Tag Archives: teradata

Is your DbFit?

Wednesday December 7th, 2016

In my previous blog I talked about modular design enabling continuous integration and automated testing through to delivery. Many customers I have worked with find the immediate challenge is how to do the testing, especially as it applies to a data warehouse or lake. In this blog I will look at how to setup simple,… Read More »

Managed Cloud – Offering Real Business Benefits for Organisations Globally

Friday November 18th, 2016

Managed Cloud – Offering Real Business Benefits for Organisations Globally Cloud is rapidly becoming the standard way of doing business and organisations globally are utilising it as a tool for innovation and business transformation. Those who successfully use the cloud to achieve growth will have a mature, strategic view of how best to implement and… Read More »

The value of predictive models

Monday October 31st, 2016

How to correctly apply a predictive model Today, we are sitting on tons of data and with every new day comes even more data to add to this already exhaustive pile. This data contains lots of information which is immensely valuable not only for organisations, but also for the general public. A commonly used method… Read More »

Hadoop, utilities and that pesky bandwagon

Wednesday October 12th, 2016

A colleague of mine recently asked for help in a workshop with a major global utility customer. As part of his preamble, he described the utility as being in the “trough of disillusionment” phase with their Hadoop implementation. I wasn’t surprised. Now let’s be clear: this isn’t a Hadoop-bashing blog. Teradata has great relationships with… Read More »

The current state of Predictive Analytics

Monday July 11th, 2016

During last Strata conference in London I had the pleasure to share some thoughts on the current state and the challenges of predictive analytics with Jenn Webb, O’Reilly Radar’s managing editor for Design, Hardware, Data, Business, and Emerging Tech spaces.  We touched on a number of subjects related to Data Science, Machine Learning and their applications:… Read More »

To JSON or not to XML, that is the question!

Monday February 15th, 2016

In today’s broad and diverse analytics environment, being able to work effectively with multi-structured data is the key to unlocking new value and insights.  In an ideal world we would be able to direct data assets onto the best platform and tools available to process it, perform our analysis and deliver the insights to exactly… Read More »

How Analytics is Leveling the Playing Field for the Consumer

Wednesday December 3rd, 2014

At a recent business breakfast I was discussing future trends in data analysis with a senior member of the analytics team in a major financial services institution.  The conversation turned to how companies can make their data “work harder”. My interlocutor mentioned that his wife spent (what appeared to him to be) an inordinate amount… Read More »