Efficient engineering

correct, available and actionable data

Discover our data engineering solution for transforming complex information into strategic results for your business

Why look at data engineering?

Centralized, organized and accessible data enables agile and accurate analysis of an organization's situation, highlighting risks and opportunities. With this information, management can make more informed and strategic decisions, improving the assertiveness of their actions.

An essential step in guaranteeing structured and reliable data for analysis is through data engineering. This process involves designing and building solutions capable of collecting, storing, transforming and analyzing data, whether small or large-scale.

For medium-sized and large companies that are growing and transitioning to digital processes, such solutions are crucial.

With multiple disconnected systems, it is almost impossible to cross-reference information efficiently. Data engineering is the key to integrating this data, ensuring accurate analysis and maintaining competitiveness in the market.

At equal, we organize and guarantee the quality of your business data, centralizing and cleansing information from areas such as marketing, sales, finance and operations. We automate ETL and ELT processes, reducing the time spent on manual tasks and minimizing errors. With the data infrastructure under our management, your team can focus on strategic activities, while leaders and managers concentrate on your organization's core business.

What do we do?

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Data pipelines and integration

We extract and integrate data from different sources and systems in an automated way, organizing the architecture to meet the specific needs of your business. Our processes guarantee the transfer and transformation of data, consolidating it in a standardized way in data warehouses or data lakes, making it accessible and ready for strategic analysis.

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Infrastructure and scale

We use the latest technologies on the market and the infrastructure of the main cloud platforms to create scalable and secure solutions. In this way, we guarantee adaptability to the long-term growth of your data. We adopt strict security measures, ensuring compliance with regulations such as the LGPD (General Data Protection Act).

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Monitoring and maintenance

We implement continuous monitoring of data systems to ensure their proper and uninterrupted operation. We identify and resolve faults, optimize processes and guarantee the continuity of data flows. In addition, we carry out proactive updates and improvements, in line with business needs, to maintain the efficiency and reliability of operations.

Development stacks and tools we use

What our customers say

Benefits of invest in data engineering

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Operational efficiency with automation of data processes (ETL | ELT)

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Reducing time spent on manual tasks and optimizing flows

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Consistent, accurate and duplicate-free data for reliable analysis

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Data infrastructure ready to grow with the company

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Available and actionable data to guide decision-making

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Data stored and handled securely

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Hours saved on manual and repetitive data manipulation work
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Our cases

ABC Glofox

How ABC Glofox invested in the Business Intelligence functionality of its platform to create a new source of revenue and improve customer loyalty

Mormaii

How the Mormaii Integrated Studios network gained agility and efficiency in management and strategic decision-making by investing in Business Intelligence

Frequently asked questions

It is an advisory service for mapping your organization's data sources and implementing processes, tools and technologies that automate the collection, transformation and loading of data (ETL / ELT) from your business and/or company department. At the end of a data engineering project with equal, your organization will have a data warehouse or data lake, with data that is efficiently structured and accessible for further analysis and the creation of dashboards.

Investing in data engineering with equal means guaranteeing the quality and integrity of your company's data. Disorganized databases can contain duplicate, incomplete or inconsistent information, which leads to wrong or inaccurate decisions. With good organization, data becomes reliable and easily accessible to all departments, facilitating analysis and more assertive decision-making.

Companies often generate data in various systems, such as ERPs, CRMs and sales platforms, and without proper integration, this information can become fragmented. Data engineering makes it easier to unify these sources, creating a single view of the business, which makes it possible to identify trends, opportunities and risks more clearly.

Automated data collection and transformation processes reduce the time spent on manual tasks such as consolidating reports, allowing staff to focus on more strategic activities. With well-structured data pipelines, information flows between internal and external systems become faster and less prone to errors.

This is an advisory service, i.e. it includes consulting and implementation. We map processes and data sources based on interviews with your team. In addition, we will request access to tools and systems so that we can better understand your context and create automation for data collection, handling and processing (ETL / ELT). Our team will give you all the guidance you need to hire the necessary technologies, such as a data warehouse or data lake. At the end, you will have automated data processes and will receive technical documentation of the work done.

The investment varies according to the scope of the project and the specific needs of the company. We offer a personalized proposal after the initial analysis.

You can contact us via our contact form, email or Whatsapp available on the page. We are happy to discuss your needs and how we can help.