Remove Business Objectives Remove Data Collection Remove Measurement Remove Modeling
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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

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Bringing an AI Product to Market

O'Reilly on Data

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362
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3 things CIOs must do now to accurately hit net-zero targets

CIO Business Intelligence

Regardless of whether they take a ‘build on’ or ‘create anew’ approach, CIOs should consider three key actions to meet their sustainability and broader business objectives. In other cases, they’re innovating and creating better solutions by identifying, building, and scaling those technologies to be more sustainable.

Software 105
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Frugal AI: Value at Scale Without Breaking the Bank

Dataiku

It’s no secret that training AI models is an energy-intensive and large dataset-dependent endeavor and, to corroborate this, researchers at the University of Massachusetts Amherst performed a lifecycle assessment on large, widely accepted AI models trained on the vast datasets needed to achieve accuracy.

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The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

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The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

For eCommerce site X, Conversion Rate might be a KPI because their current objectives are tied to reversing key business trends. The key is knowing what your business objectives are. Helpful post: You Are What You Measure, So Choose Your KPIs (Incentives) Wisely! ]. Checking data collection quality etc.

Analytics 150