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CRISP-DM V’s Agile – The Face Off

I have been developing Advanced Analytics models for nearly 20 years, covering areas from Credit Risk to Customer Intelligence to Fraud Detection. Over that time, I have used the CRISP-DM project management framework time and time again and it has never failed me. In recent times I have worked with a number of clients who [...]

By |2019-10-31T09:45:49+00:00October 31st, 2019|Analytics, Applications, Industry, Predictive Analytics|0 Comments

Series: How to Foster a Data-Driven Organisational Culture. Post 1 of 5.

Welcome to 'How to Foster a Data-Driven Organisational Culture'. Post 1 of 5. Perhaps you’re someone who has been tasked with building an analytics function or starting an analytics project.  Maybe you’re already an analytics champion but you’re struggling to weave the value of analytics into the strategic decisions of the organisation.  If so, you’re [...]

By |2018-07-11T16:12:32+00:00February 19th, 2018|Analytics, Business|0 Comments

Meet the new SAS, same as the old SAS?

I was delighted to attend and present at SAS Forum UK 2017 in Birmingham yesterday. The event started with a vision of an IOT and analytics enabled future spread across a 15 metre wide screen and spanned two days full of talks, demos, discussions, competitions, awards, and pick 'n mix! One thing that stood out [...]

By |2018-07-11T16:12:32+00:00September 27th, 2017|Analytics|0 Comments

New Generation Education: SAS Training That Just Works

Business Manager: So, the training went well for you? Data Analyst: Great. We did SAS code, segmentation, neural networks, everything. Business Manager: So which of our customers might we lose? Data Analyst: Well ... I didn't learn how to import our data. Sometimes it's difficult to take techniques you learn in a classroom setting and [...]

By |2018-07-11T16:12:33+00:00June 8th, 2017|Analytics, Big Data, Business|0 Comments

SAS Institute and The Analytics Store Join Forces to Work with Organizations to Build In-house Analytics Capabilities

LinkedIn’s recent analysis of the Global Top Skills of 2016 revealed that statistical analysis and data mining was the #2 most demanded skill by Irish employers last year. To meet this demand for analytics and data science talent, SAS Institute and The Analytics Store are joining forces to work with organizations who want to build [...]

Machine Learning for Data Enrichment

Most of the time when we talk about machine learning projects we talk about building predictive models that generate insights that directly help someone to make a decision - for example using churn prediction to identify the customers that a retention team should contact, using fraud detection to decide which cases to investigate, or using [...]

6 Nations Bonus Points: What does the data say?

In 2017 bonus points will be awarded for the first time in the 6 Nations rugby tournament. The motivation behind this is to encourage attacking rugby by rewarding teams (winning or losing) that score multiple tries and losing teams that stay close to their opponents. We wondered if this new system would have made a [...]

By |2018-07-11T16:12:33+00:00February 23rd, 2017|Analytics, Sabremetrics, Tools & Techniques|0 Comments

Analytics is a Team Sport

I was recently at the Predict Conference in Dublin and one phrase that I heard that really resonated with me is "analytics is a team sport". One of the key focuses of The Analytics Store is to work with companies to grow in-house analytics capabilities. It is key to remember that without a skilled team [...]

By |2018-07-11T16:12:33+00:00January 11th, 2017|Analytics, Business, Industry|0 Comments

12 Days of Data Analytics: Day 11 – Christmas Podcasts Ahoy

Here at The Analytics Store we have been big fans of the What's the Point? podcast from fivethirtyeight for a long time. We're big fans of the broad coverage of data analytics and what people do with it, rather than a narrow focus on details of data analytics techniques. Since hearing that (as they said [...]

By |2018-07-11T16:12:34+00:00December 22nd, 2016|Analytics, Business, DataViz, Industry, Machine Learning|0 Comments
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