Clinical Data Analytics – Loss of Innocence (Predictive Analytics) in a Large High Dimensional Semantic Data Lake

From Dr. Barry Robson’s notes:- Is Data Analysis Particularly Difficult in Biomedicine? Looking for a single strand of evidence in billions of possible semantic multiple combinations by Machine Learning Of all disciplines, it almost seems that it is clinical genomics, proteomics, and their kin, which are particularly hard on the data-analytic part of science. Is […]

Evidence based Medicine driven by Inferential Statistics – Hyperbolic Dirac Net

http://sociology.about.com/od/Statistics/a/Introduction-To-Statistics.htm From above link Descriptive Statistics (A quantitative summary) Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that […]

Architect Your Predictive Analytics Capability To Unleash The Power Of Digital Business

Predictive analytics has become the key to helping businesses — especially those in the highly dynamic Chinese market — create differentiated, individualized customer experiences and make better decisions. Enterprise architecture professionals must t…

Architect Your Predictive Analytics Capability To Unleash The Power Of Digital Business

Predictive analytics has become the key to helping businesses — especially those in the highly dynamic Chinese market — create differentiated, individualized customer experiences and make better decisions. Enterprise architecture professionals must t…

Driving Digital Transformation Using Enterprise Architecture

By Sunil Kr. Singh, Senior Architecture and Digital Consultant at TATA Consultancy Services Driving Digital Transformation Using Enterprise Architecture as a Problem Solving Tool Set If I start talking to an audience and start with, “Enterprise Architecture is required for … Continue reading

How Bad Data Management Kills Revenue

I’m not one to normally publicly gripe on a vendor, but a recent customer experience with an online purchase is a great example of why organizations can’t ignore data management investments.

I have been a regular user of a note-taking app for several years. All my discussions with clients, vendors, and even notes from conferences wind up here. I put in pictures, screen shots, upload presentations, and capture web pages. So it isn’t a surprise that this note-taking vendor wants to move me up into a premium version. And for $50 a year, it’s not a big deal for me to do even if it just means I’m paying for more space rather than using all the features in the premium package.

So, this morning, I click the upgrade button and voila! My order is taken and shows up in my iTunes account order history.

As this app is web-, desktop-, and device-based and the vendor is born out of the app age, the expectation is that my account status should just automatically convert. I mean, every other business app I have does this. Why shouldn’t this one?

As it turns out, my purchased premium service is nowhere to be found. To get immediate support, as only offered in premium service, you need to be able to log in as a premium customer. So instead of an easy and quick fix, I spend over an hour trying to get answers through a support site that shows the issue but an answer that doesn’t work. I also see that this is an issue going back for over a year. I try entering in my issue through “contact us” only to find that I get routed back to the support forum and can’t even log a ticket. I find an obscure post where the vendor’s Twitter handle for support is listed and fire off a frustrated tweet (which goes out to my followers as well, which I’m assuming is not something this vendor would prefer).

So let’s break down the data management issue:

Read more

How Bad Data Management Kills Revenue

Not one to normally publically gripe on a vendor, but a recent customer experience with an online purchase is a great example of why organizations can’t ignore data management investments.

I have been a regular user of a note taking app for several years. All my dicussions with clients, vendors, and even notes from conferences wind up here. I put in pictures, screen shots, upload presentations, and capture web pages. So, it isn’t a surprise that this note taking vendor wants to move me up intp a premium version. And, for $50 a year, it’s not a big deal for me to do even if it just means I’m paying for more space rather than using all the features in the premium package.

So, this morning, I click the upgrade button and viola! My order is taken and shows up in my iTunes account order history.

As this app is web, desktop, and device based and the vendor is born out of the app age, the expectation is that my account status should just automatically convert. I mean, every other business app I have does this. Why shouldn’t this one?

As it turns out, my purchased premium service is no where to be found. To get immediate support, as only offered in premium service, you need to be able to log in as a premium customer. So, instead of an easy and quick fix, I spend over an hour trying to get answers through a support site that shows the issue but an answer that doesn’t work. I also see that this is an issue going back over a year. I try entering in my issue through “contact us” only to find that I get routed back to the support forum and can’t even log a ticket. I find an obscure post where the vendor’s Twitter handle for support is listed and fire off a frustrated Tweet (which goes out to my followers as well which I’m assuming is not something this vendor would prefer).

So let’s break down the data management issue:

Read more

Dynamic Data in REST

I had an interesting conversation with some colleagues around resource design that I thought would be helpful to share.  The starting point was a simple question: Should price generation be a HTTP POST or HTTP GET? There’s solid reasoning for either of them.  Let’s start with HTTP GET. From a consumer’s perspective, a GET probably […]