Since launching Silicon Valley Data Science, we hear three issues more often than anything else in the conversations we have with our clients: handling data overload, choosing analytic approaches, and having the right skills and resources. Let’s take a look at these.
Parts 1 through 3 of this series looked at our preferred scenarios and best practices for instant messaging, video conferencing, and phone meetings. This final installment focuses on email.
Parts 1 and 2 of this series looked at our preferred scenarios and best practices for instant messaging and video conferencing. This post focuses on phone meetings.
Check out the slides from our recent presentations at Data Day TX and Graph Day.
How can you manage your implementation in a way that allows you to take maximum advantage of technology innovation as you go, rather than having to freeze your view of technology to today’s state and design something that will be outdated when it launches? You must start by deciding which pieces are necessary now, and which can wait.
In Part 1 of this series on effective communication with remote colleagues, I looked at our preferred scenarios and best practices for instant messaging. This week, I’m sharing some thoughts about video conferencing.
Silicon Valley Data Science has designed a new method to create a data strategy that overcomes limitations of conventional approaches. Recent advances in communications, networking, data, and analytics technologies are changing the way leading companies organize around, architect for, and deliver data-driven capabilities.
We believe that when even one colleague is remote, then we’re all remote — from someone. This post is the start of a four-part series covering modern communication tools, beginning with some hard-won lessons about etiquette and best practices for instant messaging; and future posts will cover video conferencing, phone meetings, and email.
Scott Kurth, John Akred, and Julie Steele discuss developing a modern data strategy during an Ask Me Anything at Strata NY 2015. This was originally posted on the O’Reilly Media Data blog.