Credit Decisioning and Scoring

How we can help you with powerful insights made simple

When markets are uncertain and rapidly changing, it's vital that your business can accurately understand consumer credit behaviour, without needing to invest in complex, costly systems.

The use of sophisticated credit decisioning technology and credit scoring workflows can deliver game-changing decisioning across the customer lifecycle. Strengthen your credit decisioning and scoring strategies, gain new insights, increase your speed to market and stay ahead of regulations. Moving away from outdated legacy systems will also enable you to reduce costs and increase efficiency while offering customers a better experience and better outcomes.

Credit decisioning technology and solutions

With increasing uncertainty and economic turbulence, credit scorecards are more important than ever, with banks and lenders seeking to understand how consumer behaviour is changing and what that means for their lending decisions.

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Fast, reliable decisions

Man on a bus applying for credit on his mobile phone

Fast, reliable decisions

In today’s fast-paced world, customers want fast decisions. They don’t want to hang around for time-consuming checks, but, at the same time you need to ensure that you make all the necessary checks. With the right data, decisioning insight, automated scoring and machine learning input you can balance these needs, providing quick, informed decisions to maximise applicants in competitive or new markets.

Solutions for fast, reliable decisions

Make better customer decisions even when operating in a dynamic business environment. Find out how Experian's PowerCurve platform can help you.

PowerCurve

Quickly assess a consumer’s financial situation with an online snapshot of their circumstances.

Evaluate

Continually-updated decisioning models

Continually-updated decisioning models

Dynamic decisioning models are essential in today's lending landscape. These models use advanced analytics and process large amounts of data to generate actionable insights that help lenders make informed decisions. As technology advances, decisioning models become more complex, requiring frequent updates to ensure they remain relevant and effective.

Experian offer decisioning solutions that leverage machine learning and other advanced techniques to provide real-time decision-making capabilities. These solutions can be customised to meet the specific needs of each organisation and can integrate with existing systems to streamline decision-making processes. With continually-updated decisioning models, companies can make more accurate and timely decisions that drive better lending outcomes.

Solutions for updated decisioning models

As market conditions change, PowerCurve Strategy Management can help you develop and deliver more insightful customer acquisition and origination strategies.

PowerCurve Strategy Management

Our data and analytics services put transformative software into your hand. Enjoy the benefits of the cloud to power advanced analytics through technology and data.

Credit Analytics

Better decisioning and underwriting efficiency

Couple at home applying for credit on a tablet

Better decisioning and underwriting efficiency

Real-time customer data insights can help you make informed decisions, improve customer satisfaction, and enhance your overall customer experience. Identify key decision points, define decision rules, and integrate analytics into your decision-making process. Using advanced analytics and decisioning tools, you can streamline your underwriting processes, reduce risk, and increase your operational efficiency.

Solutions for better underwriting efficiency

Make better customer decisions even when operating in a dynamic business environment. Find out how Experian's PowerCurve platform can help you.

PowerCurve

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Increase acceptance and lower credit-loss

Couple at home applying for credit on a mobile phone

Increase acceptance and lower credit-loss

Advanced analytics and decision-making help reduce credit loss in the financial services industry. By making sense of complex data through advanced modelling, businesses can more accurately assess credit risk, identify potential fraud, and better understand customer behavior. This can lead to more informed decisions, better loan pricing, increased application acceptance and improved collections strategies.

Solutions to help increase acceptance

Experian’s credit line management model helps you set the best credit limit for individual customers, using balance prediction for the most accurate decision making.

Limit Management

PowerCurve Customer Acquisition is an intuitive cloud-based platform that enables you to consistently make one right lending decision after another.

PowerCurve Customer Acquisition

Reduce friction

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Reduce friction

Appropriate customer data enables you to make informed decisions quickly and accurately. By streamlining your underwriting processes and reducing manual input, you can reduce the risk of errors and minimize customer wait times, improving their overall experience. Identify inefficiencies in your decisioning process to optimise for maximum efficiency, improve customer satisfaction and loyalty, and ultimately grow your business.

Solutions to help reduce friction

Make better customer decisions even when operating in a dynamic business environment. Find out how Experian's PowerCurve platform can help you.

