WE ARE SURROUNDED BY DATA
TO GIVE IT VALUE WE NEED TO ORDER IT
DATA INTEGRATION
#SERVICES
It is no longer new to tell you that we are surrounded by a large amount of data, ranging from traditional internal operational data stored in Management Systems (ERP), Customer Relationship Management Systems (CRM), to external data from social networks (Social Data), sensors and devices (IoT), public data (Open Data), Emails, Blogs, Documents, and many more.
You can have the best analytics platforms and the best minds... but if the data is not well managed, you will not be able to obtain the VALUE.
Data Architecture
Data architecture is THE BASE.
It must be aligned with the BUSINESS data model, in order to then create integrations, storage methods, metadata, and governance.
The architecture considers how data should be stored (on-premises, cloud, hybrid) and how it should be combined with different sources, both internal and external.
We can help you understand your data inventory, your needs, and plan the ideal strategy to get the best out of your data, optimizing access and security.
Data Engineering
Data engineering studies how data should be accessed and used for analysis.
It includes Extraction, Transformation and Loading (ETL) processes that determine how data should flow from different internal and external sources, how it should be combined and cleaned until it is stored in a repository ready for analysis and exploration.
Data engineering work involves batch processing in real-time, data availability through APIs, query optimization, the complete ETL flow, monitoring of the designed and implemented architecture.
We help you implement your data repository, your data lake, thinking about the business and the needs of the analysts.
We can enrich your data lake using external data
