Denodo Technologies > Case Studies > Reintegra Leverages Denodo Data Virtualization to Increase Debt Location Rate to %5, Improve Productivity of Their Search Process by 40x, Increase Agent Capacity by over 50x (from 15-20 to over 800 Files an Hour)

Reintegra Leverages Denodo Data Virtualization to Increase Debt Location Rate to %5, Improve Productivity of Their Search Process by 40x, Increase Agent Capacity by over 50x (from 15-20 to over 800 Files an Hour)

Customer Company Size

Mid-size Company

Region

Europe

Country

Spain

Product

Denodo Data Virtualization

Tech Stack

Data Virtualization

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Cost Savings
Productivity Improvements

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Applicable Functions

Business Operation

Use Cases

Search & Rescue

Services

Data Science Services

About The Customer

Reintegra is part of the Santander Group and was born in 1999 as a spinoff of the Santander Consumer Group. It is currently the Spanish market leader in collection management. With 24 offices across Spain, Reintegra employs - directly and indirectly - more than 200 professionals that manage an annual volume of over 500,000 files. In addition, Reintegra provides an integrated service that covers all phases of management for expired or unpaid loans: telephone management, on-site management and contention management. A significant part of its success is based on its powerful IT systems, where Denodo Technology has now been integrated as part of management of previously untraceable debtors.

The Challenge

Reintegra, a part of the Santander Group and a leader in collection management in Spain, was facing a significant challenge due to the economic crisis and a fall in consumer spend. The financial impact of delayed collections was growing, imposing a financial cost of over 0.5% on a company's invoicing. In addition, such delays were the cause of 25% of bankruptcies. With over 50% of invoices paid late, efficient collections management and debt recovery became crucial for the company's well-being. Reintegra needed to automate their search process for information regarding debtors, especially when trying to locate untraceable contacts. This task was accelerated by identifying valid telephone numbers and enabling direct contact. However, before the implementation of Denodo Data Virtualization, this task was carried out manually by Reintegra agents, resulting in significant resource investment, both in time and money.

The Solution

Reintegra decided to use Denodo's Data Virtualization technology to speed up the search process of finding untraceables using public sources via the Internet. The solution provided by Denodo for debt collection management is based on Data Virtualization technology that leverages 'footprints' that users leave on Internet sites and public directories. This evidence has tremendous value for companies that want to improve the way they manage client information and relationships. The system uses 'robots' that repeat navigation processes on the web in critical environments with high download ratios. The results obtained via these automated processes are highly superior to data collected using manual processes. The process begins with the automatic upload into Denodo of untraceable identities by collection managers. Once the search takes place, the newly-discovered contact data is integrated directly into Reintegra's internal systems without further manual intervention, resulting in a huge increase number of contact telephone numbers to work with.

Operational Impact

Significant cost reduction associated with the search process, which is now significantly faster than older, manual search techniques.
Minimized number of errors and an increased quality and value of the debt portfolio.
Integration with Reintegra's corporate systems.
Higher rate of valid telephone numbers identified: up to 5% of the total, a very high rate by industry standards.

Quantitative Benefit

An increase to 5% in debt collection ratio in a significantly shorter time.
Search process productivity multiplied by 40, increasing its agents capacity to manage 800 files per hour from 15 (a 53x increase).