Data & Analytics
Accelerating AI with modern data and analytics platforms
We modernize data platforms and apply generative AI and agents to turn decisions into competitive advantage.
Challenges
The challenges that most hold back data evolution
Modernizing the data platform
to support decisions and scale Analytics and AI at lower cost.
Democratizing data and AI
speeding up time-to-insight across the whole company.
Evolving toward data products
moving from one-off analyses to continuous delivery.
Applying Advanced Analytics and AI
with use cases that generate real business value.
Governing data with confidence
to enable AI at scale, with security and compliance.
Data & Analytics with AI
Where we stand out in using data & AI with our clients
Organize, govern and democratize data
Strategy
Data & AI Strategy
Maturity assessment, governance diagnosis and a roadmap for data and AI at scale.
Platform
Data Modern Engineering & AI Platforms
Modernization of architectures and cloud platforms with continuous squads.
Governance
AI Governance & Trust
Quality, compliance, cataloging and security to meet regulatory requirements.
Create value and use insights
Intelligence
Data Cells
Data products, executive dashboards, ML and analytical AI for business decisions.
Experience
Hyperpersonalization
Customer intelligence, advanced segmentation, CDP and smart journeys.
Agentic
AI & Agents
Generative AI and autonomous agents, from strategy to MLOps and lifecycle governance.
Architecture · Our vision
Data platform as the foundation that enables AI
Generative Layer / UI Applications
Where value meets the user
The final interface where generative AI takes shape: chatbots, portals, mobile and enterprise integrations, enabling new models of interaction with clients and employees.
Agentic Platform Layer
The layer that runs intelligence
Operationalizes intelligent tasks end to end: agent orchestration, systems integration, information and business-rule validation, with human oversight.
AI Governance Layer (GRC)
Security, trust and accountability
Policies, controls and mechanisms that ensure applications are secure, scalable and aligned with ethical and regulatory values: compliance, privacy, risk management and human oversight.
Foundational Models
The architecture's adaptable brain
Foundational LLMs, open-source or proprietary, for reasoning, language understanding and content generation. The model choice defines cost, accuracy and fit for sensitive data.
Lakehouse (Data Foundation)
The source of truth that feeds AI
Ensures AI operates on clean, reliable and well-structured data: ingestion, integration, quality, governance and real-time or batch pipelines. Without robust data, models degrade and produce inconsistent responses.
Hyperpersonalization Hub
AI & Analytics
- Building predictive models for recommendations
- Dynamic segmentation and real-time personalization
- Automated A/B testing and optimization algorithms
- Performance dashboards and reports
- Web Analytics
- Customer 360
- Models/Segmentation
Engineering and development
- Personalization implementation on site and app
- Integrations between Salesforce and Data Lake
- APIs for data activation and syncing
- Secure data collection and management, compliant with LGPD
- Tagging/Web Funnel
- Site/App/Channel Dev.
- Google GA4/Amplitude
Strategic design
- User research and customer journey
- Data-driven persona creation
- Definition of flows and personalization strategies
- Audience Analysis
- Digital Marketing/SEO
- Personalization Use Cases
Growth marketing
- Creating and running hyperpersonalized campaigns
- Conversion funnel optimization based on behavioral data
- Using AI to create and test dynamic creatives
- Personalization in media buying and smart remarketing
- Marketing Automation
- A/B Testing
- Journey Builder
CRM & Salesforce
- Advanced audience segmentation
- Campaign automation and customer journeys
- Message personalization
- Engagement monitoring and flow optimization
- CDP/DMP
- Orchestration (Salesforce Data Cloud / Marketing Engagement / Personalization)
End-to-end personalization
AI & Analytics. Predictive models, dynamic segmentation and automated testing.
Engineering and development. Personalization on site and app, integrations and LGPD-compliant APIs.
Strategic design. Research, personas and data-driven personalization flows.
Growth marketing. Hyperpersonalized campaigns, optimized funnels and smart media.
CRM & Salesforce. Audience segmentation, automated journeys and engagement.
