Practice Director - Data Architecture & Governance at Agilarc LLC
Real User
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
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 reliable data across an organization by managing data availability, usability, and security. It sets policies and processes critical to the control of data quality, compliance, and accessibility.Enterprises must implement a solid Data Governance strategy to handle data growth and complexity. A well-defined framework helps ensure accurate reporting, improved regulatory compliance, and efficient data management. Users value solutions that offer robust policy frameworks,...
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.