Data & AI projects losing steam? Experience the Center of Excellence Difference
We are a team of professionals who share a serious passion for data technology and who have been at the forefront of modern data stack technologies before they had the snazzy name. We are not zealots who believe in technology for technology’s sake, we believe in technology to move business.
Our belief is that the modern data stack should be designed and implemented to keep your knowledge workers in the “flow” and connected to the most important heartbeat of your business, the data pulsing through all of the systems.
A data scientist is pivotal in extracting actionable insights from complex data sets to drive strategic decision-making and innovation. They employ a blend of statistical analysis, predictive modeling, and machine learning techniques to analyze and interpret large volumes of data. Their work involves cleaning and preparing data, developing algorithms, and creating data models that predict outcomes and optimize performance. Data scientists collaborate closely with business stakeholders to understand their challenges and objectives, ensuring that the insights generated are aligned with business goals. They also communicate these findings through clear visualizations and reports to assist in strategic planning and execution. By leveraging data, they help organizations identify trends, improve operational efficiencies, and capitalize on new market opportunities, making them essential to maintaining competitive advantage in data-driven industries.
The Data Modelers are professionals that prepare, structure and organize incoming data in the most useful way for specific purposes, usually with automatic procedures, maximizing efficiency and effectiveness in handling data across the companies. They are usually very proficient in SQL, tools and techniques to clean and modify raw data, plus have enough business knowledge to understand the use cases to make them as streamlined as possible. Data modelers make data usage on the company more efficient by automating repetitive tasks and transformations, freeing time of all other specialists and end-users to focus on their objectives and increase their effectiveness.
The Data Architects are professionals with ample skillset, responsible for designing, deploying and managing a whole data platform, and how the different teams and components will interact with it. They have an infrastructure background, with data engineering skills and a good understanding of cloud and saas services, and the part that each one plays in the whole schema. Data Architects are pivotal in creating bridges between technology, the different data specialists, software developers and business users, while complying with regulations and maintaining scalability.
Specialist who focuses on establishing and ensuring adherence to an organization's frameworks, policies, and procedures for managing data throughout its lifecycle. This role is crucial for maintaining the quality, security, legality, and usability of data within an organization. Often called Data Stewards, they have broad knowledge, attention to detail, and strong organizational capabilities. They know regulations, understand legal requirements, and can translate them into technical policies and guidelines for other specialists. The role of a data governance specialist is vital for making sure that data is a secure, well-managed asset that supports the strategic goals of the organization.
A data architect designs and constructs data frameworks that align with an organization's strategic goals. This role involves creating blueprints for data management systems that integrate, centralize, protect, and maintain data sources. Data architects ensure that the data infrastructure supports scalability, efficiency, and security requirements. They work closely with IT teams and business stakeholders to identify and implement the most suitable database management systems, data modeling methods, and technologies. Their responsibilities also include optimizing data flows and storage to facilitate easy access and analysis by data scientists and analysts. By establishing robust data architectures, they enable companies to leverage big data insights effectively, supporting decision-making processes and driving business innovation. Data architects are pivotal in transforming raw data into a structured asset for operational excellence and competitive edge.
An AI developer designs and implements artificial intelligence solutions to enhance business processes and products. They work closely with data scientists and engineers to integrate AI technologies such as machine learning, deep learning, and natural language processing into applications. Their role involves coding, testing, and deploying AI models, as well as maintaining the underlying AI infrastructure. AI developers must also ensure that AI implementations align with business objectives and comply with ethical standards and regulations. They play a crucial role in translating complex technical concepts into actionable business strategies, making them key contributors to innovation and competitive advantage in technology-driven industries. Their expertise helps drive efficiency, personalize customer experiences, and solve industry-specific challenges through smart, data-driven approaches.
“Success with the Modern Data Stack is key to achieve rocketship growth in the disruptive fintech business environment. Marcelo Soto is someone who knows what that that success looks like and how to implement it. A team assembled by him on your company’s objective is like ensuring a successful lift-off for your digital start-up.”
“When we were initially building Rappi, the Modern Data Stack hadn’t been widely accepted or proven yet. Work that Marcelo Soto’s team did to test these components at scale and then link them together in our environment were critical to our growth and our entry into new markets and product lines. Marcelo’s team helped us build the data platform that turned our data into a competitive advantage.”
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