


Understanding and interpreting data effectively
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what is d&a Informational
- Selecting appropriate technologies, automating workflows, and ensuring data quality and reliability
- Understanding the changing skills requirements and the impact of automation
- Engaging stakeholders and driving action through compelling narratives
- Guiding decision-making with data What is natural language processing (NLP) in D&A?
- Procedures for restoring data after loss or corruption
- Protecting against data loss What are disaster recovery plans for data infrastructure?
- Making data insights accessible and actionable for business users How can organizations measure the success and impact of their data governance programs?
- Promoting the use of data for societal benefit How can organizations effectively communicate the value and impact of their D&A investments to executive leadership and stakeholders?
- Distinguishing raw data from processed insights
- Using data to anticipate trends What is prescriptive analytics in D&A?
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