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Key Benefits & Target Indicators
15-25% boost
in team collaboration
When data is easily accessible and well-governed, establishing a foundation of data-driven decision-making.
30% accelerated
business growth
By making faster, data-informed decisions that respond to evolving market demands and opportunities.
50% decrease
in data breaches
By using encrypted cloud storage and advanced encryption measures.
30% reduction
in compliance incidents
Through the implementation of strong, proven data governance frameworks.
15-25% boost
in team collaboration
When data is easily accessible and well-governed, establishing a foundation of data-driven decision-making.
30% accelerated
business growth
By making faster, data-informed decisions that respond to evolving market demands and opportunities.
50% decrease
in data breaches
By using encrypted cloud storage and advanced encryption measures.
30% reduction
in compliance incidents
Through the implementation of strong, proven data governance frameworks.
Next-gen payment ecosystem
Next-gen payment ecosystem
Challenge:
FEMSA Digital wanted to upscale its payment processing to efficiently handle ballooning transaction volumes, while enhancing customer experience across its varied business units.
Solution:
PALO IT delivered a next-gen payment ecosystem that transformed credit and debit card transactions, including designing a Payment Service Provider (PSP) with a scalable infrastructure.
1 million
Transactions processed every hour, thanks to superior payment infrastructure.
22 processes
Streamlined through the implementation of a DevSecOps platform.
264 million
Monthly payments securely managed through digital tokens.
Transforming into a data-driven organization
Transforming into a data-driven organization
Challenge:
DBS aimed to improve the use of its data across various touch points. Significant pain points in accessibility and usability hindered effective application. Consequently, structuring data knowledge to facilitate frictionless access, discovery, understanding, and trust in the bank’s data became a key goal.
Solution:
PALO IT worked with DBS to develop a metadata and context modeling strategy guided by principles that balanced time-to-metadata with time-to-information delivery. This involved digitizing, automating, and crowdsourcing processes wherever possible.
50%
Reduction in time spent on data discovery and analysis.
2x
More users actively accessing data platforms.
50%
Increase in the reuse of foundational data assets across projects.
Our ecosystem