PowerCurve

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Get in touch

We can tailor our credit decisioning solutions to meet your business needs. Let’s talk.

Speak to an expert

Decisioning data and automated credit scoring

In uncertain times, accurate credit scoring models are essential for predicting risk and value. And the more accurate you can be, the more confidence you can have in your scorecards and decisions. With customers and balance sheets both under pressure, not to mention the cost of living crisis, many organisations are prioritising sustainable growth. As a result, continually-updated and automated scoring models are becoming essential, as they are much faster to recalibrate, test and rebuild than traditional models.

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Superior credit data analytics

Woman in an office assessing credit analytics

Superior credit data analytics

It is important that lenders have comprehensive data and thus data-driven insights to make informed decisions on applications. It allows lenders to assess the creditworthiness of potential borrowers accurately, identify potential risks, and determine the appropriate loan amount and interest rates. Finance organisations are looking to combine and interpret large data sets, identify trends and patterns, and make data-driven decisions based on accurate and reliable data. Only with this can you make smart, informed decisions about credit risk assessments, fraud detection and prevention.

Experian’s data platforms bring together a range of bureau and open-data sources, giving you the most comprehensive traditional and non-traditional data services on the market. Reduce risk of defaults, improve bottom line, and raise customer service levels with Experian decisioning.

Solutions with superior credit analytics

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Arms you with the latest market, economic, credit, competitor and customer insights, helping you better understand what’s going on, adapt to change and create significantly more successful strategies, faster.

Ascend Market Insights

React faster to market changes (cloud-based)

Colleagues assessing new credit market changes

React faster to market changes (cloud-based)

In today's fast-paced financial landscape, it is essential for lenders and financial services organisations to react quickly to market changes with lending decisions. Cloud-based solutions offered by companies like Experian can provide a significant advantage in this regard.

Advanced decisioning analytics and tools can help organisations quickly identify changes in the market and adapt their lending strategies accordingly. Using the latest customer data combined with cloud-based solutions, finance organisations can put themselves in the best position to make informed decisions faster than ever before. This helps create lending models and strategies that are best aligned with the changing market, reduce risk, and keep you ahead of the competition.

Solutions to help react faster to market changes

Make better customer decisions even when operating in a dynamic business environment. Find out how Experian's PowerCurve platform can help you.

PowerCurve

Adopting best-practice protocol and associated risk models will help identify stresses and sensitivities within your portfolio and develop accurate loss forecasts.

Credit Portfolio Risk Analysis

Regression analysis

Man in an office analysing credit data regression

Regression analysis

Regression analysis is a powerful statistical technique used in advanced analytics and decisioning tools to help businesses make data-driven decisions. By analysing historical data and identifying correlations, regression analysis can help predict future trends and outcomes, making it a hugely valuable tool for businesses looking to optimise their lending strategies.

These predictive models can be used to predict credit risk, identify fraud, and improve customer experiences, among other things. With Experian's decisioning technology, businesses can leverage regression analysis to gain deeper insights into their data, identify trends and patterns, and make data-driven decisions that can keep you ahead of the competition.

Solutions to help regression analysis

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Adopting best-practice protocol and associated risk models will help identify stresses and sensitivities within your portfolio and develop accurate loss forecasts.

Credit Portfolio Risk Analysis

Outpace advancing tech and competitors

Business meeting discussing competitor advancements

Outpace advancing tech and competitors

Credit decisioning models are evolving at a rapid pace with the volatile economy, and staying ahead of competitors is crucial. To achieve this, financial institutions must focus on leveraging advanced decisioning and analytics to improve decision-making accuracy and speed. This requires a customer-centric approach, where personalised experiences and efficient credit decisions are prioritised.

The use of extensive data, machine learning, and automation is also essential for effective credit decisioning. By adopting innovative techniques and industry best practices – particularly the use of extensive data, automation and machine learning – lenders can provide their customers with fast, efficient, seamless credit decisions, and ultimately set themselves apart from competitors.

