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Riding the Unicorn – Aligning Technology, Data & Analytics Strategies
Now that I’ve got the customary ‘unicorn’ reference out of the way in the title, down to the serious matter of discussing why, given that it’s so gosh-darned important, we seem to repeat the same mistakes when it comes to Technology, Data & Analytics.
Anthony Jozefek
17th December 2015
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How to increase the ROI of a data warehouse
Data warehouse projects are expensive!
Ed Thewlis
2nd December 2015
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“If we’d written this in Python we’d be done by now”
I’d never really had a ‘programming language of choice’. My first languages were SML and C; I wrote my final year project at University (badly) in Prolog; my first paying job was coding in Progress 4GL and I finally ended up writing predominantly in Java.
rogercoram
2nd December 2015
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Big Data V’s what are they & how can you use them to formulate a strategy?
Anyone who has ever done any kind of business related course will have heard of the 4 (or 7) p’s of marketing. Product, Place, Price, Promotion
annasutton
2nd December 2015
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5 useful developer hacks to know about Docker…
Docker is fast becoming the architectural building block for any microservice based strategy with a clear focus on ‘do one thing and do it well’.
lewiscrawford
18th November 2015
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Getting to grips with Apache Spark…
After its first stable release last year, Apache Spark was one of those things that seemed to get mentioned a lot by colleagues but no one was actually using it (see also: Apache Storm). After finally getting to grips with it, it’s been an oddly mixed experience.
rogercoram
10th November 2015
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What is Docker?
Isolation and layers. Two simple architectural principles interwoven to provide one of the great paradigm shifts of our computing generation.
lewiscrawford
2nd October 2015
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Why bother with data visualisation?
Sometimes, the visualisation can be something as simple as a chart, showing how a measure has changed over time. Other times, it can be as complex as those created by Mike Bostock of the New York Times and the creator of d3.
Ed Thewlis
25th August 2015
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Single Customer View – why?
The concept of a Single Customer View has been around for ages, but if you google the term you get inundated by numerous articles spelling out how painful it can be to get there – but what actually does it mean?
annasutton
17th July 2015
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Do I make the pipe bigger, or buy more pipes?
Scale up vs scale out is a pretty standard conundrum nowadays - particularly with the advent of distributed compute models such as Hadoop. A few years ago, the standard approach in the Business Intelligence & data management world was simply to throw more hardware at it.
Ed Thewlis
2nd February 2015
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Data Rant. Warning…
Personally, as a consumer, I am FED UP (yes shouty capitals) of shoddy data practices. As if moving house isn't stressful enough without having to speak to your bank 3 times to explain that, Yes, please, I'd like my new credit card to be actually sent to the same new address that my statements were updated to 2 months ago.
annasutton
25th November 2014
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Big Data & Retail
Retailers have it pretty tough when it comes to getting insight on their customers. Understanding footfall and who is actually buying your products is the Holy Grail of retail, and the motivation behind huge budget expenditure on loyalty cards and programs.
annasutton
23rd October 2014
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We are data scientist
I was reading an interesting article today on the skills required to be a 'Data Scientist'... All very interesting!
Ed Thewlis
5th September 2014
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Definitions…
...data definitions are tough... but you can't live without them. They are probably the single biggest problem we come up against time and time again. It’s also the main complication when publishing numbers to ensure that everyone is (as my old director used to say) comparing apples with apples…
annasutton
29th August 2014
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17th December 2015
We Love Data
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