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

Sisense

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? What are the right KPIs and outputs for your product? The perfect fit. This is done by an ML method called validation.

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Building Data Models to Empower Self-Service Users

Sisense

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Picking a direction for your data model. Think like a designer. However, just asking your users, “What do you want?”

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Data Model Development Using Jinja

Sisense

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

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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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Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector

Tableau

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

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Augmented Analytics: Empowering Users with Deeper Intelligence

Sisense

Team members with data skills including SQL, Python, R, and other prototyping methodologies can work directly to enhance analytics modeling platforms like Sisense. In other words, data experts can dovetail their coding skills with AI functionality to produce more sophisticated and more accurate models.

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When and How to Use Multi-fact Relationships in Tableau

Tableau

Spencer Czapiewski July 25, 2024 - 5:54pm Thomas Nhan Director, Product Management, Tableau Lari McEdward Technical Writer, Tableau Expand your data modeling and analysis with Multi-fact Relationships, available with Tableau 2024.2. Sometimes data spans multiple base tables in different, unrelated contexts.

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