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How Data Ethics Supports Governance & Monetisation

Alation

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

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

DataKitchen

Under Efficiency, the Number of Data Product Owners metric measures the value of the business’s data products. Under Quality, the Data Quality Incidents metric measures the average data quality of datasets, while the Active Daily Users metric measures user activity across data platforms.

Metrics 130
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Financial Dashboard: Definition, Examples, and How-tos

FineReport

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

What makes or breaks the success of a modernization is our willingness to develop a detailed, data-driven understanding of the unique needs of those that we aim to benefit. How to prioritize : Use data to understand what enhancements and capabilities would bring the greatest benefit.

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The 6 Layers of an IoT Solution

CDW Research Hub

By understanding these layers early in the IoT Workshop process, your team will have a better chance of adopting an IoT solution that not only sticks, but benefits your business. With edge computing, computation and data analytics are brought closer to the source of the data —where things and people produce or consume that information.

IoT 89
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Dear Avinash: Attribution Modeling, Org Culture, Deeper Analysis

Occam's Razor

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Bjoern Sjut3: My main issue at the moment: How will multi-channel funnels and ROI calculations work in a multi device world? They also reveal things that starting to become scary (Privacy!

Modeling 124
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Product Management for AI

Domino Data Lab

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. To prioritize, how do we do this?