Business challenge

Automate the collection and analysis of information on the performance of a network of self-service machines.

Solution

IBA Group has developed a BI system with modules for monitoring, analytics, prompt alerts, forecasting and optimization. Using the solution, employees generate interactive analytic reports without engagement of IT specialists. IBA Group expanded the Enterprise Data Warehouse, which now also stores information about the status of the network of self-service machines. They implemented procedures for data export from banking systems, data cleaning and uploading to data warehouse. The system is accessible from personal computers and mobile devices.

Result

The bank improved the speed and quality of cash collection and equipment repairs. The solution allows the bank to predict operation of the network of self-service machines and quickly generate reports.

Business challenge

Automate the collection and analysis of information on the performance of a network of self-service machines based on the data from OpenWay Way4 payment system, integrated with the Enterprise Data Warehouse of the bank.

Solution

IBA Group has developed a BI system with modules for monitoring, analytics, prompt alerts, forecasting and optimization. Using the solution, employees generate interactive analytic reports without engagement of IT specialists. IBA Group expanded the Enterprise Data Warehouse, which now also stores information about the status of the network of self-service machines. They implemented procedures for data export from banking systems, data cleaning and uploading to data warehouse. The system is accessible from personal computers and mobile devices.

Result

The bank improved the speed and quality of cash collection and equipment repairs. The solution allows the bank to predict operation of the network of self-service machines and quickly generate reports.

Challenge

The customer hired IBA Group to test, if the RPA (Robotic Process Automation) and AI (Artificial Intelligence) technologies for which they bought a license suit their needs.

The bank receives a daily list of transactions on currency exchange. Bank employees have to compare the list with data in the internal banking system. Data come in exls, pdf, html, and plain text formats. In cases of data error, clarification of information routed to employee (Human Task)

SOLUTIONS HIGHLIGHTS

Classify input data, automate data extraction (cognitive automation with training model based on 1,500 documents), compare input data with data in the banking system (RPA task), and send messages on process results (bot task).

IBA and the customer worked together on the Proof-of-Concept, implementing the most typical business processes. The project duration was three months. Of these, IBA Group spent one month at the customer’s premises and two months working from an offshore location.

Project Results

1. Automation rate for extraction: 78%
2. Average accuracy: 94%
3. Reduction in manual effort per transaction: 63% (1 m 50 sec vs. 5 min)
4. For Excel: accuracy 100%, automation rate 100%,

As the proof-of-concept yielded positive results, the project was put into production.