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April 2017
Running a successful data mining project – an introduction to the CRISP DM methodology
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 »June 2018
Running a successful data mining project – an introduction to the CRISP DM methodology
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 »April 2019
Effective deployment and use of predictive models
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…
Find out more »September 2019
Running a successful data mining project – an introduction to the CRISP DM methodology
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 »February 2020
Applying predictive analytics in the real world
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…
Find out more »November 2020
Planning successful analytics projects
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 »May 2021
Planning successful analytics projects
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 »November 2021
Planning successful analytics projects
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 »