analytics, data science
Kind of a rant discussing the shift of Data Science towards technology and losing sight of the business value.
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.
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 […]
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 […]