Practice Director - Data Architecture & Governance at Agilarc LLC
Real User
2021-05-06T14:57:11Z
May 6, 2021
Challenges to Data Governance come from 'things that are lacking'.
Overcoming a lack is found in identifying precisely the gap, planning to fill the gap, execution of filling the gap, and measuring again ensuring the gap is indeed filled.
The common lacks that present the biggest risk to Data Governance: - Leadership - the orchestration of data activities that maximize the impact - Knowledge - the truths surrounding the true value of data and the governance required - Support - the communication required to emphasize the practicalities AND the risks - Resources - the budgets, ownership rights, and people required to govern the data
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CEO at a tech services company with 51-200 employees
Real User
2021-05-12T15:42:35Z
May 12, 2021
I agree with Thomas, adding two more topics: 1 - Prove the business value, it not easy but it's necessary to accelerate the adoption; 2 - Use business cases and best practices.
Data Governance ensures accurate and consistent data management across an organization. It establishes clear policies and standards for data management, helping companies maximize their data's value.Solutions in Data Governance offer structures and processes that streamline data management, ensuring compliance with regulations and enhancing data quality. Businesses benefit from improved decision-making capabilities and operational efficiencies. Feedback highlights the adaptability of these...
Challenges to Data Governance come from 'things that are lacking'.
Overcoming a lack is found in identifying precisely the gap, planning to fill the gap, execution of filling the gap, and measuring again ensuring the gap is indeed filled.
The common lacks that present the biggest risk to Data Governance:
- Leadership - the orchestration of data activities that maximize the impact
- Knowledge - the truths surrounding the true value of data and the governance required
- Support - the communication required to emphasize the practicalities AND the risks
- Resources - the budgets, ownership rights, and people required to govern the data
I agree with Thomas, adding two more topics: 1 - Prove the business value, it not easy but it's necessary to accelerate the adoption; 2 - Use business cases and best practices.