Fri.May 03, 2019

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A Simple Data Capability Framework

Peter James Thomas

Larger PDF version (opens in a new tab). Introduction. As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Regular readers will also recall my tripartite series on The Anatomy of a Data Function , which really focussed more on capabilities than purely organisation structure [1].

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Types of Data Analysis – Fundamentals of Analysis

The Data School

There are different types of analysis. Each is suited to different roles within a company, analyst, executive, data scientists, etc.

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IoT, Automation and Domopalooza 2019

David Menninger's Analyst Perspectives

Domopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed. With thousands in attendance and growing fast, this year's conference focused on five key areas: digitization, real time connectivity, driving insight based actions, applying AI & machine learning, and building applications.

IoT 124
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How to know if Microsoft Azure is down?

Data Science 101

Occasionally a product in Microsoft Azure will go down. Luckily, Azure has a status page to tell you which servers and services are down. Here is a quick video to help you find that status page.

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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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Carrefour's Recipe for Success: Embrace AI and Become Data-Driven

DataRobot

Retail is one of the many industries that is embracing AI and seeing exponential results. “.AI in retail is expected to witness a growth in spending of over 200% between 2019 and 2023. The projections reveal that it will be $12 billion in spending by 2023.” ( MartechSeries ) Retailers around the world are leveraging AI throughout their entire organizations to improve demand forecasting, customer experience, and targeted campaigns.

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Data Scientist vs. Data Analyst - What’s the Difference?

Dataiku

Whether you’re a student deciding on a career path, a data analyst looking for a change, or a business owner looking to hire data talent, the question of data scientist vs. data analyst (or business analyst) is a common one. Yet as the industry progresses, the question is actually becoming increasingly more complicated- here’s why.

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A How-to-create-an-AI-business-strategy anyone can use

Andrew White

My colleague Whit Andrews helps explain how to develop a business-relevant AI strategy. It is in terms, and pictures, anyone can use: [link].

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Correlation and P value – Fundamentals of Analysis

The Data School

Understand how correlation and P-value are related to each other within data analytics.

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Test Chapter – Best of Stack Overflow

The Data School

summary

Testing 40