Solutions to help outpace advancing tech

Ascend Market Insights

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Transactional and Open Banking data

Colleagues comparing traditional and non-traditional data

Transactional and Open Banking data

To reduce potential friction in the customer journey, it is important to incorporate both traditional and non-traditional data sources into decisioning models. Transactional data (such as transactions, balances and payment history) and open banking data (sourced through APIs) play a critical role, providing insights into a customer’s financial history, allowing financial institutions to make informed decisions about lending. By leveraging this data, financial institutions can gain a more comprehensive understanding of an individual's financial situation, improving their ability to make accurate and profitable credit decisions.

Solutions with transactional and open banking data

Experian's Affordability Passport offers the highest level of personalised affordability and is fully configurable to include or exclude credit data.

Affordability Passport

Categorising transactional data and insights so you can make better, more informed decisions at every step of the credit lifecycle.

Categorisation as a Service

AI and machine learning in credit scoring

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AI and machine learning in credit scoring

Machine learning and AI techniques can speed up data analysis and provide a more complete picture of customers. They can also identify hard-to-spot risk factors and customer segments to create new, cost-effective and dynamic challenger scoring models.

Solutions with machine learning

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Make better customer decisions even when operating in a dynamic business environment. Find out how Experian's PowerCurve platform can help you.

PowerCurve

Get in touch

We can tailor our credit scoring solutions to meet your business needs. Let’s talk.

Speak to an expert

Credit scoring modelling, scorecards and processes

When making credit decisions, it’s important that you offer the right terms, to the right people. But, if your scorecards are out of date, they may be providing an inaccurate representation of your customers. By reviewing your lending criteria, you can ensure you target people who are more likely to respond to your offers and meet your credit criteria, providing the best offers to increase approval rates and minimise bad debt.

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Enhance your policy rules

Woman in an office assessing credit policy rules

Enhance your policy rules

With the right data, you can ensure you have the optimal rules in place to increase approval rates while reducing bad debt. Rapidly simulating the impact of certain rules can help you determine the best action to maximise acceptances and revenue.

Solutions for enhancing policy rules

Experian’s credit line management model helps you set the best credit limit for individual customers, using balance prediction for the most accurate decision making.

Limit Management

Adopting best-practice protocol and associated risk models will help identify stresses and sensitivities within your portfolio and develop accurate loss forecasts.

Credit Portfolio Risk Analysis

Identify potential model disruption

Colleague in an office monitoring model disruption

Identify potential model disruption

Through the regular and proactive monitoring and validation of models, you can identify and address any issues quickly. This significantly reduces the time it takes to deploy models, so you’ll see the benefit of any improvements sooner.

Solutions to help identify model disruption

Adopting best-practice protocol and associated risk models will help identify stresses and sensitivities within your portfolio and develop accurate loss forecasts.

Credit Portfolio Risk Analysis

Ascend Market Insights

Deploy models on demand

Man in an office deploying data model changes

Deploy models on demand

Deploying models into the live decisioning environment enables instant uplift of any amendments to existing policies and models. This gives you the agility and control to reduce bad debt with full visibility of existing models, as well as approving new ones before they are implemented.

Solutions for deploying models on demand

Our data and analytics services put transformative software into your hand. Enjoy the benefits of the cloud to power advanced analytics through technology and data.

Credit Analytics

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Scorecard monitoring

Scorecard monitoring

Making credit decisions based on the most recent and precise data is crucial. This involves continually monitoring existing models to identify and improve, using real-time data and machine learning algorithms to help refine and improve the scoring process. Dynamic scorecard modelling enables financial institutions and lenders to stay ahead of their competitors by making informed credit decisions that align with their business goals.

Solutions with scorecard monitoring

Out-dated scorecards may be misrepresenting customers. By reviewing your lending criteria with a view of today, you can ensure you’re offering the right terms to the right people.

Scoring and Models

Ascend helps you make smarter business decisions. Unlock your advantage, grow your business and serve your customers better with powerful insights made simple.

Ascend

Get in touch

We can tailor our credit modelling solutions to meet your business needs. Let’s talk.

Speak to an expert

Decision analytics

Decision analytics shouldn’t be difficult nor time-consuming. Analytics transform Experian’s unrivalled but sometimes complex data into something simple and actionable. Data platforms offer the best of both worlds, allowing you to enjoy both quality and quantity of data. Used in combination with a decisioning platform, such as PowerCurve, that enables the fast deployment of new models and scorecards, the possibilities are infinite.

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