Should CFOs Toss Time-Based Collections?
For many CFO’s, the answer to the question, “should I stop thinking of collections as time-based?” is simple: yes. If you and your collection agencies are still considering operating with time-based methodologies, you may be paying excessive fees to collection agencies and internal operations to collect on debtors with a high probability of paying. Conversely, […]
How Debt Collection Affects Revenue Cycle in Healthcare
Debt collection is a hot topic in healthcare revenue cycle circles. That’s because hospitals and physicians are facing higher costs, declining reimbursement, along with high-deductible insurance policies and patients that simply cannot afford to pay. This article looks at how debt collection best practices could improve the revenue cycle in healthcare. What are the issues […]
Top Tech Trends Impacting Debt Collection
If your debt collection firm isn’t using analytics to predict consumer behavior you’re at risk of falling behind. ~~~ It’s no longer surprising that digital technology has disrupted every industry, including debt collection. From new data-driven software to internet security and workflow automation, tomorrow’s debt collection firms will look nothing like the local Mom and […]
3 Tips for Utilizing Data Analytics to Drive Your Business Forward
Changes in data analytics are helping businesses make smarter choices for their future. Predictive data analytics in the business world is becoming more and more necessary as it develops. Companies that do not adapt to the changes that predictive analytics brings forth will soon find themselves left behind on the road to success. Here are […]
How Data Scrubbing Can Improve Your Collections
When it comes to collections, data quality matters. Data scrubbing offers an efficient and targeted method of management to help rid your database of inaccurate, outdated, corrupt, or otherwise ineffective data so you don’t waste time. Know Which Consumers to Target A data scrubbing program can clean your data so you don’t target customers whose information […]
