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Key Benefits & Target Indicators
50% more efficient
compliance efforts
Getting on board with AI and data governance frameworks can lead to a sizable reduction in the time and resources required to comply with regulations
40% reduction
in data risk
By establishing top-to-bottom governance policies, companies can reduce their data risk exposure.
30% faster
model deployment
Organizations that adopt structured governance frameworks can and will experience a noticeable bump in the speed of AI model deployment.
60% boost
in data quality
With effective, AI-powered data governance solutions, companies will see a marked improvement in data quality.
50% more efficient
compliance efforts
Getting on board with AI and data governance frameworks can lead to a sizable reduction in the time and resources required to comply with regulations
40% reduction
in data risk
By establishing top-to-bottom governance policies, companies can reduce their data risk exposure.
30% faster
model deployment
Organizations that adopt structured governance frameworks can and will experience a noticeable bump in the speed of AI model deployment.
60% boost
in data quality
With effective, AI-powered data governance solutions, companies will see a marked improvement in data quality.
ESG data platform for carbon accounting
ESG data platform for carbon accounting
Challenge:
Concept 4, a global sourcing company, faced increasing demand for ESG data transparency from its 45 clients, necessitating the automation of their carbon accounting processes.
Solution:
PALO IT developed an ESG data platform to bolster their governance and automate carbon accounting and provide a 360° view of performance aligned with Science Based Targets initiative (SBTi).
5.6K tons
Of actionable carbon reduction identified: Clearing a path for significant carbon reductions within Concept 4's operations and supply chain.
350+
Supplier contracts transformed: Improving supplier relationships, and enabling better alignment with sustainability goals.
2,500+
Products forecasted in carbon emissions: Providing clients with detailed insights into emissions related to product lifecycle management.
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 governance 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.
Establishing an optimal governance model for data lake
Establishing an optimal governance model for data lake
Challenge:
Banco Santander sought to optimize the structure of their data to enhance results and improve decision-making. They approached PALO IT to coordinate activities related to big data, forming a committee to align their strategy with corporate objectives.
Solution:
Our team aligned the company’s architecture, governance, and institutional data quality strategies. What’s more, we designed and formalized the institutional regulatory framework for big data, implementing dashboards for easy oversight.
18 month
Project from onset to finish.
50%
Reduction in time spent on data discovery and analysis.
Consistency
Established uniform definitions and metrics, leading to better decision-making processes.
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