Data Blogs | Information From Enterprise Leaders

Traversal of Data Models

Michael Blaha

by Michael Blaha Developers routinely use data models for defining database structure. This is beneficial, but it uses only part of data modeling’s power. Data models not only capture data structure, but they also express the potential for computation. Traversals of models can provide blueprints for resolving use cases, phrasing SQL queries, and assessing quality.…

Deep Learning Lives and Dies By Dimensionality Reduction

James Kobielus 2

by James Kobielus We don’t live in a simple binary world or one where everything of interest can be calculated on our fingers and toes. Hence, humans have invented the higher mathematics to bridge between the numbers we understand organically and the complex numerical relationships too abstract to explain in simple terms. In other words,…

Do Your Customers Hide Their Data?

Martin Doyle

by Martin Doyle Personal data has an image problem. People are increasingly wary of handing over their details to websites – particularly when they have no intention to engage long term. Many marketers set out to obtain email addresses, yet do very little to ensure the email addresses they get are valid. This is the…

Tales from the Privacy “Front Lines”

cathy nolan new

by Cathy Nolan I’ve been giving presentations on Personal Data Privacy and listening to stories from the people who attend. I thought I might share a few very real stories about what can happen if you are not vigilant about guarding your personal data. A DAMA member was on vacation and bought tickets for a…

Presenting Data Models

Michael Blaha

by Michael Blaha So you have prepared a data model. You’re proud of your work. Now how do you explain the model to others? You want them to understand your work and you want their feedback. We can think of three techniques for presenting data models. Use a Data Modeling Tool An obvious approach is…

May 2015 DATAVERSITY Letter from the Editor

Letter from the Editor

A month has passed since our first conference of the year (read EDW review here and CDO review here), and we’re as busy as ever getting ready for our next set of educational events. Early bird prices end today for our Data Governance and Information Quality Conference held in San Diego, California June 8-12, 2015.…

Debunking the Myths around Cognitive Computing

James Kobielus 2

by James Kobielus I think we’ve already grown weary of yet another discussion of the myths around big data. Though I doubt that cognitive computing—which obviously builds on big data—has its own special myth pantheon, so far, that day is probably fast approaching. Myths sprout when a paradigm catches hold faster in the popular imagination—for…

Are Data Scientist Salaries Sustainable

Jonathan Buckley

by Jonathan Buckley If there’s one hot job that’s worth paying attention to in the year 2015 and beyond, it’s that of data scientist. Big data has become an indispensable ingredient in company success, and the data scientist is a large part of making that happen. It’s been called the sexiest job of the 21st…

Analytics and Data Stories: From Fantasy to Non-Fiction

Kimberly Nevala

by Kimberly Nevala During our recent session on data storytelling a question was posed: Can storytelling be applied at the first stage of the analytic process? Specifically, when a working hypothesis is initially formed and before hard data is well in hand. The answer is yes. Storytelling can and should be applied throughout the analytic…