my current (first priority) use case? It is important that this initial case is strong and delivers value
2. Can I easily extend to add additional use cases when I need to (next week, next month or next year)? What use cases are supported and how easily can the operating model be extended? Data is pervasive and over time the Data Governance platform may need to support master data management, big data, BI and even compliance programs. A wide range of possible use cases means that you can support multiple stakeholders and coordinate and manage data issues and risks to enable numerous business projects.
3. What is the engagement model? Data governance in a large environment is complex. Different stakeholders have differing expectations, different needs and competing priorities. Many of your most important users may be part-time and pressed for time. How will you minimize the impact of data stewardship on each person – through flexible automation, consistent interfaces for different tasks, meaningful reporting and management controls, and re-use of existing technical data management artefacts such as data models.

Conclusion:

Data governance is the foundation of the data-driven enterprise.

Implementing a data governance platform is not a silver bullet for data governance, but the right platform will make data governance practical and visible, managing the complexities of corporate EIM environments effectively.