Advanced analytics and modeling
From descriptive insights to prescriptive analytics, Experian® helps businesses make the best data-driven decisions
We offer extensive amounts of consumer and commercial data, delivered in a range of ways to easily integrate into your business processes.
With numerous commercially available attribute sets, scores and models, businesses can choose where to focus. Build your own custom attributes and scores? We can support that too. With Experian’s custom analytics, your marketing campaigns will have deeper insights and yield maximum returns.
Take advantage of the latest tools and capabilities to support business intelligence, analytics, model development and deployment.
With unmatched industry experience, we have been building proprietary advanced analytical solutions and developing models since 1976. Additionally, we share deep insights with our clients.
Experian has a wide breadth of consumer and commercial attributes to expand your insights while meeting attribute governance and explainability requirements.
We have 40+ years of experience building credit risk models using the latest analytics technology. We focus on explainable, compliant and ethical AI and modeling.
Our models satisfy client and regulatory governance processes and can be implemented through multiple delivery channels from web services and decisioning software to legacy systems.
We use the latest ML techniques (like XGBOOST and neural networks) when appropriate and more traditional ML techniques (like decision trees, segmentation and regression) in many cases.
Our solutions provide insight for a decision-maker, or they can be delivered as part of a fully automated decisioning solution.
Our data engineers offer best practice attribute management strategies, world-leading feature sets and even specialized software for accessing data and developing stable features that make ML possible.
Going beyond traditional business intelligence solutions, advanced analytics automates the examination of data to unlock greater insights that can increase predictiveness and optimize decisioning.
Advanced data analytics analyzes large volumes of data through an array of sophisticated techniques.These methods can include predictive analytics, neural networks, machine learning algorithms and mathematical optimization modeling — just to name a few.
Advanced analytics solutions can help organizations drive operational efficiencies and enhance customer experience while supporting business goals. Deeper insights can help businesses understand their customers and their behavior better, so they can identify opportunities, mitigate risk and fraud, deliver the right products to the right people, and provide a personalized service.
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