analytics, data science
Kind of a rant discussing the shift of Data Science towards technology and losing sight of the business value.
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analytics, data warehouse, excel, sql
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.
data warehouse
After years of analytics pratice, we came to a set of opinions on how data warehouses should be built.
Greenplum, hadoop, impala, pivotal hd
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 […]
analytics, business, customer value, marketing
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 […]
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 […]
analytics, business, data warehouse
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 […]
data mining
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 […]
analytics, data mining
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. […]
analytics, business, marketing
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 […]
