Enterprise data platforms
We help you design, build and implement the enterprise data platform for your company. Our data engineering team will do this by adapting best practices and validated design patterns to your specific needs with an integrated combination of technology infrastructure and operational processes to govern all types of data, access it and deliver it to business units in pursuit of new business value.
Our vision of the data platforms
As new sources of corporate value, data and data analytics must be managed and governed at the highest level of the enterprise with:
Suitable operating environments, the new corporate digital facilities in the cloud.
A governed data sharing culture to drive the identification of new business opportunities.
An operating model to remove barriers between systems and silos and stimulate new process interactions.
The answer to all these new corporate needs is the corporate data platforms.
Data platforms provide a customized management model and operations framework focused on the business value of your data.
They allow you to own your data. Manage data resources as code, reusing and sharing them to achieve their innovation potential without compromising their privacy.
They solve the nightmare of data integration, creating unified connectivity with the original data sources, saving time and effort for your project teams.
They avoid data science experiment syndrome. Streamline your analysis processes, effectively extending your data models to large-scale corporate systems.
The Galeo Pattern
Our architectural approach to Corporate Data Platforms is both a foundational methodology and an architectural template that allows you to have the components and processes in place to meet four strategic mandates around data and analytics:
Data is a corporate resource. They will be reused in different contexts and processes in the data platform. A single, centralized and governed mechanism has to be in charge of releasing the data from the original silos.
The Data Platform is a marketplace for data and analytics solutions. Business users will have access to mechanisms to reuse and combine existing assets into new systems and solutions.
Companies need analysis products. Not just data science models. Data products must combine AI and ML algorithms, data transformation processes, integration and consumer interfaces. The platform must provide seamless mechanisms to easily integrate, test and scale the multiple components of a data product.
Data Platforms are a space of trust. Built on its trusted infrastructure, the platform provides security, governance and operating procedures so that companies and users feel safe and secure while exploiting all types of corporate data.
The advantages of our data platforms
Following the principles of the Galeo Pattern methodology, we build the architectural components and processes necessary to build your corporate data platforms. With our approach, the expected benefits of data platforms can be met, such as the following:
It solves enterprise-wide data integration challenges and provides a unified access point for all your data analytics projects.
Streamlines Data Product development processes, eliminating repetitive and time-consuming integration and deployment tasks.
Achieve maximum multitenancy by providing business units with reusable data assets and analytics.
Ensures privacy and security by deploying automatic governance and security procedures.
Accelerate the creation of new business models and new revenue opportunities based on your own data.
Contact us and we will help you build and optimize your enterprise data platform.
What is our Project Book? We wanted to document some of our most important projects and also reflect on our learnings and mistakes, and for this we have created this first Project Book that we share with you and that we hope to continue sharing in the years to come.