![Managing big data, Part 2: Human questions and considerations Man staring at charts and numbers](https://blogs.sas.com/content/datamanagement/files/2015/10/482187289.jpg)
.@philsimon on the soft skills that Big Data requires.
.@philsimon on the soft skills that Big Data requires.
.@philsimon on the new role of IT.
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up
@philsimon says that, yes, we can learn a great deal.
.@philsimon looks under the hood of 'analytics.'
When asked what his movement wanted around a century ago, the iconic American labor leader Samuel Gompers famously gave a one-word answer: "More." This annoyed his opponents at the negotiating table and many in the business community. He was not demanding a specific wage increase or fighting for a distinct cause like
What are all of the companies in San Francisco trying to make the Internet of Things happen? Google it if you like, but you're only like to get a simple list of companies, no doubt in an SEO-friendly order. What if you could see those companies in a more comprehensive
We live in an era in which it's not terribly difficult for companies to ape many of their competitors' products and services, especially digital ones. For relatively small amounts of money (compared to years past), an organization can more or less mimic another's raison d'être and even specific functionality. As for design,
We have entered the era of big data, but many questions remain unanswered. For instance, who owns all of this information, anyway? If you take a photo and post it on Facebook or Twitter, does it still belong to you? If you create a presentation with Google Docs, does Google
"Most” organizations are embracing big data. For instance, a 2013 Gartner survey found that 64 percent of enterprises were deploying or planning big data projects, up from 58% the year before. Those numbers simply don't fit with what I’m seeing, and I suspect that I'm hardly alone. (By way of