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Pura Licitación
A platform that brings together public, private and multilateral tenders from Latin America. Its AI assistant reads the bid documents and flags every opportunity in time.
puralicitacion.com ↗Data governance for companies
we manage your company’s data governance: clear rules, reliable information and personal data protection.
rules
who creates and approves each piece of data
ai
data ready for artificial intelligence
What is data governance?
Data governance is the set of policies, roles and processes that define how a company creates, stores, protects and uses its information. With a solid data governance model, every team knows which data is official, who is accountable for it and who can access it.
Scattered, conflicting data
Customers, products and figures live in different spreadsheets and systems, and every report shows a different number.
No owners, no rules
No one knows who creates, approves or fixes the information, or who is allowed to see it.
Personal data at risk
Customer and employee databases with no processing policies and no access controls.
Data governance services
We design and implement your company’s data governance, and run it with you until it works day to day.
Data maturity assessment
We evaluate how your company manages information today and where the biggest risks are.
Data policies and standards
Written rules for creating, naming, storing, sharing and deleting information.
Data owners and stewards
We define roles and responsibilities by area, with a data committee that makes the decisions.
Data quality and master data
Cleanup, deduplication and quality metrics for customers, products and suppliers.
Personal data protection
Processing policies, consent management and access controls to comply with privacy laws such as Colombia’s Law 1581 of 2012.
Data catalog and AI readiness
An inventory of your data, with its meaning and origin, ready for analytics and artificial intelligence.
Benefits of data governance
Decisions based on reliable data
One version of every figure, so leadership, finance and sales speak the same language.
Regulatory compliance
Lower risk of penalties for handling personal data, and better readiness for audits.
Less rework
Teams stop fixing information by hand, and processes become ready to automate with AI.
How we implement data governance
- Step 1
Assessment
We measure your company’s data maturity and prioritize the risks.
- Step 2
Governance model
We define policies, roles, a data committee and metrics.
- Step 3
Implementation
We clean the key data, build the catalog and adjust permissions and systems.
- Step 4
Operation and improvement
We support the data committee and measure data quality every month.
Projects with data in order
Reintegra
Handles the VAT refund for electric and hybrid cars in Colombia online: the UPME certificate and the DIAN request, for a fixed fee.
reintegra.io ↗Cal Control
Cal Control
ERP for laboratories: orders, samples, results, reagent inventory and electronic invoicing in one system.
Request early access →Data governance FAQ
What is data governance and why does it matter?
It’s the set of policies, roles and processes that organize how a company manages its information. It gives you reliable data, protects sensitive information and leads to better decisions.
What is the difference between data governance and data management?
Data governance defines the rules and who is accountable; data management is the day-to-day work of capturing, storing, cleaning and using information according to those rules.
How long does it take to implement data governance?
It depends on the size of the company and how many data sources it has. We start with an assessment and move in stages, beginning with the most critical data.
Does data governance help with privacy compliance?
Yes. It includes personal data processing policies, consent management and access controls, which are the foundation for complying with privacy laws such as Colombia’s Law 1581 of 2012.
Do I need data governance to use artificial intelligence?
It’s highly recommended. AI models are only as good as the data they receive: with organized, reliable information, agents and automations deliver better results.
Shall we start with a data assessment?
Tell us how your company manages information today and we’ll propose the first step.