Data Science and Beyond

DECEMBER 23, 2018

I’ve been interested in the area of causal inference in the past few years. In my opinion it’s more exciting and relevant to everyday life than more hyped data science areas like deep learning. However, I’ve found it hard to apply what I’ve learned about causal inference to my work. Now, I believe I’ve finally found a book with practical techniques that I can use on real problems: Causal Inference by Miguel Hernán and Jamie Robins.

Deep Learning 103

Deep Learning Experimentation Data Science Data-driven 103

Bruno Aziza

DECEMBER 23, 2018

2018. What an incredible year. I’m no financial expert. But as a market observer, I have noted a fair amount of #fails this year. Here are at least 3 that I thought would be worth recapping. I’m sure I’ve missed a few. Feel free to tweet me at @brunoaziza for comments and suggestions.

Marketing 57

Marketing 57

The Data Visualisation Catalogue

DECEMBER 23, 2018

One of the methods I used during my investigatation into the impact of Virtual Reality (VR) technology on data visualization and infographic design was to simply search online what other people have been saying. For a few years now, there have been a number of articles prophesying the coming of VR to the field of data visualization and the big data industry.

Visualization 43

Visualization Big Data Finance Technology 43

Jen Stirrup

DECEMBER 27, 2018

One of the issues of diversity is that people can suffer from diversity myopia, which I understand to be the situation where people don’t see diversity clearly. I now think that the issue is that sometimes that people from diverse backgrounds are simply not seen in the first place. Like the protagonist in the Invisible Man by Ralph Ellison , you’re simply not seen in the first place.

Measurement 40

Measurement IT 40

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Smarten

DECEMBER 24, 2018

What Are the Advantages of Advanced Analytics? If you are considering an advanced analytics solution, you are probably wondering what you might get from the solution. Are there real benefits to this type of solution and to the democratization of data and the implementation of a self-serve augmented analytics solution that is meant for business users?

Analytics 40

Analytics Predictive Modeling Forecasting Visualization 40

Bruno Aziza

DECEMBER 26, 2018

Businesses need to move rapidly to adopt agile data processes so they can move quicker and be more responsive to customers.

Data Processing 47

Data Processing 47