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When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares

DataKitchen

A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent reports. Reports are run on schedule, but they reflect outdated information. But measuring cross-system timing dependencies? Machine learning models retrain on outdated features.

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How Volkswagen Autoeuropa built a data solution with a robust governance framework, simplifying access to quality data using Amazon DataZone

AWS Big Data

This second post of a two-part series that details how Volkswagen Autoeuropa , a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution.

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The Data Quality Revolution Starts with You

DataKitchen

Maybe it’s the marketing team that can’t trust their campaign attribution data, or the finance department that spends hours reconciling conflicting revenue reports. Choose one customer, understand their world, and make their life measurably better. Every change you make needs to be continually measured and monitored.

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Critical Data Elements: Your Shortcut to Data Governance That Actually Works

DataKitchen

In finance, focus areas include customer account numbers, transaction details and amounts, security codes, authentication data, credit scores, and risk assessments. Modern data quality platforms like DataOps Data Quality TestGen provide open-source solutions that make CDE monitoring accessible to organizations of all sizes.

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Goodbye digital transformation, hello AI-first business transformation

CIO Business Intelligence

Gartner found that only 19% of boards reported making progress toward achieving digital transformation goals. At its core, AI asks us to challenge everything we know about how we structure, operate, and measure business success. If you work in finance, youre working in SAP. Start with how you think about work.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. Another area is democratizing data analysis and reporting.

IT
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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. These inconsistencies fuel reporting errors, undermine analytics and stall enterprise-wide alignment. Compliance-heavy environments, enterprise reporting.