
Data Solutions
Load, Migration, Modeling, Data Lake and Big Data
One of the top challenges for companies that generate massive amounts of data is to take advantage of real-time analytics to efficiently support decision making and actions. All while protecting company's information, and compliance to General Data Protection Laws.
In this Digital Age, the ability to extract quality information from high volume and high speed data, integrated from all needed systems is not only a necessity, but also a competitive advantage.
Intelligent and timely decisions based on complex data sets, extracting insights from existing data sources, as well as modeling new opportunities, are possible with the new services technology can unleash.
Big Data for Big Decisions!

The importance of data for any company does not revolve around how much data one has, but rather which timely decisions one can make with it.

Customers who trust our solutions
Data migration
for SAP
Gerdau, UHG, Moura, Bunge, TIM, Herval, Arezzo, PDG, Medabil, Equatorial, Ceitec.
Modeling
Receita Federal, Serpro, TST, Câmara dos Deputados, Aneel, Ministério da Cidadania, STF, Embrapa, STN.
Data Integration
UOL, Samsung, Equatorial.
Sanitation
Gerdau, UHG, Moura, Bunge, TIM, Herval, Arezzo, PDG, Medabil, Equatorial, Ceitec.
Data Lake
Caixa, Ceitec, Gerdau, Samsung.
Big Data
Caixa.
Data Warehouse
Caixa, Ceitec, Gerdau, Samsung.

Technology
Data Integration
It is the combination of information from different data sources in order to provide a more consistent view of the processes. Solutions such as SAP Data Services, Pentaho, AWS Glue are examples of tools used.
Data Modeling and Metadata Manegement
Manage complex information architectures and visualize the potential impact of new technologies before implementation, enabling process improvement, avoiding potential risks and obstacles, simplifying the relationship between business and IT with intuitive operations through SAP PowerDesigner.
Big Data
Big Data is a term that is on the rise, but the problem of not properly handling this type of technology can result in high costs, in addition to reduced productivity. On the other hand, a well-established strategy can help organizations reduce costs and gain operational efficiencies by migrating heavy workloads to Big Data technologies, as well as deploying new applications to seize new opportunities. Tools like Pentaho, Amazon EMR are examples of solutions used to provide a more conducive environment for this type of technology.
Data Sanation
It consists of checking the database to eliminate duplication, preparing documents for standardization, preparing valid descriptions and attributes for the correct identification of items, among other functionalities using SAP Data Services as an example of a tool.
Data Warehouse
Store data in order to combine data management processes with advanced analytical functions, enabling more assertive decision making, in a simple way for the user to configure, use and share, with a quick result. SAP Data Warehouse Cloud and Amazon Redshift are two of the most popular and effective Data Warehouse tools on the market.
Data Lake
It allows the storage and analysis of data, allowing the management of various types of data from different sources in a centralized repository, with Amazon S3 and Hitachi Data Services as some of the tools we use.

Partners we trust



