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CIBC Completes Migration to Lusis TANGO Payments System

5/14/2018

 
Lusis payment hub SOA architecture provides agility and scalability for an evolving marketplace
​

SAN FRANCISCO & PARIS--(BUSINESS WIRE)--Lusis Payments, a global innovator of mission-critical payments software, announced today that CIBC, a leading Canadian-based global financial institution, has migrated its POS, ATM, and Payments Hub to the Lusis TANGO platform. CIBC has been modernizing its payments infrastructure to improve their ability to meet the demands of today’s evolving payments ecosystem.

​TANGO is an online transaction processing engine for mission-critical 24x7 solutions including payments, retail, loyalty, finance, utilities, and transport. TANGO delivers performance, availability, and scalability, with a rich set of functionalities, all from a single application, a single code set and a single architecture. This flexibility makes TANGO ideal for the next generation of payment systems.

CIBC selected Lusis Payments’ TANGO product for use across a range of banking channels. TANGO allowed the bank to move to an open platform built on a high-performing micro-service architecture providing agile banking needs. CIBC has also implemented a number of new functionalities and capabilities to its payments systems as a result of the migration.

“TANGO is the payments HUB facing todays challenge,” said Philippe Preval, President and CEO of Lusis Payments. “TANGO is addressing business needs both now and in the foreseeable future. Our team worked closely with CIBC to provide the flexibility it needs in today’s evolving payments landscape.”

​About Lusis Payments
Lusis Payments is an innovative global software and services provider to the payments industry. The company’s proven, cutting edge technology operates in numerous hardware and operating environments. The TANGO platform, combined with the know-how to mitigate risk and deliver high levels of assured customer service, constitutes a unique proposition for organizations faced with the challenge of adapting to traditional and future needs in the payments ecosystem.


Contacts
​Lusis Payments
Brian D. Miller, 415-829-4577
General Manager
Brian.Miller@lusispayments.com

The Future of ATMs:  New Initiatives from Vendors and Banks

5/9/2018

 
Picture

A FEATURED ARTICLE ON ATM MARKETPLACE
by Philippe Préval, CEO, Lusis Payments

​Banks at a Crossroads
Although cash delivery activity seems to be decreasing due to contactless payments and wallets, in North America, the Automated Teller Machine (ATM) channel is still maintaining its central role as a core banking touchpoint with the consumer.  It has become an integral part of the banking omni-channel experience, not only playing a key role in the broad context of modern banking but also being a major enabler of mission-critical “access to funds” functionality within financial inclusion initiatives. The channel is taking an even more important role as branch network optimization leads to a reduction in the number of branches while consumers still express a preference for banks with a physical presence.
 
On the other side of the ocean, some European major companies seem to see the ATM business as a dying activity that can be easily outsourced to service providers that provide a low cost/poor user experience.
 
So, who is on the right path between these two radically different approaches?  New features that are coming in front-line for ATMs may be giving evidence of a really interesting future for those teller machines putting the truth on the United States’ (US) side.
 
Banks’ Initiatives
There are interesting initiatives related to activation of classical cash functions using contactless devices, including Smartphones.  New functions for providing cash to one individual using his or her Smartphone are already very popular in the US and totally marginal in Europe.
 
There are two ways of delivering cash to someone:
 
1)    Using a Smartphone Radio-frequency identification (RFID) capacity and wallet to allow a customer to retrieve cash from an ATM, there is a wallet Device Primary Account Number (DPAN) used in place of a card.  DPAN is also known as the Digital Primary Account Number.  Once the wallet is authenticated, even the on-us transactions are available for the user.  On-us transactions are those for which all transactions for an ATM or a Point of Sale (POS) machine originate from the same bank.  The only condition is to re-authenticate the wallet every time the user chooses a function.
 
2)    Cash can be sent to a third-party holder using wallets.  An ATM is then used to dispense cash to the destination user.
 
Some ATM Vendors´ Initiatives
 
Following is a brief discussion of two interesting initiatives proposed by the two market leaders.
 
NCR Corporation’s ITM
 
The NCR ITM (Interactive Teller Machine) is an Assisted Service hardware solution.  It has the same footprint as an NCR Self Service ATM system but has integrated two-way video conferencing with additional software and hardware to support live interaction with a remote teller.
 
The NCR ITM includes audio capabilities beyond a typical ATM, as well as incorporates peripherals to support the member experience like a phone handset for privacy or a signature pad to require customers to sign for certain activities. The ITM can be supported as a stand-alone video teller solution.
 
Diebold ILT
 
The In-Lobby Teller (ILT) is offering Branch services without a real Branch and tellers or inside a Branch but with fewer teller agents.  It is an innovative solution that redefines the Branch experience for both the bank and its customers. The ILT bridges the gap between the teller and the ATM by combining the convenience and accuracy of a machine with the natural and personal interaction of a human.
 
All operations that a customer can do in a Branch are available, including deposit, withdrawal and all home banking functions.
 
A dramatic productivity increase is anticipated with ILT, with one teller being able to pilot the dialog of several ILT in various locations.
 
All these new channels use modern JavaScript Object Notation (JSON) web services to carry the transactions’ information to the payment system that manages the ITM, ILT.


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LUSIS LITERATURE

PRIVACY POLICY

​LUSIS EVENTS
LUSIS NEWS
- Creating Enhanced Payments Agility
- Happy New Year! 2022 Highlights
- Banking on the Cloud

- Enriching the Branch Experience
- NEW: TANGO V8.1 with Cloud-Native Support
- A Reflection on Payments Fraud - 2022 and Beyond
- Is a revolution in consumer-centric payments inevitable?
- Changing the Payment Card Monopoly: What Does it Take?
- Is Russian software trustworthy?
- A Lusis Payments Reflection on 2021 ​
- Payments Q & A with Dave Smith
- Can financial services institutions rise to the challenge of FinTech?
- Infrastructure Decision Making - Five Key Principles 

- Preparing Your Payments Infrastructure for the Next Decade: A Guide for Financial Services Institutions
- Play to Win with TANGO for Retail Payments
- TANGO: Fast-Track to Cloud Payments
- Next Generation ATM Services
- Leading ATM Processor Chooses TANGO
- A new TANGO Benchmark on NonStop





- Why Companies are choosing TANGO to replace their Legacy Systems
​
- HPE GreenLake for Financial Payment Systems in Partnership with Lusis Payments​
- Leading Global Bank relies on TANGO for superior agility & impressive cost savings
​- Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection
- HPE NonStop for Lusis TANGO
- Cover story in "The Connection" magazine
   Tango V8 – An Implementation of Micro services 

- Fighting Fraud with the Latest Technologies TANGO AIF
- Lusis Payments Announces N American Support Center
- Research Chair: AI Applied to the Detection of Payment Fraud and Trading

- Lusis named Best Electronic Payment Systems
- Article:  A SME in the Big Leagues

​- ​TANGO 10K TPS in the Cloud
- Lusis Makes Strides to Revolutionize Payments Technology
- Lusis Leverages the Power of Artificial Intelligence
​- New Security Requirements for ATM and POS Introduced by PCI-PIN V3PIN V3: TR34 - TR31
​- TANGO - Stress Test on  HPE NonStop L-Series

- A Comparison of Machine Learning Techniques for Fraud Detection
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