Category Archives: Data

The Complete Likert Scale and NPS Power BI Tutorial

The Complete Likert Scale and NPS Power BI Tutorial

If you’ve read my previous tutorial on creating Likert Scale and NPS scores in Tableau, you might have found yourself wondering: how can I achieve the same in Power BI? The good news is, Power BI offers a straightforward way to replicate this process while leveraging its powerful visualization and data modeling features.

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dailybitalks.com The Complete Likert Scale and NPS Tableau Tutorial

The Complete Likert Scale and NPS Tableau Tutorial(Part 1)

Surveys are powerful tools for gathering feedback and insights, with Likert scales and Net Promoter Score (NPS) being two popular methods for measuring attitudes, opinions, and customer satisfaction. Likert scales assess the level of agreement or disagreement on a statement, while NPS measures customer loyalty by asking how likely respondents are to recommend a product or service.

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SQL Is SQL? Really? Comprehensive review on differences between ANSI-SQL, T-SQL dailybitalks.com

SQL is SQL? Comprehensive Review on ANSI-SQL and T-SQL

In the world of databases, SQL is a foundational language that serves as the backbone for interacting with relational databases. However, when delving deeper into SQL, you will come across terms like ANSI SQL and T-SQL, which may seem confusing at first. In this article, we’ll explore what SQL, ANSI SQL, and T-SQL are, how they differ, and their specific use cases.

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dailybitalks.com tableau row-level security

How to Set Row-Level Security in Tableau Using Dynamic User Filters

Ensuring data security and privacy is paramount when dealing with business intelligence and analytics. Tableau, a leading data visualization tool, offers robust features to manage data security effectively. One such feature is Row-Level Security (RLS), which restricts data access for different users based on their roles or attributes. This blog post will guide you through setting up Row-Level Security in Tableau using dynamic user filters.

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