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Address:  INETCO Systems Limited, Suite #295 – 4664 Lougheed Highway, Burnaby, British Columbia, Canada, V5C 5T5

Sales Contact: Marc Borbas

Phone: +1.604.451.1567 x110

Business Since: 1984

Number of Customers: More than 50 customers, worldwide

Offering Overview

INETCO Analytics® is a highly optimized solution for credit unions looking to gather and analyze real-time customer transaction data across all their self-service channels – ready to be visually displayed any time you need it. Intuitive data visualization dashboards make it easy for various business units to quickly get at answers related to operations performance, fraudulent transactions, channel profitability and the end customer experience. Built-in predictive models and machine learning techniques are used to estimate important intelligence such as line queues, cash utilization and customer interaction sequences. Rich records of every consumer interaction help you build out rich customer profiles and answer questions such as:

• Where are potentially fraudulent transactions occurring?
• When are issues impacting the end customer experience?
• How are customers interacting with each of our banking channels?

In addition to real-time transaction data feeds, INETCO Analytics can also ingest and blend data from a variety of data-driven applications and third party sources, including log files, tables and lists. Complementary data, such as customer transactions, BIN lists, competitor locations and population demographics can be displayed together in one centralized view for better transparency and data-driven business decisions. Benefits include:

• Understanding customer banking behaviors across all self-service channels.
• Speeding up the identification of transaction anomalies.
• Increasing customer wallet share and customer acquisition.
• Reducing reporting cycles by 75-85% by overcoming data latency, preparation and accessibility issues.
• Maintaining real-time control of channel profitability and combining data-driven intelligence with timely actions

Use Cases

• POS Channel Analysis
• Fraud Analysis and EMV Monitoring
• ATM Channel Analysis
• Omni-channel Banking Analysis
• Debit, Prepaid and Credit Card Analysis
• Digital Banking Analysis

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