WNS Triange, the data CoE and analytics CoE brings together domain experience, delivery capabilities, functional and technology best practices to help achieve excellence.
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Analytics Center of Excellence | Data CoE |Analytics CoE| WNS Triange
1. This is our story of co-creating
an analytics-led Master Data
Management (MDM) solution to
drive a 360-degree customer
view for a leading US bank.
Master Data
Management
Transforms
Customer
Experience for
a Leading Bank
2. Banks tend to house customer data across multiple systems. However, most of these systems work in
silos, preventing banks from gaining a uniļ¬ed customer view. This has several repercussions ā from
creating various proļ¬les of the same customer to targeting unintended recipients with
communication and promotional campaigns to missing out on upselling and cross-selling
opportunities. Banks also run the risk of incurring penalties and facing irreversible reputational
damage. An integrated data management solution becomes inevitable in a scenario like this.
As we knowā¦
We leveraged Triange Consult, a key pillar of WNS Triange (our data, analytics and AI practice), to
provide advisory services to the client. We helped the client identify the right technologies and deļ¬ne
the end-to-end architecture for the MDM solution.
The challenge for our client wasā¦
As the consulting partnerā¦
With Triange NxT, another critical pillar of WNS Triange, we combined best practices, and proprietary
frameworks and accelerators to implement an analytics-led MDM solution. The solution integrated
customer data residing across various disparate systems. It acted as a single repository, cleansing and
providing a āgolden recordā with relevant, latest and high-quality data points for each customer.
Key aspects of our MDM solution included:
ā Proprietary accelerators such as data proļ¬ling tools, data matching and merging algorithms, and
knowledge graphs enabling quick delivery and better accuracy
ā Custom user interface for data stewards to manage system failures and conļ¬icts
ā Robust data governance practice with an added layer of security to ensure the highest
data standards
ā Data security and entitlement framework to provide the right access to the right users
ā Metadata repository for quick reference of data elements and documentation
ā Data consumption layer with application programming interfaces for MDM consumers
As the co-creation partnerā¦
To achieve a single aggregated view of customer data across various Lines of Business (LOB) and
applications. The bank required a āgolden recordā of high-quality data points to serve customers in a
more personalized, friction-free way while also improving data governance.
The bank wanted a āsingle source of truthā for its customer data, leading to accurate insights, reduced
data redundancy, improved upselling / cross-selling and enhanced collaboration between business
units. It also wanted to avoid communication errors, e.g., sending payment reminders to the wrong
recipients and upsetting loyal customers. The module was expected to support compliance-related
reporting as well.
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3. Enabled the bank to improve customer experience signiļ¬cantly. Authorized users across LOBs could
drive targeted growth through personalization. Other beneļ¬ts included:
ā 95 percent increase in data quality scores by reducing duplicates and data anomalies
ā Higher returns on analytics investment
ā Robust data governance
Potential beneļ¬ts included a 50 percent reduction in risk incidents and a 10 percent increase in
upselling and cross-selling opportunities. Moreover, our ļ¬exible engagement model allowed the bank
to ļ¬ne-tune the solution on the ļ¬y.
Data-led insights from a single,
authentic repositoryā¦
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