Descrição
Descrição:
PREDICTIVE ANALYTICS
This course gives you an understanding of the application of predictive analytics in your field of interest /domain. As you learn the tools (machine learning, statistics e.t.c) its important to understand the application part. Whether you are a manager, newbie, enthusiast, data scientist or a machine learning professional, this course will bring more light on how you can apply predictive analytics in your domain.
PREDICTIVE CUSTOMER ANALYTICS
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Analyzing customer behaviour
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From focusing on segments to focusing on the individual customer
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This has been made possible through technological advancement & data mining tools
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At the highest level of using customer data is predicting customer behaviour
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Why? Lots of data: social media, transaction history, demographic data, e.t.c
PREDICTIVE FRAUD ANALYTICS
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Using predictive analytics in fraud detection & prevention
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Move from detecting fraud after we have already made a loss to detecting fraud behaviour and thus prevent it from happening.
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With tech, we’re trying to go into improving UX & UI such as fewer authentications but that comes with gaps for digital fraud hence the need for predictive fraud analytics.
PREDICTIVE HR ANALYTICS
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We are moving to a data-driven HR function
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Why? HR collects lots of data that can be used ( demographics, salary history, empl history, promotions data, churn data e.t.c )
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Moving from depiction HR dep as a cost function to a strategic partner in the business.
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Decisions like attracting, retaining and managing talent can be backed with data and to add more applying predictive analytics in those decisions.
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