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GXS BANK BUILDS A STRONG DATA CULTURE FOR AI‑DRIVEN DECISION-MAKING






~300

GXS users can access Alation for trusted data


3,000+

SQL queries executed on Alation Analytics in 12 months


5,500

data searches conducted


CHALLENGE: LAY A DATA-DRIVEN FOUNDATION FOR TRUSTED AI

Dr. Geraldine Wong is the Chief Data Officer at Singapore’s all-digital bank,
GXS; she’s banking on AI.

GXS, a banking consortium backed by Grab and Singtel, launched in 2022 to serve
a potential market of three million customers, with a particular focus on
consumers, entrepreneurs, and the self-employed. GXS offers novel banking
solutions such as their GXS FlexiLoan, which combines features of a credit line
and a personal installment loan to give consumers more control and flexibility
in managing their finances.

Dr. Wong believes that AI can be a strategic differentiator for the bank. “We're
looking at leveraging data assets, especially the ecosystem data of Grab and
Singtel, to better our customer experience, offer better products, and improve
risk management using data,” she says.

Dr. Wong knows that trusted AI results need trusted data. “Definitions need to
be accurate in order for the large language models (LLMs) to use the data,” she
says. “If you're fine-tuning your models or pretraining some of these models,
it's of utmost importance to have high data quality.” She also believes clear
data ownership is critical to ensuring only trusted data is used in GenAI
models.

Before the bank even launched, Dr. Wong and her team set out to build a strong
data culture at GXS. “In traditional settings, decisions get made based on
experience and gut feel,” she says. “In an ideal state, data culture would be
everyone from the board to the CEO, from finance to HR, breathing and living
with data. The first thing they ask is, ‘What does my data tell me?’” To reach
that state, Dr. Wong’s team needed to ensure that data used for decision-making,
with or without GenAI, was discoverable and trustworthy.


THERE'S A LOT OF SKEPTICISM ON WHAT AI CAN DO. WE NEED TO TRUST THE DATA THAT
GOES INTO THE AI MODELS. IF ORGANIZATIONS AND THEIR CUSTOMERS ARE ABLE TO TRUST
THE DATA THAT THE ORGANIZATION IS USING FOR SUCH MODELS, THEN I THINK THAT'S A
GOOD STARTING POINT TO BUILDING THAT TRUST FOR AI GOVERNANCE OR RESPONSIBLE AI.

Dr. Geraldine Wong

Chief Data Officer, GXS Bank


OBJECTIVE: BUILD A STRONG DATA CULTURE TO SUPPORT AI-DRIVEN DECISION-MAKING

To create a strong data culture that supports the use of GenAI for strategic
decision-making, GXS needed to:  

 * Create a single source of truth for data 

 * Define data terminology and ownership

 * Implement data governance to increase trust


IMPLEMENTATION: CREATING A SINGLE SOURCE OF TRUSTED DATA

GXS chose Alation as an integral component of their cloud-native infrastructure,
which includes Snowflake, AWS, and Tableau. They chose Alation because of its
user-friendly interface that provides value to both technical and business
users.

Alation is the foundation for data governance at GXS. As a new bank, GXS used
Alation for metadata cataloging and tagging as they created their Snowflake data
lake. As new data is added to Snowflake, it is tagged in Alation to guide users
in the proper use of that data, including consumers’ personally identifiable
information (PII). They also used Alation to identify data owners and to create
a glossary to clearly define terminology. GXS relies on Alation’s lineage
capabilities to trace back source tables and understand downstream impact as
part of enabling users to better understand and discover their data assets.

 “Alation provides the platform and capability for stakeholders — business
stakeholders as well as enterprise — to be able to search for the data they
need, and for them to understand that the data that they need is defined such
that they have confidence in using that data for their business needs,” says Dr.
Wong.


ALATION PROVIDES THE PLATFORM AND CAPABILITY FOR STAKEHOLDERS … TO BE ABLE TO
SEARCH FOR THE DATA THEY NEED, AND FOR THEM TO UNDERSTAND THAT THE DATA THAT
THEY NEED IS DEFINED SUCH THAT THEY HAVE CONFIDENCE IN USING THAT DATA FOR THEIR
BUSINESS NEEDS.

Dr. Geraldine Wong

Chief Data Officer, GXS Bank


RESULTS: TRUSTED DATA DRIVES TRUSTED AI

Dr. Wong and her team have built a strong data culture at GXS; nearly all of the
bank’s 300 employees can access Alation to find trusted data. In the past year,
users have executed over 3,000 SQL queries and conducted over 5,000 searches
using Alation’s Google-like user interface. Today, Alation provides the single
source of truth for GenAI modeling and data-driven decision-making at GXS.

“We’ve created a data culture where people know and trust the data they’re
using,” says Dr. Wong. “They know where to find things, they no longer come to
us for definitions, and they know the workflows and who the data owners are.”
She doesn’t want to stop there. The next step is for people throughout the bank
to instinctively know which data and AI capabilities to leverage for their use
cases, whether they’re working on credit scoring, anti-fraud, or anti-money
laundering. “It’s all about leveraging AI capabilities, data, and technology to
drive these use cases and provide more convenience to our customers as well.”

“There's a lot of skepticism on what AI can do,” concludes Dr. Wong. “We need to
trust the data that goes into the AI [models]. If organizations and their
customers are able to trust the data that the organization is using for such
models, then I think that's a good starting point to building that trust for AI
governance or responsible AI.”

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INDUSTRY

Financial Services

USE CASE

Data discovery, governance

DATA PLATFORMS

AWS, Snowflake, Tableau


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