ENTRIES TAGGED "analytics"
A deconstructed web analytics report shows what the dashboard missed.
We can all agree that in 2013 web analytics is still a nightmare, right?
The last few years have brought about an enormous expansion in the top of the web analytics information overload funnel, and today I can discover just about any aspect of my web traffic that piques my curiosity.
I know how much traffic I’m getting, who told them to come here, how they got here, how long they’re staying, what they’re looking at, what they’re using to look at it, where they’re from, and just about anything else I want to know about them. If I don’t like what I’m looking at, I can customize everything from my dashboard to reports to parameters within those reports.
What none of this tells me is how I can be more successful at turning the words I put on the Internet into dollars in my pocket.
Now, I know what you’re thinking: “It’s all there! More information than you could ever figure out what to do with.”
The problem with that is that it’s all there. It’s more information than I could ever figure out what to do with. Read more…
Diversity and manageability are big data watchwords for the next 12 months.
Here are some of the key big data themes I expect to dominate 2013, and of course will be covering in Strata.
Emergence of a big data architecture
The coming year will mark the graduation for many big data pilot projects, as they are put into production. With that comes an understanding of the practical architectures that work. These architectures will identify:
- best of breed tools for different purposes, for instance, Storm for streaming data acquisition
- appropriate roles for relational databases, Hadoop, NoSQL stores and in-memory databases
- how to combine existing data warehouses and analytical databases with Hadoop
Of course, these architectures will be in constant evolution as big data tooling matures and experience is gained.
In parallel, I expect to see increasing understanding of where big data responsibility sits within a company’s org chart. Big data is fundamentally a business problem, and some of the biggest challenges in taking advantage of it lie in the changes required to cross organizational silos and reform decision making.
One to watch: it’s hard to move data, so look for a starring architectural role for HDFS for the foreseeable future. Read more…
O'Reilly conference brings together health care and data
O’Reilly’s first conference devoted to health care, Strata Rx, wrapped up earlier this week. Despite competing with at least three other conferences being held on the same week around the country on various aspects of health care and technology, we drew a crowd that filled the ballroom during keynotes and spent the breaks networking more hungrily than they attacked the (healthy) food provided throughout.
Springing from O’Reilly’s Strata series about the use of data to change business and society, Strata Rx explored many other directions in health care, as a peek at the schedule will show. The keynotes were filmed and will soon appear online. The unique perspectives offered by expert speakers is evident, but what’s hard is making sense of the two days as a whole.
In this article I’ll try to show the underlying threads that tied together the many sessions about data analytics, electronic records, disruption in the health care industry, 21st-century genetics research, patient empowerment, and other themes. The essential message from the leading practitioners at Strata Rx is ultimately that no one in health care (doctors, administrators, researchers, regulators, patients) can practice their discipline in isolation any more. We are all going to have to work together.
We can’t wait for insights from others, expecting researchers to hand us ideal treatment plans or doctors to make oracular judgments. The systems are all interconnected now. And if we want healthy people, not to mention sustainable health care costs, we will have to play our roles in these systems with nuance and sophistication.
But I’ll get to this insight by steps. Let’s look at some major themes of Strata Rx. Read more…
Arijit Sengupta on the benefits of making health care analytics widely accessible within an organization.
Arijit Sengupta presents a summary of his work as the CEO of BeyondCore in the presentation “Advanced Analytics for All: Enabling business users to act on length of stay patterns at a leading hospital system.” This presentation was part of the Strata Rx Online Conference: Personalized Medicine, a preview of O’Reilly’s conference Strata Rx, highlighting the use of data in medical research and delivery.
Sengupta’s vision is to bring analytics to people throughout an organization who can use them in their work. He hopes to bring analytics that have traditionally been available only to those at the top of a large organization down to those making everyday decisions. Users of analytics should not need to know statistics or computer science. In this presentation, he shows how hospital employees can correlate the length of a hospital stay with other variables.
Key points Sengupta’s session include: Read more…
The work of data journalists and a comparison of four data markets.
This week's data news includes a look at the work of various data journalists, Edd Dumbill surveys four data marketplaces, and the MIT Sloan Sports Analytics Conference experiences impressive growth.
Panagiotis Ipeirotis on the vagaries of semantic analysis and Mechanical Turk's quirks.
In a recent interview, NYU Professor Panagiotis Ipeirotis explained why a "good" online review is often perceived negatively. He also discussed Mechanical Turk's growing pains.
Unlike traditional TV analytics, social data tracks both viewership and sentiment.
TV shows broke out of the television years ago, but traditional analytics still focus on limited metrics. PeopleBrowsr CEO Jodee Rich says social data offers a better way to see what audiences watch and what they care about.
Hilary Mason on how Bitly applies the Internet's real-time data.
In this interview, Bitly chief scientist and Strata speaker Hilary Mason discusses the application of real-time data and the difference between analytics and data science.
Opera Solutions' Arnab Gupta says human plus machine always trumps human vs machine.
Managing data and extracting meaning require new approaches, new education, and even a new language. Opera Solutions CEO Arnab Gupta discusses each of these areas in the following interview.
George Siemens on the applications and challenges of education data.
Education theorist George Siemens discusses education data: its current state, how it can shape customized learning, and what lies ahead for education analytics.