Definition of Predictive Analytics

What does is it mean and how is it used

What is Predictive Analytics? 

Predictive analytics is a form of advanced analytics, used to make predictions about unknown future events.  This is done in several ways – from data mining, statistics, modeling, machine learning to the next generation of artificial intelligence

Why use Predictive Analytics?

Every organization would love to know their customers better so the prospect of being able to predict their behaviour before they do is a marketeer’s dream. But it’s not just customer behaviour – being able to predict the outcome of business-critical functions can offer enormous competitive advantage to organizations where costs, efficiency drives and margins are crucial.

Latest Predictive Analytics Insights

Making predictive analytics predictively valuable

Today’s most outstanding organisations can see the future. But predictive analytics is far less about architecting a whole new approach, it rather unlocks value from existing data sources.

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Data analytics is helping retailers find long term success

A fundamental and sudden shift took place in the retail landscape across Europe in the last few years. Data analytics is already embedded at the heart of most retailers to be able to adapt to the changing customer requirements.

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Predictive analytics: Anticipating who will click, buy or go elsewhere

Predict tomorrow’s success and be at top of the game with Predictive Analytics. Once an organization puts data at the heart of its business functions leveraging from historical data it can denote the probability of future results.

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Interested in learning more?
