Sun.Jul 19, 2020

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24 Commonly used SQL Functions for Data Analysis tasks

Analytics Vidhya

Introduction Anything and everything related to data in the 21st century have become of prime relevance. And one of the key skills for any. The post 24 Commonly used SQL Functions for Data Analysis tasks appeared first on Analytics Vidhya.

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InMoment - Showcasing Return on Customer Experience Investment (ROXI)

Corinium

This is an adapted excerpt from InMoment’s new eBook “Evolving Your Customer Experience Program”. Download here. Even though it’s generally understood that experience management programs help businesses to be more efficient, profitable, and higher performing, customer experience (CX) professionals are consistently challenged to prove the economic impact of their programs.

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Doing Good with Data: Teradata's COVID-19 Resiliency Dashboard

Teradata

To help our customers navigate the world's new normal, our teams have created a business-centric, execution-focused tool – we call it the Resiliency Dashboard.

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Power BI External Tools: Reading the Tea Leaves

Paul Turley

This week, Christian Wade from Microsoft announced on the Microsoft Power BI blog that a new ribbon "External Tools" was added to the preview features of Power BI Desktop in the July update. In earlier posts, Christian has promoted community developed tools such as Tabular Editor, DAX Studio and the ALM Toolkit that can be used as replacements or extensions to the Power BI development experience.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Data Dictionary Best Practices in 2020

Octopai

The data dictionary remains a crucial tool for BI teams to organize their metadata. The implementation of automation in data technology has made these tools even more powerful. So, implementing best practices is now more important than ever. Following strict guidelines when putting together a data dictionary helps eliminate data overlap and minimizes the chance of providing misleading information.

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Data Dictionary Best Practices in 2020

Octopai

The data dictionary remains a crucial tool for BI teams to organize their metadata. The implementation of automation in data technology has made these tools even more powerful. So, implementing best practices is now more important than ever. Following strict guidelines when putting together a data dictionary helps eliminate data overlap and minimizes the chance of providing misleading information.