Advanced Analytics in Audit

Wednesday October 19th, 2016

I am fortunate enough to be on a voyage of discovery in the world of analytics courtesy of Teradata. When I joined Teradata nearly 18 months ago I had a good grasp of how analytics were used in IT audit and had used these regularly in engagements. I was even fortunate enough to have a… 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 »

Machine Learning and the colours of Haute Couture…

Wednesday October 5th, 2016

Machine Learning and Haute Couture may not be what you expect to hear in the same sentence. But can Machine Learning help the creative side of fashion? There are plenty of examples where machine learning is applied within fashion retailing to do predictive stock assortments, trend forecasting and much more, but I was interested in… Read More »

Understanding Your Customer’s Journey

Tuesday September 27th, 2016

Many of my recent discussions on the role of analytics in achieving business outcomes have been focussed on the customer and how companies can use analytics to better understand the unique set of interactions and transactions that make up the customer journey. Designer Shoe Warehouse (DSW), a leading shoe retailer in the US connects with… Read More »

Why segment customers in a Big Data world?

Monday September 19th, 2016

Gary Comer, founder of mail order clothing retailer Lands’ End, once said “Think one customer at a time and take care of each one the best way you can”. The only way to implement this in the early 1960s, in the days of limited data and computing power, was to segment consumers into subsets with… Read More »

Hey! Are Your Colleagues Cheating The Business?

Wednesday September 14th, 2016

If your organisation is ignoring its Big Data potential, your colleagues are cheating the business because data-driven companies get a much higher return on investment than their competitors. Fact. And the key to maximising your data potential also happens to be the fourth ‘V’ in Big Data; ‘Value’. Or rather, ‘Value’ spliced with ‘Time-to-Market’. Now,… Read More »

How about trying complex Data Analytics Solutions for size and fit, before you splash the cash?

Tuesday September 13th, 2016

The pressure to deliver Alpha – potential above the market average – is immense. And that’s not surprising because in a quick-change disruptive world, Alpha consistency puts an organisation at the sharp edge of its digitally-driven market. If it can be done quickly, that is. One of the biggest stumbling blocks to creating breakthrough insights… Read More »

DevOps Decoded: Modular Design

Monday September 12th, 2016

I have been reading and thinking a lot about DevOps recently, specifically in the area of development/test/deployment automation and how it would be best applied to building analytic solutions. Like metadata, I believe DevOps is coming into its prime, with the advancements in open source and resurgence in programming combining to provide all of the… Read More »

Analyzing your analytics

Thursday September 8th, 2016

‘Eat your own dog food’ and ‘practice what you preach’. I love these sayings and I strongly support the idea behind them. If you believe in something, prove it. In the world of data and analytics, we’ve been able to ignore this wisdom for a long time. The time for change has come though! We… Read More »

Siemens Sinalytics – Keeping The Customer Satisfied

Wednesday September 7th, 2016

Don’t wait for a failure and then fix it. Predict the failure and then prevent it. This was the key message I took away from the keynote address given by Dr. Norbert Gaus from Siemens, at the Teradata Universe conference, Hamburg. He was talking about the company’s Sinalytics program, which they use to provide analytics… Read More »