Puntos Colombia Builds a Self-Service Data Culture with Select Star

Puntos Colombia, one of Colombia’s largest customer loyalty platforms, needed to modernize its core data infrastructure and enable self-service data access to business users across the company. With a small data team serving over 200 employees, the team turned to Select Star to transform how data is documented, discovered, and consumed. Through a company-wide Data Champions program and intelligent data discovery from Select Star, Puntos Colombia now empowers employees to access and analyze data independently, freeing up the data team to focus on strategic initiatives.

80+
business users trained and onboarded through the Data Champions program in the first year
100%
of data documentation centralized and maintained in Select Star
Industry:
Loyalty & Rewards / Consumer Data
Company size:
200+ employees

Challenge

Data bottlenecks and undocumented knowledge slowed business insights

As Puntos Colombia grew to support over 27 million consumers and 5,000+ small businesses on their platform, they knew their infrastructure needed an upgrade. They had to rebuilding core business processes on a custom-built platform to replace a legacy system that could no longer support their scale and evolving needs. This migration included redesigning how customer and transaction data was structured, managed, and delivered across the organization. At the same time, the company needed to expand access to its data beyond a small team of 12 analysts and engineers without increasing support bottlenecks or compromising data quality. But several challenges stood in the way:

  • Data access was dependent on the data team
    Business users couldn’t easily find or understand the data they needed. Nearly every question about customer or partner behavior resulted in a ticket to the data team, creating a backlog and slowing decision-making.
  • Documentation was fragmented and inconsistent
    Metadata lived in Excel files or in the minds of team members. Most pipelines weren’t yet documented in dbt, and the lack of a centralized catalog made onboarding and collaboration difficult.
  • Business users lacked intuitive tools to understand the data
    Without clear metadata or lineage, non-technical teams relied heavily on analysts. The company wanted to enable self-service but didn’t have the infrastructure or training programs in place to support it.
  • Migration increased urgency for better metadata
    With new data models being built for the custom platform, the team needed visibility into existing lineage and structure. Without a better solution, the migration risked duplicating old problems in a new system.

Puntos Colombia needed a way to scale data access, reduce support burden, and make its metadata usable and visible across the organization. With only a handful of people who understood their data model, turn around times for data questions were too long for the company to be able to support their growing customer base.

testim icon

Every time someone needed data, they opened a ticket. We couldn’t keep up.

Juan Esteban Serna Restrepo

Data Governance Manager

Solution

Empowering business users with metadata, training, and intuitive tools

Puntos Colombia selected Select Star to support both their technical migration and their broader data enablement goals. After evaluating enterprise solutions like Collibra and Alation, the team chose Select Star for its practical balance of functionality, ease of use, and cost. The rollout focused on three key areas:

  • Centralizing documentation and lineage: The data engineering team used Select Star to document core tables, fields, and lineage. They organized existing assets, cleaned up outdated structures, and made metadata accessible to the broader company.
  • Launching a company-wide Data Champions program: To build data fluency across the business, Puntos Colombia created a training program focused on SQL, metadata, and dashboarding. Every quarter, 30 to 50 employees participate in live courses, with personalized support from analytics specialists.
  • Enabling business users with contextual metadata and AI: Select Star gave business users the ability to explore datasets, understand definitions, and navigate relationships between tables—without needing to open a ticket. Teams also use Select Star’s AI features to generate SQL starting points and speed up exploration.

Together, these efforts helped shift the culture from ticket-based support to empowered, self-service data access.

testim icon

Select Star has the context our users need. It's more than a tool. It’s the foundation for our self-service data culture.

Juan Esteban Serna Restrepo

Data Governance Manager

Result

A scalable, self-service analytics culture

With Select Star, Puntos Colombia has built a modern, collaborative data culture. Documentation is no longer an afterthought. A dedicated subteam now manages digital analytics documentation and maintains a business glossary directly within the platform. Business users actively explore metadata, generate SQL using built-in AI, and build dashboards in Tableau or Excel without needing to rely on the data team.

The shift to self-service analytics has significantly reduced ticket volume and boosted data literacy across departments. Select Star is now the foundation of their data enablement strategy. As a result, the company has seen measurable improvements in how teams access, use, and collaborate around data:

  • Improved Data Access: Business users across the company can now independently explore metadata, understand table relationships, and answer data questions without filing tickets.
  • Faster Time to Insight: Select Star’s AI-generated SQL and intuitive interface help users quickly locate relevant data and build queries, significantly reducing time spent on analysis.
  • Centralized Documentation: All core tables, fields, and lineage are now documented in Select Star, replacing fragmented Excel files and undocumented tribal knowledge.
  • Reduced Support Load: The number of internal data requests has dropped as more employees become self-sufficient through the Data Champions program.
  • Scalable Training Program: Puntos Colombia trains 30–50 employees every quarter through a structured curriculum on SQL, metadata, and dashboarding—building a more data-literate organization.
  • Improved Collaboration: Business users now actively contribute to documentation quality by suggesting improvements through forums, while data engineers maintain ownership and consistency.

Select Star helped Puntos Colombia turn a complex migration project into an opportunity to reshape how the company works with data. By centralizing documentation, making metadata accessible, and launching a company-wide training program, the team laid the foundation for scalable, self-service analytics.

The impact is clear: business users no longer rely on tribal knowledge or wait on support tickets to get answers. They explore data independently, contribute to documentation, and build the dashboards they need, backed by reliable metadata and lineage.

As the platform and data programs evolve, Select Star continues to support the team’s goals: giving people the context they need to work faster, answer questions confidently, and use data more effectively across the business.

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