Remove Metrics Remove Presentation Remove Strategy
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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. For example, metrics like the percentage of missing values help measure completeness, while deviations from authoritative sources gauge accuracy.

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Generative AI: A Self-Study Roadmap

KDnuggets

For developers and data practitioners, this shift presents both opportunity and challenge. Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. Concepts like overfitting, generalization, and evaluation metrics translate directly to generative AI, though the specific metrics differ.

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3 ways to avoid the generative AI ROI doom loop

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax From the Wall Street Journal to the World Economic Forum , it seems like everyone is talking about the urgency of demonstrating ROI from generative AI (genAI). That presentation in question sits inside two workflows. or the dreaded ‘ meeting before the meeting ’)?”

ROI
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Revolutionizing Customer Touchpoints with AI Across Digital Platforms

DataFloq

Modern businesses leveraging AI-powered solutions report dramatic improvements in engagement rates, conversion metrics, and customer lifetime value. This includes registration patterns, attendance behaviors, engagement metrics, chat interactions, and post-event actions.

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Data Storytelling: The Missing Link Between Analytics and Business Impact

Jen Stirrup

The Gap Between Data and Decisions In today's data-saturated business landscape, organizations are drowning in metrics yet starving for meaning. Traditional approaches to data presentation often suffer from several critical shortcomings: Information overload : Executives don't need more dashboards crowded with every possible metric.

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We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back

DataKitchen

In a functional system, the calculation receives raw transaction data and customer attributes as input and produces CLV metrics as output. Tested – Automated Tests Everywhere, Hope is Not a Strategy We treat tests as first-class citizens in our data architecture, not afterthoughts or nice-to-haves.

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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. If they’re going to benefit from AI strategies, companies must address this foundation before they can effectively scale their gen AI initiatives.

ROI