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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. This development will make it easier for smaller organizations to start incorporating AI/ML capabilities.

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What Is Data Governance? (And Why Your Organization Needs It)

erwin

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

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7 types of tech debt that could cripple your business

CIO Business Intelligence

For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. As Mr. Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business.

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How Data Governance Protects Sensitive Data

erwin

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

After connecting, you can query, visualize, and share datagoverned by Amazon DataZone—within the tools you already know and trust. Get started with our technical documentation. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management. Lionel Pulickal is Sr.

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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

SaaS is less robust and less secure than on-premises applications: Despite some SaaS-based teething problems or technical issues reported by the likes of Google, these occurrences are incredibly rare with software as a service applications – and there hasn’t been one major compromise of a SaaS operation documented to date. 6) Micro-SaaS.

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