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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

In terms of business benefits, respondents cited improvements with the alignment of capabilities with strategy, business investment decisions, compliance and risk management, business processes, collaboration between functions, business insights, business agility and continuity , and a faster time to market and innovation.

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Top Takeaways from the Gartner® Innovation Insight: Data Security Posture Management

Laminar Security

That’s particularly concerning considering that 60% of worldwide corporate data was stored in the cloud during that same period. So while the cloud has become an integral part of doing business, data security in the cloud is lagging behind.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. a second priority?at

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. This is not that.

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What is a Data Pipeline?

Jet Global

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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5 Ways to Improve Oracle Financial Reporting Efficiency

Jet Global

These solutions empower Oracle finance teams to focus on higher-value activities, such as financial planning and analysis, risk management, and driving business growth. Modern financial reporting solutions offer robust capabilities to streamline processes, enhance collaboration, and provide real-time insights.