Identifying Key Challenges in Data Governance Initiatives PPT
This PPT slide, part of the 23-slide Data Governance Primer PowerPoint presentation, outlines key challenges faced during the initial phase of a Data Governance initiative. It emphasizes that these challenges often stem from conflicting perspectives within the organization. The content is divided into 3 main sections, each addressing a specific challenge.
The first section discusses the difficulty in demonstrating the business value of the Data Governance program. It highlights that without clearly defined benefits, stakeholders may be reluctant to support the initiative. Identifying quantifiable indicators related to data quality improvements is essential. Metrics such as accuracy rates, error rates, and cost savings are suggested as valuable tools to convince stakeholders of the program's merits.
The second section focuses on reinforcing internal business intelligence and analytics. It notes that the rise of in-house analytics capabilities has led to an increase in data users, which necessitates a robust governance framework. This framework should not only ensure data accuracy and accessibility, but also address the potential for data misuse. Additionally, maintaining the confidentiality and security of real-time data analytics is identified as a significant challenge.
The final section addresses the complexities introduced by big data. It points out that big data systems differ from traditional databases, as they often handle unstructured or semi-structured data. Data Governance systems must adapt to manage various data types across multiple platforms, including Hadoop and NoSQL databases. The need to filter raw data for analytics further complicates governance efforts.
Overall, the slide serves as a critical reminder of the multifaceted challenges organizations face when initiating Data Governance programs, underscoring the importance of strategic planning and stakeholder engagement.
This slide is part of the Data Governance Primer PowerPoint presentation.
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Data Governance Strategic Planning Big Data Business Intelligence Data Analytics Analytics Governance
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