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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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What you need to know about product management for AI

O'Reilly on Data

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

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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.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

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

IBM Big Data Hub

Using data, user research and human-centered design to effectively address these considerations can help you develop a clear modernization strategy that objectively drives your priorities, backlogs and roadmaps. The pain point tracker clusters the foundational data in which value metrics are then applied.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. – A D&A leader of CDO or whoever will lead the development of the D&A strategy will of necessity work with business executives.

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Product Management for AI

Domino Data Lab

The person who sets strategy, defines the rules of the market game you’re playing, and they work together with all these different teams and functions within the business to prioritize projects and execute on a roadmap to deliver those. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.