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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

For example, metrics like the percentage of missing values help measure completeness, while deviations from authoritative sources gauge accuracy. These metrics are typically visualized through tools such as heatmaps, pie charts, or bar graphs, making it easy for stakeholders to understand compliance levels across different dimensions.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges? Whats worse: Inputs are rarely exactly the same.

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Create value with AI agents

CIO Business Intelligence

Mastering them requires robust data infrastructure, clear ROI metrics, security and trust, and a forward-looking operating model. And beyond productivity, they are increasingly viewed as catalysts for tangible ROI and market disruption. Starting now can help you leverage AI agents for genuine business transformation.

ROI
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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

AI governance software will also become increasingly important in this process, with Forrester predicting spending on off-the-shelf solutions will more than quadruple by 2030, reaching almost $16 billion. Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow.

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5 tips for better business value from gen AI

CIO Business Intelligence

Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. Specify metrics that align with key business objectives Every department has operating metrics that are key to increasing revenue, improving customer satisfaction, and delivering other strategic objectives.

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How to talk to your board about tech debt

CIO Business Intelligence

When you reframe the conversation this way, technical debt becomes a strategic business issue that directly impacts the value metrics the board cares about most. So it’s essential to show the ROI to your business from the management of these costs. This creates a compelling “act now” narrative that boards understand.

ROI
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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Diminishing returns CIOs ask how to get data clean, but they should ask how far to take it, says Mark Molyneux, EMEA CTO at software developer Cohesity. So, before embarking on major data cleaning for enterprise AI, consider the downsides of making your data too clean.