When building complex management and decision-making solutions, we often need to download customer data. This includes, for example, information about the products they own and the transactions they perform. Simply downloading the data for solution is only the first step in the process. Next one is to verify the received records, interrelate them and calculate the relevant aggregates (indices, sums, etc.). Dedicated tools are used to streamline data feed and processing, for instance, receivables monitoring systems in a bank, based on the daily processing of tens of millions of data about customers, their payments and contact history.
Streamlining feed processes works well if data processing is reliable and scalable as the business grows. When data is not processed within the set timeframe, a sequence of events, sometimes hard to manage quickly, begins. These range from a delay in operating units to generating outgoing correspondence based on outdated data and sending it to customers. As a result, the bank not only loses money, but also trust.
How to reduce processing time?
Shortening processing time is a constant goal for numerous companies, not only banks. Institutions of this type cannot afford to wait for the results of processing longer than other services require. In one of our banking receivables monitoring systems, built using the low-code VSoft archITekt platform, millions of data per minute is processed. The purpose of this processing is to update financial data and select the appropriate path for dealing with the customer.
Looking at the aforementioned receivables monitoring system as a whole, the daily processing of massive volumes of cases requiring multiple intermediate steps (reading data and making decisions in dozens of business processes, including monitoring, restructuring, judicial debt recovery, outsourcing and sale of receivables) takes place at the speed of several hundred thousand cases per minute. According to statistics, the VSoft archITekt solution processes up to 1.5 million cases in just 47 minutes. As a result of such daily processing, the statuses of individual cases are updated and dozens of extracts are generated, determining the necessity to take specific debt collection actions according to a set schedule.
Faster data processing in debt collection
Using the low-code platform, we have built a debt collection system which, at an express pace, issues cases requiring telephone contact, monitoring of the declaration of payment of arrears, dispatch of a message (e-mail, text message, letter) or transfer to the e-court within the electronic writ-of-payment proceedings, from which feedback information on payment orders issued against the debtor is then read. Ready modules of the VSoft archITekt platform accelerated the process of feeding data to related programmes supporting field processes, such as VSoft Mobile Workforce, as well as transferring files to external units such as a printing house.
Basing the debt collection system on a proven ETL-class platform module meets market requirements for case capacity and ensures high processing efficiency.
Take care of data processing in your company!
If processing large volumes of data or generating huge amounts of documents in your company does not work as it should, I encourage you to get acquainted with the VSoft archITekt platform. We guarantee that the solution will handle a wide range of data in optimal time. VSoft archITekt is an excellent choice if you are looking for a digital and process transformation tool or a drag-and-drop tool.
