Data science for data-driven startups

How to escape the data monkey trap to leverage analytics

Do you feel spending more time getting the data instead of producing impactful insights? You are not alone. Let’s explore 4 ways to solve this.

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Data Warehouse Manifesto : Enabling agile analytics

After years of analytics pratice, we came to a set of opinions on how data warehouses should be built.

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Big data benchmark : Impala vs Hawq vs Hive

With the recent release of Pivotal HD, I wanted to check the current state of Hadoop SQL engines. SQL integration is growing in the Hadoop […]

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Price deal analysis

Price deal is a common method to boost sales. Steam push it to an art. There is always a lot of stuff to buy at […]

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The call for a Modular Data Warehouse

In those day of huge focus on the Big Data mouvement, it seems that nobody needs a data warehouse anymore but a huge cloud of […]

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Big data and mobile BI : New hype but same old issue

For the end of 2011, many around the blogosphere are forecasting what will be on hype next year. I often read that big data and […]

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About evaluation

When deploying a model, one very important thing is to monitor the results. Does it work like you’ve expected? I’m not talking about pre production […]

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Machine learning vs simulation

Lately, I was thinking on the difference between machine learning and simulation (for prediction). ¬†Machine learning use historical inputs and outputs to find subsequent outputs. […]

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The cost of reducing costs

Predicting the number of sales representatives on a particular time on a particular store is harder than expected. If you instrument the whole process, you […]

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What is the value of your work?

It’s a damn good question which should be tightly correlated to your salary in an utopic world. In other words, how do you justify your […]

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