Tag: Big Data

Credit scores play a major aspect in our lives. However, today's scoring system prevents many individuals from accessing credit. Learn more.

Download our report to learn why alternative credit data is supplemental and essential to consumer lending and how it’s being used by consumers and FI's.

Customers expect seamless and excellent customer experiences – that’s where the power of advanced analytics comes into play.

As the opportunities surrounding advanced analytics continue to grow, lenders are eager to adopt these capabilities. However, there are key things to keep in mind.

Better, faster and smarter decisions. It all starts with data and advanced analytics.

To create a socially credible environment, China has developed a mobile app to alerts users when they are within a 500-meter radius of someone in debt.

Discover how OneMain Financial reduced expenses and the time involved in order to improve their core risk modeling, and also created portfolio strategies.

Credit access for the masses, machine learning and fraud are among the top 5 trending topics for the financial services industry in 2019.

An analytics environment can have enterprise-wide impact. Instant access to customer data, actionable analytics and intelligence tools drive the most value.

Any analytical environment is only as good as the data you put into it. Check these four key features when choosing the right one for your organization.

You want to use big data, but how do you make your analytics truly actionable to stay ahead of the competition? Using an analytical sandbox is the answer.

There are a lot of people talking about big data who are not fully leveraging the value of their data. How do you use data to innovate and stay competitive?

There are more than 220 million credit-active consumers. Hear from a data expert on ways analysts can explore these files and dig into big data with ease.

Prescriptive solutions can synthesize big data, analytics, and business strategies to provide businesses an optimized workflow to reach a final decision.

As Big Data becomes the norm in the credit industry and others, the seemingly non-stop efforts to accumulate more and more data leads me to ask the question - when is Big Data too much data?  The answer doesn’t lie in the quantity of data itself, but rather in the application of it – Big Data is too much data when you can’t use it to make better decisions. So what do I mean by a better decision? From any number of perspectives, the answer to that question will vary. From the viewpoint of a marketer, maybe that decision is about whether new data will result in better response rates through improved segmentation. From a lender perspective, that decision might be about whether a borrower will repay a loan or the right interest rate to charge the borrower. That is one the points of the hype around Big Data – it is helping companies and individuals in all sorts of situations make better decisions – but regardless of the application, it appears that the science of Big Data must not just be based on an assumption that more data will always lead to better decisions, but that more data can lead to better decisions – if it is also the “right data”. Then how does one know when another new data source is helping? It’s not obvious that additional data won’t help make a better decision. It takes an expert to understand not only the data employed, but ultimately the use of the data in the decision-making process. It takes expertise that is not found just anywhere. At Experian, one of our core capabilities is based on the ability to distinguish between data that is predictive and can help our clients make better decisions, and that which is noise and is not helpful to our clients.  Our scores and models, whether they be used for prospecting new customers, measuring risk in offering new credit, or determining how to best collect on an outstanding receivable, are all designed to optimize the decision making process. Learn more about our big data capabilities