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Archive: June 2013 (Analytics Network)

Thursday, 27 Jun 2013
Sayara Beg

Despite the excitement around data science, big data and analytics, the ambiguity of these terms has led to poor communication between data scientists and organisations seeking their help.

In this report, authors Harlan Harris, Sean Murphy and Marck Valsma examine their survey of serveral hundred data science practioners in mid-2012, when they asked respondents how they viewed their skill, careers and experiences with prospective employers.  The results were striking.

Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets.  Their purpose is to identify a new, more precise vocabulary for data science roles, teams and their career paths.


(special thanks to Nigel Philips for finding this report)

Tuesday, 25 Jun 2013
Sayara Beg

Bright North have just released their latest BI Analytics whitepaper which can be downloaded at

They are looking for feedback on the whitepaper.

What are your thoughts?

Monday, 24 Jun 2013
Sayara Beg

Marketing is a profession in which Big Data and analytics are extensively used. are hosting a webinar in association with IBM on Wednesday 17 July. The IBM speaker is Colin Linsky, Worldwide predictive Analytics Retail leader, and his webinar will cover:

  • Real life examples of applying analytics
  • How to gain actionable insight from disparate data sources
  • The power of predictive analytics
  • How to use analytics to improve marketing ROI
  • How to benefit from predictive analytics without programming or advanced statistical knowledge

If you're interested in registering, or know someone who might, here's the link

Sunday, 23 Jun 2013
Sayara Beg

Data Science

The term could be broken down in to the following processes and steps, in this order:

  1. How to frame the question that needs to be answered?
  2. How to identify the data and the sources of that data, to analyse and to answer the question?
  3. How to locate and capture the data required for analysis?
  4. How to cleanse the data, mash-up the data or conduct 'data-munging', once the data has been located and collected? 
  5. How to identify the right technology to capture and cleanse the data for analysis?
  6. How to choose the right selection of scientific methods to answer the given question and the order in which those scientific methods should be applied [machine learning algorithims included]?
  7. How to identify the appropriate technology to support the scientific analysis to be conducted
  8. How to correctly match the relevant data attributes from the source data, to the relevant parameters of each scientific method being used?
  9. How to interpret and relate the analytical results produced from the various scientific methods, back to the question being asked?
  10. How to visually represent the analytical results to the audience, in order to deliver the answer the original question and what is the best technology to use?

If these ten steps were to define the Laws of Data Science, what governance and standards should be put in place, to support these steps?

Look forward to your comments and suggestions.


Chair of the Analytics Network

Friday, 21 Jun 2013
Gavin Blackett

The aim of this stream is bringing together scholars and practitioners interested in Business Analytics Optimisation to address current developments and challenges to organize, store, manage, protect, analyse, mine and optimise Big Data, and to benefit society, industry, academia, and government.

Major topics include but not limited to: analytics techniques in Practice; managing Big Data,; architectures for massively parallel processing; Big Data mining tools and techniques; machine learning algorithms for Big Data, algorithms and systems for Big Data search, visualization analytics for Big Data, software / algorithms to support any aspect of Big Data computation, large-scale modelling for social media, and optimisation modelling for Big Data.

Early bird discounts ends 30th June.  Click here for more details

Tuesday, 18 Jun 2013
Sayara Beg

Much has been said about how being a 'Data Scientist' is the sexiest job title ever and that it's the hottest job demand out there, with very little supply to fill the jobs.  So where are these jobs and what are the employer's looking for.

Post here if you have a job for a Data Scientist and lets us know what you skills and experience you are looking for in that role. 

Don't forget to include location of role and how to apply or contact you for further details.


Chair of the Analytics Network

Monday, 17 Jun 2013
Gavin Blackett

I was thinking about Sanjit Atwal's session at the  Developments in Analytics and Big Data – Adding Value seminar on 12th June,  As you recall, Sanjit is CEO of Squawka who deliver 2nd screen analytics in near real-time to football fans whils they are watching a game.  The technology used by Squawka and the analysis and insight it gave to supporters was impressive but it raised a series of questions about the potential implications for organisations:

  • will users want near real-time analytics in their work environment if they are used to it in their personal life?
  • does this present a great opportunity or great challenge to meet those user expectations?  A lot of organisations are still struggling to reach base level in reporting (think of the month end financial reporting process)
  • is (near) real-time reporting really required in a business context?  Obviously there are operational situations where real-time is required but does the majority of analytics actually require real-time?


Friday, 14 Jun 2013
Sayara Beg

Welcome to the Analytics Network 2013

As the new Chair of the Analytics Network, I am excited about what the future holds for our member 'Networkers'.

After a wonderful event on the 12th June 2013 at the fabulous location 'The Institute of Engineering and Technology', the Analytics Network committee and I are working hard to put together an impressive programme of events and socials over the coming months to keep you busy and involved.

Firstly, pencil in your diary the date: October 17th 2013; 4pm to 8pm.  This will be the next event, held at the London South Bank University.  We are particularly excited about this event, as we have decided to be bold and ambitious, and attempt to stream it live, so our pre-registered distant 'Networkers' can join in to.  Look out for more details.

To boldly go.....


Chair of the Analytics Network


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