Data Management

Data is your best resource, unleash its full potential.

Lead the market

The importance of having a partner in Data Management.

Data Governance

Architecture

Design

Security

Generative AI

Integration and interoperability

Data Governance

What is it?
Strategic planning that guarantees availability, usability, consistency, integrity and security of information.

What does it solve?
-Returns the reliability of the data.
-Eliminate high expenses
-Reduces risks when making decisions
-Avoid information leaks

Architecture

What is it?
Definition of a structure tailored to the organization.

What does it solve?
-Speed up data recovery.
-Optimizes information extraction operations.
-Avoid duplicate efforts and resources.
-It allows to increase competitive advantage.
-Greater visibility of business opportunities.
-Suppresses inefficient processes.
-Eliminate unnecessary expenses.

Design

What is it?
Data analysis and evaluation, construction, testing and maintenance stage.

What does it solve?
-Has a positive impact on the reputation of the organization.
-Avoid damaging the brand image and restore the trust of customers and business partners.

Security

What is it?
Protection and setup of privacy and access to data.

What does it solve?
-Guarantees the privacy of sensitive information.
-Reduces the risk of cyber attacks.
-Order finances and avoid loss of money in damages.
-Prevents lawsuits and legal sanctions.
-Speedlines leak detection processes.

Generative AI

What is it?
Artificial intelligence applied to data management.

What does it solve?
-Perfect and accelerate obtaining results.
-Allows real-time automation and precision of the process.
-Reduces charging and storage time.
-Ensures revenue, prevents risks and losses.

Integration and interoperability

What is it?
Data transformation and structuring with a long-term focus.

What does it solve?
-It allows to create appropriate strategies.
-Cancels high costs.
-Early detection of problems.
-Optimal data collection, processing and storage.
-Correct management of accesses and roles.
-Avoids granularity and favors the interpretation of data.

Up to 10 talents in your squad in less
than 7 days

Data Engineer

Design, build and maintain data processing systems, ETL pipelines and data warehouses. Ensure data is available, accessible and clean for further use.

Python Java ETL

Database Administrator (DBA)

Manage databases, ensuring their availability, performance and security. Perform database backup, restoration, automation and maintenance tasks.

SQL NoSQL IA

Data Scientist

Use data analysis techniques to extract meaningful insights and patterns. Develop predictive and machine learning models to solve business problems.

Analysis Python Statistics

Machine Learning

Data Analyst

Examine and visualize data to provide useful information to interested parties. Create reports and dashboards to support decision making.

Research Analysis SQL IA

Data Architect

Design the data architecture of an organization, define data models and structures; Ensure data integrity and governance.

Architecture Governace

Strategy Storage

Data Quality Analyst

Evaluate and ensure data quality, identifying integrity, consistency and accuracy issues. Develop and apply data quality policies.

Evaluation Quality Profiling

Communication

Success story: Digital transformation
project for Kavak Company.

Integration and architecture of all customer operating systems

AWS

Python

Generative AI

12 specialist profiles in FullStack, Python, Generative AI,
AWS + Service Delivery Manager and CTO

Time: 18 months

What did the client need?

Create a comprehensive structure that allows all the company’s information to be centralized in one place, have the data, analyze it and make decisions about it.

What did we do?

Based on a strategy of data governance, data processing and analysis with generative artificial intelligence, our team provided expert knowledge in the design of a WareHouse architecture and the comprehensive execution of a customized plan.

What added value did Coderio provide?

The joint work of Python engineers and BI collaborators, together with cybersecurity, Generative AI, legal, compliance, data governance and platform teams, allowed Kavak to reach the goal in record time and reduced iterations to a minimum.

“Coderio has been extremely valuable to our company, both in terms of their expertise and their positive attitude. They have been instrumental in helping us build our data warehouse from the ground up, and the talent and leadership of their engineering staff have enabled us to make rapid progress and achieve our objectives.”

Being a strategic partner is much more than providing technology solutions

Entérate por qué Coderio está detrás de las mejores marcas internacionales.

Data
Management

Data is your best resource, unleash its full potential.

Lead the market

The importance of having a partner in Data Management.

Data Governance

What is it?
Strategic planning that guarantees availability, usability, consistency, integrity and security of information.

What does it solve?
-Returns the reliability of the data.
-Eliminate high expenses.
-Reduces risks when making decisions.
-Avoid information leaks.

Architecture

What is it?
Definition of a structure tailored to the organization.

What does it solve?
-Speed up data recovery.
-Optimizes information extraction operations.
-Avoid duplicate efforts and resources.
-It allows to increase competitive advantage.
-Greater visibility of business opportunities.
-Suppresses inefficient processes.
-Eliminate unnecessary expenses.

Design

What is it?
Data analysis and evaluation, construction, testing and maintenance stage.

What does it solve?
-Has a positive impact on the reputation of the organization.
-Avoid damaging the brand image and restore the trust of customers and business partners.

Security

What is it?
Protection and setup of privacy and access to data.

What does it solve?
-Guarantees the privacy of sensitive information.
-Reduces the risk of cyber attacks.
-Order finances and avoid loss of money in damages.
-Prevents lawsuits and legal sanctions.
-Speedlines leak detection processes.

Generative AI

What is it?
Artificial intelligence applied to data management.

What does it solve?
-Perfect and accelerate obtaining results.
-Allows real-time automation and precision of the process.
-Reduces charging and storage time.
-Ensures revenue, prevents risks and losses.

Integration and interoperability

What is it?
Data transformation and structuring with a long-term focus.

What does it solve?
-It allows to create appropriate strategies.
-Cancels high costs.
-Early detection of problems.
-Optimal data collection, processing and storage.
-Correct management of accesses and roles.
-Avoids granularity and favors the interpretation of data.

Up to 10 talents in your squad in less than 7 days

Data Engineer

Design, build and maintain data processing systems, ETL pipelines and data warehouses. Ensure data is available, accessible and clean for further use.

Python Java ETL

Database Administrator (DBA)

Manage databases, ensuring their availability, performance and security. Perform database backup, restoration, automation and maintenance tasks.

SQL NoSQL IA

Data Scientist

Use data analysis techniques to extract meaningful insights and patterns. Develop predictive and machine learning models to solve business problems.

Analysis Python Statistics

Machine Learning

Data Analyst

Examine and visualize data to provide useful information to interested parties. Create reports and dashboards to support decision making.

Research Analysis SQL IA

Data Architect

Design the data architecture of an organization, define data models and structures; Ensure data integrity and governance.

Architecture Governance Strategy

Storage

Data Quality Analyst

Evaluate and ensure data quality, identifying integrity, consistency and accuracy issues. Develop and apply data quality policies.

Evaluation Quality Profiling

Communication

Success story: Digital transformation project for Kavak Company.

Integration and architecture of all customer operating systems

AWS

Python

Generative AI

12 specialist profiles in FullStack, Python, Generative AI, AWS + Service Delivery Manager and CTO

Time: 18 months

What did the client need?

Create a comprehensive structure that allows all the company’s information to be centralized in one place, have the data, analyze it and make decisions about it.