Financial institutions strive to simultaneously combine the essential resources, such as data, analytics, and software along with industry best practices, to meet their customers’ needs. They want to find ways to appeal to the ever-increasing expectations of their clients. And with pressure from regulators, they need the ability to build compliance into processes, data collections, and analytics. In short, businesses need smarter solutions that combine the elements not always readily available, or easily implemented through in-house solutions.
Prescriptive Solutions take predictive analytics a step further by bringing data and analytics together with software and expert guidance to create a flexible solution that is optimized to address specific needs or use cases.
Big Data can have a significant impact on society. In this Infographic we highlight a few examples where Big Data has been used to turn insights into action, and serve society in a positive way.
It’s time to close the CECL readiness gap. Current expected credit loss, or CECL, will effect the biggest change in accounting standards in a generation. Lenders must be able to show that, in the event of a financial crisis, their books will prove to be in good shape.
This white paper will help during your CECL implementation project and beyond.
Our 2019 global data management research uncovers key trends around global data practices and common challenges across industries.
Download the infographic to view the trends.
Click here to learn more about our data quality solutions.
Download our infographic to learn more about the state of data management, data in the digital age, and what drives Public Sector data strategies.
Click here to learn more about our data quality solutions.
Lenders need to target and retain the most lucrative consumers to expand their portfolios. Balance transfers represent a critically important revenue lever in the market. By understanding the drivers behind transfers and improving response rates through propensity modeling, you can develop a strategy to target and retain optimal balance-transfer candidates – those who will deliver returns with minimal risk.
Download the perspective paper to learn more.
You make thousands of important decisions — across lines of business, the Customer Life Cycle and channels — every day. A decisioning ecosystem can help you make faster, better, more consistent decisions, and improve your business performance. Read our perspective paper to find out how.
Digital transformation is dramatically changing the way consumers and businesses interact. And while ubiquitous data and new technologies create huge opportunities, competition is fiercer than ever. Customer experience keeps being redefined, raising the bar for all industries to catch up.
In this infographic we explore how, in their quest for sustainable growth and market leadership, businesses like yours are shifting their strategies towards a truly customer-centric or ‘customer first’ model.
Business leaders today recognize a myriad of benefits the digital economy has to offer, such as improved customer experience and better insight for decision-making. Despite these advantages, organizations struggle to deliver the experience they would like, and data isn’t always in a suitable state to be used for this purpose.
This study provides a unique perspective on customer experience as it relates to digital transformation priorities and challenges. Check out the full report for our in-depth analysis and key findings, such as:
This paper focuses on how collection activites can be carried out on individual customers, and how these actions can be chosen to optimize overall performance in the collections environment.
Optimization enhances in-bound marketing systems, processes, analytics and data you have in place today so you can fine-tune your customer contact activities to achieve maximum return on investment.
Data is at the heart of every organization. And data migration and ETL projects are important undertakings for many businesses as they underpin the success of many strategic initiatives.
Yet, despite the importance of data, half of these data migration initiatives fail to meet their objectives, with many of those
being abandoned after their budgets run out. Learn more from our white paper to see what you can do to make sure data migrations and ETL projects run smoothly and painlessly.
Analyze, improve, and control your data with Experian Pandora—a powerful data profiling, integration, and discovery
solution that helps you discover relationships between siloed data, as well as create business-specific data quality rules and dashboards. With its automated alerts, audit trails, and data policy enforcement, our data management tool gives you the means to manage and monitor your data quality around the clock.
Experian Pandora is an on-premise solution that proactively profiles data, giving you unprecedented insight into all
of your business’s information. Our data management solution is the go-to solution for data migration, data integration, and overall data management projects.
EducationDynamics provides marketing and information services to over 900 colleges and universities across the globe. They work with each educational institution to accurately target, attract and connect students to schools. EducationDynamics looked for technologies that could increase their ability to better match a student to a school.
They chose Experian Data Quality after an exhaustive search for a predictive analytics solution that combined both first- and third-party information to better determine whether individuals were suitable for their schools’ programs.
Financial services firms have vast quantities of data, much of which is used during the course of their day-to-day operations. However, many fail to fully exploit that data, due to a combination of inadequate systems and siloed teams. Not only that, concerns over the quality of that data result in process duplication as teams feel the need to redo reports they have received.
Take a look at how Schroders Bank used Experian Pandora, a data management solution to identify data issues and assure the quality of their investment data.
Now there’s a way to unlock the power of data and analytics for a process that is individualized, efficient and fair. With PowerCurve Collections, you can build a collections process that puts customer needs at the center of your strategies. Identify the appropriate action, at the right time in a way that is convenient for customers. The result? A cost-effective and compliant process focused on retaining valuable customers.
Make confident decisions in a complex world. To learn more, click here.
As organizations today look to their data to power business opportunities, the role of the chief data officer (CDO) is becoming increasingly mission-critical. While the value a CDO brings to businesses is widely acknowledged by C-level executives, not all CDOs are set up for success. In our latest research report, Experian Data Quality spoke with over 50 CDOs to understand how their roles have changed in recent years, and how the realities of the position may differ from CDOs' expectations.
Identity relationship management is the next generation of identity management. Identity relationship
management isn’t just knowing who a person is (or is not) or may (or may not) be at a particular point in time.
Rather, it links people, places and things and enables a dynamic, context-based strategy that organizations
can apply confidently throughout the User or Customer Life Cycle.
Every contact with a customer is an opportunity to strengthen the relationship. Even when it comes to debt collection. Sometimes customers forget to make a payment, or fall on hard times and struggle to make multiple payments. Knowing the difference matters and it should inform your actions.
Make confident decisions in a complex world. To learn more, click here.
Reject inference is the practice of using information to make a probabilistic guess as to the outcome of an application that was declined by a lender. In this paper, we walk through three approaches to iterative reclassification and provide an assessment of their efficacy based on classification accuracy.
The evolving landscape of online marketplace lending and the future of the industry.
In 2008, a short two years after the first online marketplace lenders opened for business, the Great Recession began to wreak havoc on worldwide financial markets. Small businesses struggled to survive, banks failed and access to capital was limited. More online lenders saw an opportunity and opend for business. These technology-driven newcomers hired an army of data scientists, coders and digital marketers. In the fall of 2015 the innovation, industry disruption and regulatory uncertainty that characterize this dynamic sector led Experian to produce a series of articles focusing on different aspects of online marketplace lending. This report contains those articles.
Financial institutions have invested in Big Data for many years, and new advances in technology infrastructure have opened the door for leveraging data in ways that can make an even greater impact upon your business.
Big Data is not just about increased data and storage. It is about finding opportunity in your existing data sources and scaling for the future.
Bluestem Brands, one of the United States¿ largest catalog and online direct marketers, faced the challenge of how to best leverage its abundant customer intelligence
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