Remove Dashboards Remove Measurement Remove Metrics Remove Publishing
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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

How to measure your data analytics team? But wait, she asks you for your team metrics. Where is your metrics report? It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. Forty-five metrics! Introduction. You’ve got a new boss. What should I track?

Metrics 130
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. Table of Contents. 2) Why Do You Need DQM?

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

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Best CFO KPIs and Dashboards for the 2021 CFO

Jet Global

A CFO Key Performance Indicator (KPI) or metric is a quantifiable high level measure of financial performance. These performance metrics can also be used to measure a company’s financial performance relative to competitors in the same industry. What KPIs Should be in a CFO’s Dashboard?

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Start DataOps Today with ‘Lean DataOps’

DataKitchen

The pipelines and workflows that ingest data, process it and output charts, dashboards, or other analytics resemble a production pipeline. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Measurement DataOps. Figure 1: The four phases of Lean DataOps.

Testing 246
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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

This article was originally published in Forbes. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.” Data teams should formulate equity metrics in partnership with stakeholders.

Testing 130
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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path. See these graphs originally published by Cogent Legal. Now dashboards are in. Bad data visualizations come in many forms, with some more obvious than others. Give up on PowerPoint.