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DTSTART;TZID=UTC:20181213T100000
DTEND;TZID=UTC:20181213T143000
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CREATED:20170405T123624Z
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UID:8430-1544695200-1544711400@www.sv-europe.com
SUMMARY:Applying predictive analytics in the real world
DESCRIPTION: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. \nBusiness intelligence helps organisations learn about the past but predictive analytics delivers something beyond this – actionable\, forward-looking predictions as to how each customer will behave. These predictions encompass all channels\, both online and off\, foreseeing which customers are most likely to buy\, click\, respond\, convert or cancel. \nUsing these predictions or models allows organisations like yours to deliver more relevant content to each customer\, improve campaign response rates\, raise click rates\, understand buying behaviour\, improve customer retention rates and\, ultimately\, to grow profit. Deployed back to the business in real-time these results can make a difference in every single customer interaction. \nDuring the event we will cover:\nAn introduction to predictive analytics \n\nWhat is it?\nWho does it?\nHow is it most often applied in businesses?\n\nHow to execute a predictive analytics project \n\nWhere to start\nWhat you will need\nThe best methodology to use\n\nDetails of the main techniques \n\nClassification – grouping similar people or events\nContinuous value prediction – predicting a type or an outcome\nForecasting – predicting what will happen next\n\nA ‘Cheat sheet’ review of common predictive terminology \n\nTime-series forecasting\nDecision trees\nCluster analysis\nRegression \nNeural networks\n\nCustomer examples \n\nCase studies of projects both large and small\nResults and outcomes\n\nAt the end of the event there will be an opportunity for networking and discussion over lunch. \nWho should attend?\nNo background in statistics or modelling is required – in fact this course is designed for those who have heard about predictive or advanced analytics and who want to learn more about the capabilities\, possibilities and opportunities but are not themselves statisticians or analysts. \nExecutives and senior managers: project leaders\, directors\, vice presidents and decision makers of any kind. \nMarketers: direct marketers\, response modellers or online marketers who wish to better understand analytic practices. \nTechnology Experts: business intelligence managers\, DBAs\, data warehousing and web teams who wish to extend their expertise to predictive analytics.
URL:https://www.sv-europe.com/event/applying-predictive-analytics-in-the-real-world-12-2-2-2-2-2/
LOCATION:One Great George Street\, Westminster \, London\, SW1P 3AA
CATEGORIES:IBM SPSS Modeler,SAS
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