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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

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3 Ways Atlas for Microsoft Dynamics 365 F&O Addresses Data Integrity Issues

Jet Global

Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem. Errors and omissions are going to end up in large, complex data sets whenever humans handle the data. Prevention is the only real cure for data integrity issues.

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Analyze Amazon S3 storage costs using AWS Cost and Usage Reports, Amazon S3 Inventory, and Amazon Athena

AWS Big Data

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. Enable the Cost and Usage Reports. Run queries in Athena.

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CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

Seventy-one percent of business leaders expect AI and ML to have a worldwide impact, according to the Workday C-Suite Global AI Indicator Report. Business leaders are excited about what AI and ML could do for their organizations—especially operational efficiency, better decision-making, and competitive advantage,” says the report.

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4 Ways to Avoid Year-End Overload With Automated Reporting

Jet Global

Many organizations are still using disjointed manual processes to complete their end-of-year financial disclosures, which necessitates a lot of work and opens the door for a host of opportunities for errors to creep into the process. Most year-end reporting calls for narrative content as well.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. QuickSight lets you perform aggregate calculations on metrics for deeper analysis.

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