Data Quality
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.
Consumer disputes aren’t going away, but understanding the reported data and metrics behind disputes can help data furnishers minimize them and improve processes.
Most C-level executives (87%) believe data has greatly disrupted their organization’s operations over the past 12 months.
With so much data being generated by our social media obsession, should lenders consider social media insights to assess credit risk?
APIs--Application Programming Interfaces--are the hidden backbone of our modern world which allow software programs to communicate with one another.
Successful data migration depends on attention to detail, no matter how small. Here are 3 items essential to a successful data migration:
Historical data that illustrates lower credit card use and increases in payments is key to finding consumers whose credit trajectory is improving.
Data is the cornerstone of retail success today. Your organization can start depending on your data & gain actionable insights w/these data management tips:
The consumer economy has evolved dramatically over the past few years. Credit data can be a powerful asset for FIs in this new environment.
Interesting things we learned about data quality in 2016. Our data quality report found some concerning statistics about companies and their data quality.
Businesses believe that 23% of their customer or prospect data is inaccurate.
Organizations are beginning to use data to optimize or improve nearly every aspect of their organization. Make your data quality business case.
A recent Experian study on data insights found that 83% of chief information officers see data as a valuable asset that is not being fully exploited within their organization, resulting in the need for more organizations to appoint a dedicated chief data officer (CDO).
Data migrations are very common in today’s business environment. A recent Experian Data Quality study found that while 91% of businesses engage in data migrations, 85% encounter significant challenges.