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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

Specifically, use an affinity diagram to prioritize and plan the minimum viable product (MVP). Accurately prepared data is the base of AI. As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? The perfect fit.

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Business Analysis Digest #37

Passionate BA

by Yulia Kosarenko All images by the author This article delves into the fundamental difference between a system and a solution in the context of business analysis and product management. Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs.

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Staff picks for Tableau Conference 2022 sessions

Tableau

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Session: From Data to Dashboard: Key Features for Analytical Success. A must-attend for IT/data pros and data leaders alike.

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Staff picks for Tableau Conference 2022 sessions

Tableau

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Session: From Data to Dashboard: Key Features for Analytical Success. A must-attend for IT/data pros and data leaders alike.

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Data fabric’s value to the enterprise

Tableau

VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Volker Metten.

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Your Cloud Journey Is More Important Than Ever

Insight Software

Here are the burdens facing your team with on-premises ERP solutions: Too complex: ERP data models are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to a data model often require technical support including, but not limited to, a forced reboot of connected applications.

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Data fabric’s value to the enterprise

Tableau

VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Volker Metten.