Sun.Feb 14, 2021

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Doing Power BI the Right Way: 4. Power Query design best practices

Paul Turley

Part of the the series: Doing Power BI the Right Way Although my professional focus is building enterprise-scale BI solutions, I’ve created my share of informal Power BI reports that were put together quickly, with the goal to create something “good enough” rather then achieving perfection.

Reporting 106
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Machine Learning Algorithms and the Data Pros Who Use Them

Business Over Broadway

A recent survey by Kaggle revealed that data professionals used a variety of different ML algorithms in their work. On average, data professionals used two (median) algorithms. The most frequently used algorithms were 1) linear/logistic regression, 2) decision trees/random forests and 3) Convolutional Neural Networks. The total number of and use of specific algorithms varied across job titles, with ML engineers using the most (4) and DBA/Database Engineers using the least (1).

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7 Data-Driven Steps to Putting Your SaaS Product On Multiple Virtual Shelves

Smart Data Collective

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. New SaaS businesses have discovered that data analytics is important for facilitating many aspects of their models.

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15 Supply Chain Metrics & KPIs You Need For A Successful Business

datapine

“It’s not the organizations that are competing. It’s the supply chains that are competing.” – Wael Safwat, SCMAO. The supply chain is essentially the backbone of any business: a living ecosystem that ensures the smooth, efficient, and consistent delivery of a product or service from a supplier to a customer. And if your supply chain is inefficient, ineffective, or fragmented, it could seriously hinder your commercial prospects.

Metrics 260
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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.