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April 2017

Running a successful data mining project – an introduction to the CRISP DM methodology

28 April 2017 @ 3:00 pm - 4:00 pm

When you’re starting out in data mining or predictive analytics it’s all to easy just to jump straight in and hope for the best, but projects approached in this way commonly fail. To maximize your chances of success, you need to apply a structured project management methodology to your data mining plan. The most commonly used such methodology is CRISP DM (cross industry process for data mining). The CRISP DM approach is widely used, robust and well-proven as well as…

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June 2018

Running a successful data mining project – an introduction to the CRISP DM methodology

7 June 2018 @ 3:00 pm - 4:00 pm

When you’re starting out in data mining or predictive analytics it’s all to easy just to jump straight in and hope for the best, but projects approached in this way commonly fail. To maximize your chances of success, you need to apply a structured project management methodology to your data mining plan. The most commonly used such methodology is CRISP DM (cross industry process for data mining). The CRISP DM approach is widely used, robust and well-proven as well as…

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April 2019

Effective deployment and use of predictive models

29 April 2019 @ 10:00 am - 11:00 am

This webinar will focus on how businesses and organisations that are already using some degree of advanced analysis and modelling can ensure that the insight and prediction derived from those efforts can actually be used to support effective decision-making in their day to day business operations. In many respects the actual development of a predictive model is not the most challenging element of predictive analytics. The deployment of developed models can be a far more demanding challenge. Add to that the…

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September 2019

Running a successful data mining project – an introduction to the CRISP DM methodology

23 September 2019 @ 3:00 pm - 4:00 pm

When you’re starting out in data mining or predictive analytics it’s all to easy just to jump straight in and hope for the best, but projects approached in this way commonly fail. To maximize your chances of success, you need to apply a structured project management methodology to your data mining plan. The most commonly used such methodology is CRISP DM (cross industry process for data mining). The CRISP DM approach is widely used, robust and well-proven as well as…

Find out more »

January 2020

Planning successful analytics projects

January 30 @ 10:00 am - 11:00 am

It is a rarely acknowledged fact that an uncomfortably large proportion of predictive analytics initiatives fail to make any impact in the real world. In this webinar we will draw on the hard-won experiences of industry professionals to examine precisely what drives success or failure in predictive analytics. Using the CRISP-DM framework, the session will focus on the practical aspects of planning for successful outcomes including: Choosing useful project objectives Insight vs accuracy Establishing what a successful outcome actually means…

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February 2020

Applying predictive analytics in the real world

February 27 @ 10:00 am - 2:30 pm
One Great George Street, Westminster
London, SW1P 3AA
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£150

There's a lot of talk about predictive analytics and big data at the moment but in amongst the hype how can you learn what it really means for you?  Join this half day briefing session with like-minded individuals to gain a solid grounding and education on the terminology of advanced analytics, what’s possible and what to consider as you think about how predictive analytics could be benefiting your organisation. Business intelligence helps organisations learn about the past but predictive analytics delivers something beyond…

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July 2020

Planning successful analytics projects

July 2 @ 2:30 pm - 3:30 pm

It is a rarely acknowledged fact that an uncomfortably large proportion of predictive analytics initiatives fail to make any impact in the real world. In this webinar we will draw on the hard-won experiences of industry professionals to examine precisely what drives success or failure in predictive analytics. Using the CRISP-DM framework, the session will focus on the practical aspects of planning for successful outcomes including: Choosing useful project objectives Insight vs accuracy Establishing what a successful outcome actually means…

Find out more »
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