
Context
Before working with iData, Cueros Vélez lacked a structured data management approach. There were no clear policies in place, information was duplicated and dispersed, roles and responsibilities were undefined, and there was no strong data culture to support technology adoption.

The Challenge
The lack of organization and limited technological awareness made it difficult to implement a solid Data Governance model. The absence of clear guidelines and a strategic vision restricted the company’s ability to fully leverage data as a valuable business asset.
Solution
A solid and sustainable data governance model
- +4 points increase in Data Governance maturity
- Adoption of new organizational data practices
Technologies Applied
- DAMA Framework
- Microsoft CAF Framework
- Microsoft Azure (Cloud Technology)
Satisfied clients across multiple industries
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FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Data & AI
What benefits does my company gain by implementing data and AI-based solutions?
By implementing data and artificial intelligence solutions, your company can make faster and more accurate decisions, automate processes, improve operational efficiency, reduce costs, and gain real-time visibility into business performance.
How can I tell if my company is ready for a data strategy?
Your company is ready if it handles large volumes of information, needs to improve decision-making, faces process inefficiencies, or requires greater operational visibility. During an initial consultation, we assess your data maturity level and define a tailored roadmap.
Do you work with companies across different industries?
Yes. iData supports organizations in sectors such as retail, logistics, technology, manufacturing, education, healthcare, and more. We adapt every solution to the specific context, challenges, and needs of each industry.
What sets iData apart from other data consulting firms?
We stand out by combining strategy, cutting-edge technology, automation, proven methodologies, and partnerships with global leaders such as Microsoft and Databricks. Our approach is comprehensive and results-driven.
How long does it take to implement a data or AI solution?
Timelines depend on the type of project, its complexity, and the company’s existing systems. However, most initial implementations can be delivered within 6 to 12 weeks, with visible progress from the early stages.
What type of support do you offer after implementation?
We provide ongoing support, monitoring, optimization, and strategic guidance to ensure the solution evolves alongside your business. Our expert team ensures the platform remains stable, secure, and aligned with your objectives.

