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Building cyber resiliency for your data with IBM FlashSystem

IBM Big Data Hub

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur. Cyber resiliency goes beyond mere cybersecurity measures.

Risk 85
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10 master data management certifications that will pay off

CIO Business Intelligence

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers you have the right skillset. The credential is available at the executive management, principal, mastery, associate practitioner, and foundation assistant data governance professional levels.

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AI governance is rapidly evolving — Here’s how government agencies must prepare

IBM Big Data Hub

Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. Compliance with official policies through auditing tools and other measures is merely the final step.

Risk 78
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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link? This was from 2020.

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The Modern Data Stack Explained: What The Future Holds

Alation

Data literacy — Employees can interpret and analyze data to draw logical conclusions; they can also identify subject matter experts best equipped to educate on specific data assets. Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack?

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data.

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Systems Thinking and Data Science: a partnership or a competition?

Jen Stirrup

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Systems thinking helps the organization frame the problems in a way that provides actionable insights by considering the overall design, not just the data on its own.