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ADVANCED ANALYTICS
Our approach is centered on honing in on specific enhancement areas. We then spend time together focusing on identifying impactful use cases which drives true value for the business.
Pinpoint a case for change – In most cases the key to successful advanced analytics initiatives sits with fundamentally identifying an optimal use case to deliver outcomes based results . We, therefore, focus on delivering outcomes and formulating a strong business case which will support your investment.
Implement the initiative – We aim to rapidly develop, evaluate the outcomes, and re-design our approach in every data science and analytics initiative.
Delivering initiative results – Delivering meaningful insights that are aimed at increasing profits, cutting costs or improving organisations efficiencies are our core focus.
Why is Advanced Analytics important?
The process provides deeper, more advanced insight into patterns, trends and themes that may be hidden within your data. This allows businesses to predetermine possible future outcomes and reduce risk.
The methods that make up the advanced analytics are:
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Data mining - "knowledge discovery within databases"
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Predictive analytics - "what happened, why it happened"
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Prescriptive analytics - "what happens next or possible actionable steps"
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Big data analytics - most big data is actually unstructured, meaning it cannot be processed and analysed using conventional methods. This data is things like images, videos, audio files, social media posts, and other multimedia
Proven Use Cases:
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Forensic investigations (fraud detection)
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Quality control
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Demand driven material requirements planning (DDMRP)
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Product or Service Cross- and Up Selling
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Predictive maintenance management
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Customer targeting and churn
Some of our other incredible services
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