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Advanced Analytics
When advanced analytics are added to your landscape, predictions and prescriptions for future action are possible and can even be automated.
Advanced Analytics
Predict, detect and recommend
Advanced analytics can be used for a variety of business contexts, from discovering new opportunities to forecasting trends. It goes beyond traditional intelligence, uncovering that extra insight you need to make more advanced decisions.
360-degree customer view
Cross-sell and upsell opportunities
Fraud detection
Footfall by geographic space
Churn prediction and customer acquisition
Personalised retail experience
Smart cities
Real-time recommendations
Predictive maintenance
Predictive analytics
Predict behavior and improve engagement.
Simulation
Predict what can or what will happen as a result of decisions.
Optimisation
Achieve maximum value with your actions.
Anomaly detection
Identify rare data points, events and observations.
What will happen next if customers continue to purchase as they have in the past?
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What is the likely impact of weather predictions on energy demand?
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How will a new pricing strategy impact customer loyalty and market penetration?
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How can we achieve the best loading plan for a truck?
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How can we use sensor data to maintain the humidity level in a greenhouse?
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What are the best research projects to invest in to maximise profits in the next 12 months?
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September 7, 2020
Scenario forecasting proves crucial for award-winning childcare provider
BestStart was founded in Tauranga and has since grown to over 260 early learning and childcare centres across New Zealand...