Filed under: #mktgcloud, Analytics, Datarati, Predicitive Modelling | Tags: Data Scientists, Kaggle
Kaggle is fast approaching 13,000 data scientists. To help determine who is the best predictive modeler of them all, we invite you to use the comments feed on the Kaggle blog to place your bet on how many data scientists we’ll have by the end of 2011. (According to our chief scientist, Jeremy Howard, a quadratic function fits rather well.
Well done gents!
Filed under: #mktgcloud, Datarati, Predicitive Modelling | Tags: Shilendra Kumar, Woolworths
Some interesting insights from my good friend Shilendra Kumar, Head of Data Mining at Woolworths.
Filed under: #mktgcloud, Actionable Insights, Data, Datarati, Predicitive Modelling | Tags: Convio, Strategic One
Convio has acquired StrategicOne, a provider of analytics, predictive modeling, and database marketing services, for approximately $5 million.
By adding StrategicOne’s capabilities to Convio’s software and service offerings, nonprofits can improve marketing and fundraising results by building stronger relationships with constituents and prospects.
StrategicOne services help nonprofits discover, analyze, and act on information to more effectively attract new constituents, retain existing ones, reactivate lapsed supporters, and steward relationships to higher levels of engagement.
Filed under: #mktgcloud, Datarati, Events, Predicitive Modelling, Sydney Data Miners
On behalf of the entire Sydney Data Miners members, I am please to announce and would like to welcome our new sponsor for 2011, IBM SPSS Predictive Analytics software, part of the IBM Business Analytics portfolio.www.spss.com/au
I look forward to working with their team in delivering top quality presentations for our members throughout 2011.
I am also please to announce our first event for 2011, being held on Monday 24 January at the City Hotel at 5:45PM. With some much discussion on social media data and what to do with it, I thought this topic would be a great one to kick off the year.
As usual, if you have any speaker recommendations, or ideas on how we can improve our group, please don’t hesitate to reach out to me directly on my contact details below.
TOPIC: Your market is talking. Listen. Using analytics on Twitter feeds.
PRESENTATION OUTLINE: Twitter gives us access to what the market is doing, thinking and saying right now. This session will showcase the power of analytics to access, analyse and report on Twitter feeds.
Dev Mookerjee, Senior Consultant, IBM
With over a decade of experience in the area of Business Analytics, Dev Mookerjee is a Senior Consultant within the IBM Business Analytics team in Australia. Dev has helped multiple organisations architect solutions that use enterprise data management, advanced analytics and visualisation technologies to gain clear insights for precise business decision making. Dev’s experience spans across all the major industries and he holds a Masters in IT from the University of Canberra and a MBA from Macquarie University.”
Scott Harrison, Senior Consultant, IBM
Scott Harrison is a Senior Consultant in Business Analytics for IBM SPSS. In this role Scott advises organisations on the business and technology steps required to integrate data mining, predictive and other emerging analytic technologies into their organisation. Scott has worked for many large companies both within Australia and overseas including Foxtel, HSBC, Sainsburys, O2, Orange, CBA & Westpac.
Please forward this to your industry colleagues and have them register for FREE at www.meetup.com/datarati
Filed under: Algorithms, Datarati, Predicitive Modelling | Tags: Kaggle, Predictive Analytics
Kaggle is proud to announce a world first! In-line with the Premier’s State Plan for Open Government, the New South Wales Minister for Roads, David Borger, today announced the first ever predictive modeling competition for government.
The NSW Roads and Traffic Authority (RTA) is offering $10,000 for the algorithm that best predicts travel times on Sydney’s M4 freeway. Two years’ worth of historical data on road use between 2008 and 2010 has been made available for the competition.
The predictive model will be used to enhance the RTA’s recently launched live traffic website that provides information to motorists on incidents and congestion.
Filed under: #mktgcloud, Algorithms, Datarati, Predicitive Modelling | Tags: Data Mining, Predictive Analytics, Video
In this session Neil explores the approach to insight generation through data mining and predictive analytical technologies.
Using real world case studies he covers the ins and outs of data mining analytics on digital data, which types of techniques can be used to solve which kinds of problems and some of the challenges that you will inevitable face along the way. Discover what your data can tell you if you ask it the right questions.
Data Mining Process and Predictive Analytics
In Part I (out of three), Neil discusses the difficulty of extracting signals from all the noise present in the overwhelming quantity of data we deal with nowadays. While we now have tools for free and the cost of collecting data is diminishing, Neil questions: “what do we do with all this data?”
He introduces other tools that can help us to address some of these challenges:
- Data Mining is about discovering things we don’t already know. It is about uncovering patterns and relationships in data that we may not have already thought about.
- Predictive Analytics is using that understanding to think about what might happen in the future; it is about applying those historical patterns to predict those future outcomes.
Neil goes over the Data Mining Process and the steps needed in order to implement it and, more importantly, to get insights out of it:
- Business Understanding: what problem are we trying to solve? What is the business trying to achieve?
- Data Understanding: do we have the data to be able to answer this questions? If not, what is the cost of acquiring that additional information?
- Data Preparation: all data is dirty and needs to be cleaned and transformed. This is the heavy lifting stage.
- Analysis & Modeling: the tools must be chosen based on what the business is trying to understand and the data available.
- Evaluate Outcomes: how well does the model actually works from a statistical point of view (significance) and from a business point of view (actionability)?
- Deployment: driving the insight into the business.
Neil Mason joined Foviance as part of an acquisition of Applied Insights whom he was director and co-founder. With 25 years of in-depth industry experience in marketing analytics and strategy, Neil leads Foviance’s analytical consulting practice.This delivers an enhanced digital marketing analytics capability to both Foviance’s and Applied Insights existing and future clients.
Neil is one of the world’s leading analytics guru’s and he has a big reputation. He holds an MBA from Kingston Business School, a Diploma in Business and Economic Forecasting and currently serves on the Board of Directors of the Web Analytics Association, the global industry body for digital analytics professionals.
Filed under: Algorithms, Analytics, Datarati, Predicitive Modelling | Tags: Data Mining, Predictive Analytics, Visa
If you ever doubted the power of the credit card companies, consider this: Visa, the world’s largest credit card network, can predict how likely you are to get a divorce.
There’s no consumer-protection legislation for that.
Why would Visa care that your marriage is on the rocks? Yale Law School Professor Ian Ayres, who included the Visa example in his book Super Crunchers, says “credit card companies don’t really care about divorce in and of itself—they care whether you’re going to pay your card off.”
And because people who are going through a divorce are more likely to miss payments, your domestic troubles are of great interest to a company that thrives on risk management.