Modern Data Stack
The MDS is a set of tools and principles that allows companies of any size to capture, process, store, and make data products available following best practices.
How important is a modern data architecture?
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Data as strategic assets
Modern data architectures avoid lock-in and guarantee total portability of data and the logic that defines it.
Ability to deliver data products
Modern data teams already act as product teams. Your company's data architecture needs to be able to deliver data products quickly and with quality.
From monolith to data mesh
Gone are the days when data platforms were developed in a single on-premises infrastructure and were the exclusive preserve of large companies willing to invest the time and money needed to build so-called monoliths.
New visions of data architecture such as data fabric and data mesh have gained traction in recent years, requiring new technologies and processes to deconstruct monoliths and democratize data in organizations.
Scalable and elastic like a cloud
Building scalable data architectures for big data is possible. Techniques such as FinOps enable it to monitor and optimize costs to avoid surprises
Adapted for the data professionals of the future
In addition to data analysts, scientists, and engineering professionals, modern data teams include analytics, machine learning, platform engineers, and more.
AI-ready
Very soon, new language models, or LLMs, will be part of people's daily lives and companies need to be ready to adopt them into their workflows.
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Why implement the MDS?
Cloud-ready
Fully cloud-based data storage, centralized in the cloud, with highly scalable and flexible technology, which reduces infrastructure, installation, and maintenance costs.
Quality data as a principle
Good testing practices in data projects—as in modern software projects—guarantee the consistency and reliability of the results.
Trends
Thousands of startups use the Modern Data Stack as the backbone of their operations, while century-old corporations have already chosen it as the basis of their data driven transformation.
Modularity
The Modern Data Stack provides modularity between tools and even analyses. Through data contracts and analytics as code, data can be shared securely.
Simplicity to reduce technical debt in data
The transformation of data into SQL and Python is done centrally, bringing benefits such as democratizing information and reducing training and maintenance costs.
Governance by design
Centralized and easily accessible information in one place, simplifying data documentation and governance, allowing the creation of permissioning logics and the management of sensitive data in an integrated manner.
Versioning
Use of good versioning practices, enabling collaborative work on data projects, without generating conflicts, thanks to the modern ELT tools used in this approach.
Separation of environments
Creation of distinct environments for separating raw data, data in transformation, and final data, which facilitates access to different development environments.
Why implement the Modern Data Stack with Indicium?
References in the technologies that matter
Indicium is a reference in the main MDS technologies, being one of the first dbt consultancies in the world and the first Snowflake Select partner in Latin America.
But we don't limit ourselves to one or two technologies. We've worked with dozens of different MDS combinations, and we're technologically agnostic to choose the architecture that best fits your business.
Full-stack data company
We know that the data industry is dynamic, and challenges evolve according to business needs.
All of our teams are supported by our tech leads, guaranteeing quality delivery while maintaining the simplicity and flexibility of all-in-one squads.
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Too many tools, not enough standards
The data ecosystem is too dynamic, even for those immersed in it on a daily basis. To guarantee good choices, Indicium continually invests in mapping new technologies and building architecture standards that will stand the test of time.
We do our homework so that you can allocate resources where it matters—generating value with data.
Professionals ready for the future
Our professionals are experts in the Modern Data Stack, and we conduct weekly training sessions on new technologies and modern data processes.
We believe that if the tools change, best practices will last.
Data product culture
We have our own product development methodology based on accelerators, platform, and data products.
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In order to guarantee the execution of this methodology, all our teams are led by data product managers and trained in generating value with data products.
Consulting partners
To ensure that the Data-Driven Journey is aligned with the strategic goals of each organization, we have developed a series of proprietary consulting methodologies for analytical maturity, data product development, governance, and monitoring of data transformation processes.
Agnostic experience
We work agnostically with the main technologies of the Modern Data Stack (or the best architecture for your company).
Our advanced knowledge management and training processes guarantee a unique development experience while maintaining best practices in data governance and information security.
Our numbers:
Operations and processes
We continuously invest in mapping and improving data processes.
We use data analysis and AI to optimize our processes, just as we do for our customers.
We are pioneers in applying operations concepts to data, such as DataOps and MLOps.
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Transparency
Transparency is one of our core values, both internally and externally.
Our professionals are completely transparent about the company's results and their own indicators. Our clients receive detailed reports on all services carried out during the course of projects.
Quality assurance for long-lasting relationships
We believe in long-lasting relationships, and that's why we work continuously to guarantee excellence in the data services we provide.
All projects are regularly monitored by tech leads, data governance processes, and quarterly audits.
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Culture and retention
Indicium is recognized as one of the best companies to work for in Brazil, according to GPTW.
Our culture values diversity, innovation, and collaboration.
P&D (Accelerators)
Although we are a services company, we continuously invest in building accelerators, templates, and contributions to the open-source data community.
Our data science team also participates in Kaggle competitions to learn in practice through new challenges and advanced AI techniques.
Hiring process
The technical excellence of our services begins with our unique hiring process, which includes challenges for all positions within the company.
Our technical team is selected and trained through our training programs, ensuring quality and a culture unmatched in the market.
Through the LIGHTHOUSE program, we invest in training outstanding data professionals with a unique curriculum focused on combining theory and practice.
Competence-based training
Our People & Culture team develops a training program using a competency matrix with over 200 criteria, evaluated every six months for each role at Indicium.
Employees use a minimum of 10% of their working hours for training, studies, and various innovations initiatives.
We carry out weekly technical training through the TechTracks program, as well as leadership training programs,masterclasses with market reference professionals, and access to an internal course platform.
In addition, Indicium Academy is a benchmark in training Modern Data Stack professionals in Brazil, with more than 500 analytics engineering professionals trained.
Encouraging certification and technical reference
We value our team's culture of continuous learning and knowledge sharing through certification incentive programs and the DataBlogger program for creating technical content.
Our professionals have been featured in Modern Data Stack publications, and the Indicium Engineering blog is a reference on Medium for its technical content in the area.
Our figures:
Prepare your organization for decades of data-driven innovation.
Connect with us to learn how we can help.