Failure is appealing as a stepping stone along the path to innovation, but it’s very scary in practice—especially when you can’t yet see where the path is leading. We’d like to suggest the following five guidelines as a place to start.
When it comes to data strategy, many people read the “data” part and automatically dump the topic in the “technical” bucket.
It’s been hard to miss Apache Spark in the last year. Many systems integrators, including ourselves, have also been enthusiastic about it.
I recently spoke about “Unlocking Business Opportunity from Big Data” to a group of former CEOs and senior business executives. Here are some questions they had.
This is a great time for big data in business.
We recently celebrated our first birthday here at Silicon Valley Data Science.
What does it mean to be data-driven? It’s not about finding analytical fairy dust that you can sprinkle to make everything better.
Silicon Valley Data Science has designed a new method to create a data strategy to overcome limitations of conventional approaches.
A key element of Silicon Valley software product delivery teams is an agile delivery methodology—oil to the water of firm fixed price contracts.