Remove Dashboards Remove Measurement Remove Technology
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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. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. They require fundamentally reimagining how we approach enterprise architecture and technology delivery. The stakes have never been higher.

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Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

Bigeye was founded in late 2018 by Chief Executive Officer Kyle Kirwan and Chief Technology Officer Egor Gryaznov. Bigeye’s monitoring capabilities start with automated dependency mapping to identify the source of data used in analytic dashboards and data products, as well as a lineage graph of the data pipeline.

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What’s Next for AI and Sales?

David Menninger's Analyst Perspectives

Ten years have passed since artificial intelligence (AI) first appeared in sales technology, and the results are mixed. Today the marketing phrase and technological direction is agentic AI. But it is also a risk, because a brilliant recommendation stranded in a dashboard or report is doomed. Rumors of CRMs demise are premature.

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Data Fluency vs. Data Literacy: The Key to AI-Driven Business Success

Jen Stirrup

It enables teams to understand basic dashboards, interpret standard reports, and complete technical training programs. These leaders demonstrate adaptive tool utilization, quickly embracing and mastering new analytics tools and methodologies as technology evolves. What gets measured and rewarded gets repeated.

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Bridging the AI Execution Gap: Why Strong Data Foundations Make or Break Enterprise AI

Jen Stirrup

The most alarming aspect isn't that these projects fail due to technological limitations or lack of innovation, but rather because they're built upon weak data foundations. This phenomenon—known as the "AI execution gap"—represents the chasm between AI aspirations and successful implementations.

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Security-FinOps collaboration can reap hidden cloud benefits: 11 tips

CIO Business Intelligence

For example, from a technology perspective, cloud security posture management (CSPM) and cloud workload protection platforms (CWPPs) are brimming with data that can assist FinOps teams, in addition to what they already do for security teams.