Convert data into information, turning it into a valuable asset for organisations.
The heterogeneity, volume, availability and quality of the data, as well as the constant changes in business rules, are a permanent challenge for organisations.
The Data & Analytics area offers a strategy for the integration, processing and availability of data, based on a structured and consistent architecture. This architecture is based on the organisation of data in 3 different layers:
- Data layer – structural layer composed of data sources (Staging and DW)
- Access layer – ETL services and processes that expose data from Staging and DW to the applications that need the information
- Application layer – layer where internal and external data-consuming applications reside
Customers & Growth
Brand awareness and sentiment analysis, customer segmentation and identification of behavioural patterns.
Human Resources
Performance management, compensation and benefits and employee alignment.
Performance
Financial performance management, business projections and indicators and management of non-compliances.
Risk & Regulations
Reputational and IT risk, fraud detection and regulatory compliance.