South System
EN
Data Service

Data Services

Do you know how to transform company data into strategic information for your business? Through specific services of Data Service it is possible to structure, transform and improve data, making them valuable assets to ensure agility and precision in decision making.

Data Governance
DataGovernanceData ArchitecureData QualityMeta-dataData Warehousing &Bussiness IntelligenceReference &Master DataDocuments& ContentData Intengration & InteroperabilityData SecurityData Storage & OperationsData Modeling & Design

Fundamental to structuring data management, this service includes consultancy and assistance for mapping and developing rules, processes and standards for working with data.

Data Engineering

Capture, extraction, cleaning, preparation, transformation, combining, loading and data storage.

Data Engineering
  • – ETL (Extraction, Transform, Load): extraction, cleaning, preparation, transformation, consolidation and loading of structured data.
  • – Data Warehousing: storage and organization of data structured in such a way as to make it possible to consult, combine and analyze data.
  • – Data Wrangling: acquisition, extraction, cleaning, preparation, transformation, combination and loading of unstructured data.
  • – Data Lake: storage and organization of unstructured data (raw data) that make it possible to consult, combine and analyze data.

Data Analytics

Data analysis and delivery of reports, visualizations, insights and models essential for decision making.

Data Analytics
  • – BI Services: aggregation and analysis of structured data for visualizations in dashboards or reports.
  • – Data Analytics (Queries/Statistics): data analysis for exploration, search and validation of standards and obtaining facts and insights.
  • – Advanced Analytics: in-depth analysis of data through Data Mining and Machine Learning.

Cognitive Computing

Artificial intelligence for decision-making automation based on data that requires the application of some type of specific knowledge.

Cognitive Computing
  • – Machine Learning/Deep learning: self-learning via pattern recognition in data for reproducing decision making
  • – NLP/NLU: computational techniques for understanding, interpreting and generating textual content written in human languages.
  • – Computer Vision: computational techniques for recognizing and obtaining information in scanned images.