The application of Predictron Labs covers all areas of data mining and data science with specific focus on large scale model management and real time scoring scenarios.
Marketing optimization
Marketing analytics and optimisation solutions enable you to integrate and analyse disparate datasets to fully exploit the potential of your data real estate, unlock deep-dive insights and achieve high performance predictive personalisation. Predictron Labs empowers the business user (not just the analyst) to answer complex questions faster and focus on key marketing outcomes with benefits realisation without worrying about the underlying modelling architecture. Some specific use cases include:Clickstream Analysis
Track, analyse and visualise visitor data to your website and discover new insights to optimise the user experience and improve purchase conversion.Campaign Optimization
Make the most of your marketing spend and optimise the effectiveness of your campaigns and customer interactions across multiple channels through targeted offers and preferential customer engagements.Customer Churn and Retention
Identify the early triggers of customer attrition – either voluntary or involuntary and prioritise prevention or retention strategies using advanced propensity modelling to improve outcomes.Customer Segmentation & Targeting:
Uncover behavioural micro-segments beyond the traditional demographics by discovering patterns, interactions and relationships within your dataset for improved customer targeting.Lifetime Value Analysis:
Improve customer acquisition and relationship management by using our machine learning algorithm to identify your best customers and ideal prospects in terms of their profitability and cost-to-serve.Creating custom product recommendations / Identifying cross or up-sell opportunities
Generate consumer segments with similar behavior to target consumers in real time with relevant product offers and improve cross-sell based on usage patterns.
Information Security and Risk Management
The assessment and management of information security risks become more and more common. By applying machine learning algorithms on activity logs increase awarness and reduce risk. Typical use cases are:Security Information and Event Management (SIEM)
Analyze and correlate large amounts of real-time data from network and security devices to predict external and internal security threats, improve incident response time and compliance reporting.Application Log Monitoring
Improve analysis of application log data to better manage system resource utilization, security issues, and diagnose and preempt production application problems.Network Intrusion Detection
Monitor and analyze network traffic to detect, identify, and report on suspicious activity or intruders.Fraud Detection
Use pattern/anomaly recognition on larger volumes and variety of data to detect and prevent fraudulent activities by external or internal parties.Risk Modeling
Improve risk assessment and associated scoring by building sophisticated machine learning models that can take into account hundreds or even thousands of indicators.
Financial Services Use Cases
With Predictron Labs, financial services organisations can build, validate and deploy advanced predictive models to make better decisions, manage risk and improve regulatory compliance. Our top-rate platform is designed to help banks and insurance companies mitigate losses and deliver high-performance analytics in a fast-changing and increasingly complex business environment. Some specific use cases include:Fraud Detection
Improve your compliance with real-time monitoring of transactions using models to flag outliers against ‘base case’ transaction scenarios. Update your prediction models with new scenarios, business rules and exceptions to improve detection accuracy and significantly reduce false triggers and all other associated compliance costs.Credit risk evaluation
Build and deploy better risk models using sophisticated machine learning algorithms that can take into account hundreds or even thousands of indicators to better improve your risk assessment and credit scorecards.Claims Analytics
Our sophisticated machine learning algorithm minimises false positives in your claims management process, delivers better prediction accuracy and achieves superior performance in terms of maximising the value of your claims data.Pricing and Underwriting
Reduce your premium losses and other revenue leakages by leveraging our precision pricing and underwriting analytics solution, which empowers you to retain and target customers with competitively priced rates.Operational Intelligence
Our platform provides you with a performance improvement engine that transforms your raw operational data into a hub of productivity and innovation. Our solution allows you explore and experiment with improved agility and better predict future outcomes for improved resource allocation and efficiency gains. Some specific use cases include:Assembly Line Quality Assurance
Take measurements of work-in-progress products to find manufacturing defects before they actually happens, while also identifying any potential process or design flaws. Since defects are typically the result of many factors, analyzing long histories of assembly line sensor data can find subtle anomalies that signify product flaws.Preventive Maintenance
Monitor equipment or product utilization in a live environment to identify patterns that indicate imminent failure. For revenue-generating operations equipment, downtime results in lost revenue as well as costly repairs. Ongoing analysis of an entire system lets businesses predict when failure might occur, so preventive maintenance can avoid the failure. For consumer products, failures or need for replacement will depend highly on usage patterns, and tracking those patterns help manufacturers to alert customers when their products need specific maintenance.Service Centre Optimisation
Predictron Labs provides both service and non-service industries across all service related functions, including customer care, business support centre, CRM, IT, etc. with fuss-free capability needed to analyse all service related KPIs, enabling your service organisation to improve productivity, reduce cost and increase customer satisfaction.Machine-to-Machine (M2M) and Internet of Things (IoT)
With an agile cloud-based platform, Predictron Labs enables you to get accurate visibility with granular performance insights on the utilisation and operating status of your connected devices. Our solution scales well to the growing volume of M2M data being generated by connected devices, such as smart utility meters, vending machines, etc., allowing you to make predictive recommendations on maintenance and operations.Supply Chain Analytics
Analyse channel data, demand patterns and distribution flows, and gain critical insights into your supply networks and operations. Leverage our advanced analytics and predictive modelling capability to create forecasts and reduce costs with optimal inventory levels.Asset Performance Analytics
Get insights on your asset productivity and increase operational efficiency by analysing capacity constraints and other performance issues. Minimize downtime risks by identifying early warning signs of imminent defects, whilst also recalibrating your process flow and improving utilisation.Procurement Intelligence
Predictron Labs provides you the capability to drill down into your spend data and empowers your team to analyse and track supplier performance, as well as identify cost saving opportunities.
Internet Of Things (IoT) applications
IoT is the concept of a seamless, all-encompassing and ubiquitous network of devices with the goal to facilitate smart co-ordination between the devices themselves as well as between the devices and human users. These devices are typically constrained devices such as sensors, but also more sophisticated ones like smartphones are considered part of the ecosystem. By accessing and processing the data that comes from these devices you can create enormous opportunities for your business.
