Build Data-Driven culture in your
company with complete solutions
We are reference in building services of Cloud Data, Big Data Analytics (from Dashboards/BI to AI algorithms), Data Literacy, and consultancy. We help our clients achieve great results by transforming data into information.
At Dojo, we seek to talk about tour clients’ business, and through immersion in their realities, we can help them identify problems that generate bottlenecks or limit their gains. With this diagnosis we deliver personalized and co-created solutions that ensure surprising results. Through the methodology we adopt, we could make deliveries extremely aligned with each manager needs.
Even though this is a complex theme, we seek to simplify our approach and solutions, understanding that data democratization depends much more on the accessibility to the theme.
Get to know our solutions
CONSULTANCY
Make your company go further. Count on Dojo consultancy to build this path!
Dojo consultancy is an excellent strategy for companies that wish to start building the Data-Driven culture. With the mapping of analytical maturity and opportunities, building of project roadmap, structuring of Data Office and data governance, the construction of the Data Journey and investments become much more solid and assertive.
With the consultancy it is possible to build clearer data strategy for the company, so that it can be data-driven over time.
DATA LITERACY
Data literacy is essential to help the company’s employees develop skills and necessary competences to understand, analyze, and make decisions based on data.
With the Literacy Program, companies can help their employees understand the value of data and how they can be used to improve processes, products, and services.
CUSTOM ANALYTICS
Efficiency for management through data
We build personalized Dashboards/BI solutions that make feasible, via data, a clearer, more concise, and safer view to guide strategic decision making.
Dashboard/BI solutions can help your company become more data-driven, and you can make more informed and strategic decisions, identify trends and opportunities, monitor performance, reduce costs and improve efficiency.
DATA INTELLIGENCE
We develop Data Science projects focused on business to accelerate power and quality in our clients’ decision making. These solutions extract knowledge and insights from large set of data using advanced techniques of data analysis, machine learning and artificial intelligence. The analysis results are often used to build predictive models that can be used to make predictions or decisions.
DATA
INFRASTRUCTURE
We prepare, design, create and manage the whole infrastructure necessary for data processing through cloud services and orchestration, focused on low cost. These designs are fundamental to ensure that companies will count on the necessary infrastructure to manage large volumes of data and business teams make informed decisions, based on reliable and precise data.
PRICING SOLUTION
Try now our Pricing solution and increase your profitability for the right price!
If you work with sales in large companies, you know the challenge of defining competitive prices for hundreds of different products. For this reason, we present our Pricing solution to help you overcome this difficulty.
Pricing Solution is a pricing strategy that adjusts the price of a product or service in real time, based on updated data and information, to maximize profit or revenue.
This solution works with the company’s data analyzing large amount of relevant data, such as history of sales, market data, information on consumer behavior, and other factors that may affect demand and supply of the product or service.
Keep Eye
Monitor with precision, decide with trust: Keepeye, your KPI tool.
Optimize your company management with our KPI management tool!
With our KPI tool, you can easily monitor your business area performance.
The solution was developed to measure and assess companies’ performance against their goals and targets. For that, the solution involves the building of their own KPIs by creating a simple and intuitive formula. It also brings a KPI library ready to be quickly used.
Obtain better management of your area through a solution that uses data and diagrams to show, easily, how are your indicators and the variations in them.
COMMERCIAL PROGRAM
Convert data into sales – potentiate your sales strategy with our data analysis solution!
Data analysis solution for commercial area with unique strategy that manages data and provides leaders and teams with information to identify the current scenario for strategic decision making.
Brands that rely on our work
See what our clients say
The technologies we use
Google Cloud Platform
We use Google Cloud Platform for creation and management of Data Warehouse, Data Lake or Data Mesh, and also for exploration of data to create intelligent solutions that actually add value. Within Google we use tools like BigQuery, Google Storage, Compute Engine, App Engine, Data Flow, Google Functions, Data Catalog, among many others, for data governance.
Microsoft Azure Cloud
We use Azure Cloud also for creation and management of Data Warehouse, Data Lake or Data Mesh, besides data exploration. In Azure we use the following tools: Azure DevOps, Blob Storage, Data Factory, Databricks, Delta Lake, and Synapse.
Amazon AWS
We also use Amazon AWS for creation and maintenance of Data Warehouse, Data Lake and Data Mesh. In AWS we use the following tools: Amazon S3, Glue DataBrew, Athena, AWS Lambda, etc.
PowerBI
We use PowerBI to create interactive dashboards for business analysis and data exploration.
Qlik
We use products like Qlik Sense to create visualizations and dashboards and deliver our solutions in an intuitive, clear and elegant way.
Databricks
We use Databricks as a collaborative environment for data engineering and science, building routines that transform data that will eventually be consumed by final intelligence solutions.
Apache Beam
Apache Beam enables developers to create data pipelines that can read and write in a variety of data sources, like data banks, file systems, message queues, and data flows in real time. The pipelines can also be used in operations of data transformation and aggregation, like filtering, mapping, and reduction, to prepare data for analysis or use in other applications. Apache Beam is designed to be flexible, scalable, and portable, enabling the processing of large volumes of data in a variety of cloud computing environments, like Google Cloud Platform, Amazon Web Services and Microsoft Azure.
Apache Airflow
Apache Airflow is an open code platform for management of work flow used to created, schedule and monitor data processing work flows. It was developed by Airbnb in 2014 and later donated to Apache Software Foundation, in 2016. With Apache Airflow, developers can create complex work flows that consist of several interdependent tasks. These tasks can be executed in different environments, like cloud computing clusters, Hadoop clusters and local machines. Apache Airflow also provides a friendly user interface to create, monitor, and manage work flows.
Apache Spark
Apache Spark is an open code data processing engine in cluster, designed to process large volumes of data at high speed. It provides API in several programming languages like Java, Python, Scala and R, and supports several data processing models, including batch processing, flow processing and machine learning processing. Spark is used in several industries for large scale data analysis, data flow processing in real time, and machine learning, and can be executed in several cloud computing environments.
Kubernetes
Kubernetes is an open code platform for orchestration of containers used to automate the implantation, dimensioning, and management of apps in containers. It was originally developed by Google in 2014, and donated to the Cloud Native Computing Foundation in 2015. With Kubernetes, developers can implant apps in containers in any infrastructure environment, like local data centers, public or private clouds. Kubernetes automatically manages cargo balancing, scalability and high availability of apps in containers, ensuring that they will be always in execution and available for use. Kubernetes is widely used in companies seeking to increase efficiency and scalability of its apps in containers, reducing the complexity for implantation and management of apps in large scale.
