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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

This process is known as data integration , one of the key components to improving the usability of data for AI and other use cases, such as business intelligence (BI) and analytics. Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models.

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Regularly reviewing the framework and adjusting it based on feedback, new regulations or changes in business strategy fosters a culture that values data as a strategic asset, supporting effective business intelligence and data use across the organization.

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Secrets from Data Governance Leaders: DGIQ West 2023 (June 5 – 9)

Alation

Ben Fox has worked with data-driven organizations such as Toyota Financial, Washington Mutual, Disney, Activision Blizzard, and Electronic Arts, and has authored the book, Cooking with Business Intelligence. His major takeaway?

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Steps to Continuous Data Governance Improvement

The Data Administration Newsletter

Borne of the Japanese business philosophy, kaizen is most often associated […]. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process.

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The Move to Public Cloud and an Intelligent Data Strategy

Dataversity

It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. As […].

DataOps 94
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Understanding Zero-Code Development Life Cycle in Matillion

phData

With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. The most common final stage is a curation of reports that are designed for the specific business intelligence tool to be used.

ETL 52
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Enterprise Analytics: Key Challenges & Strategies

Alation

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Business strategy. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Data engineering. Analytics forecasting.