What you will achieve with this program
Define the operating and governance models required to scale AI effectively and responsibly in your organization
Decide what services should be provided by AI departments and who delivers AI use cases in the organization


Determine which roles and teams should be in place
Devise and maintain a sustainable data strategy
AI Governance
Centralized AI
Central department serving the group
Federal structure
Center of Excellence as AI hub
Decentralized AI
Business Units operating separately
Advantages
Centralization of standards, practices and key functions (e.g., data governance)
Efficiency and economies of scale
Centralization of standards, practices and key functions (e.g., data governance) while maintaining ownership of transformation in the BUs
Greater focus on creating an internal and external innovation and analytics ecosystem
Autonomy and ownership of BUs
Speed in the transformation and implementation of solutions
Specialization and customized capabilities according to the context of the BUs
Disadvantages
Lack of agility and flexibility of BUs to pursue their analytics agenda and perform their analyses
Challenges to capture business specificities and customized capabilities
Lack of ownership by the BUs
Difficulties in defining and operationalizing the split of responsibilities between CoE and BUs
Different models may arise depending on each BU's capabilities
Disparity of practices and standards between BUs
Difficulty in capitalizing on synergies between BUs
Decentralizing data governance tends to be a complex challenge
Data Governance
Master Data Management
Provide a single, consistent and compliant view of business data
Data Catalog
Organize data products and respective metadata
Tech
Consulted for technology advisory
How?
Data Architecture
Design structure and organization of data within organization
How?
Help materialize data models and advise on technology for different storage approaches
Data Security
Protect data from unauthorized access and ensuring compliance
How?
Jointly manage data access and the creation of sensitive data encryption
Data Policy
Sustain policies and standards for a continuous data management process
Analytics
Contributes to data traceability at the source transformation and usage
How?
Data Lineage
Trace data flows from origin through transformation and usage
How?
Development templates declare input tables, process transformations and output tables
Data Quality
Ensure data is accurate, complete, consistent, and reliable
How?
Each process that creates data is subject to data quality assessment procedures
Analytics
Contributes to data traceability at the source transformation and usage
How?
Data Lineage
Trace data flows from origin through transformation and usage
How?
Development templates declare input tables, process transformations and output tables
Data Quality
Ensure data is accurate, complete, consistent, and reliable
How?
Each process that creates data is subject to data quality assessment procedures
Data Catalog
Organize data products and respective metadata
Master Data Management
Provide a single, consistent and compliant view of business data
Data Policy
Sustain policies and standards for a continuous data management process
Tech
Consulted for technology advisory
How?
Data Architecture
Design structure and organization of data within organization
How?
Help materialize data models and advise on technology for different storage approaches
Data Security
Protect data from unauthorized access and ensuring compliance
How?
Jointly manage data access and the creation of sensitive data encryption
3 pillars for the AI-Ready Enterprise
80% of AI projects fail.
Build the foundations that will allow you to beat the odds.
Devise your Al roadmap and decide your next Al investment with confidence


Empower your teams with Al literacy to adopt, lead, and scale Al with confidence
Build a robust data backbone that enables scalable, secure, and impactful Al solutions

Discover some of our Customer Stories




Join 180.00+ managers and companies
What LTPlabs can actually help us is connect us across projects and make sure that we can actually cross-pollinate on the different areas that we're working on.
Frederic EstripeauGlobal Portfolio Strategy Director at JTI - Japan Tobacco International
We've been working with LTP for many years, and therefore, LTP has been following this journey, challenged us and added immense value in the use cases that we've developed.
Filipa Santos CarvalhoNOS Executive Administor
It has been a very strong partnership. It has been spread across several companies of Sonae, through several areas of Sonae, always exploring opportunities to use the information that we have available, activating it in order to help us making decisions.
João Gunther AmaralExecutive Board Member - SONAE
They are indispensable companions. Our planning system is based on their methodologies.
Mário Pais de SousaCEO and Chairman - CABELTE
LTP has done a very important job of helping us translate the needs of the business, the real issues, and problems that the business has to solve.
Paulo SimõesCFO Worten
What LTPlabs can actually help us is connect us across projects and make sure that we can actually cross-pollinate on the different areas that we're working on.
Frederic EstripeauGlobal Portfolio Strategy Director at JTI - Japan Tobacco International
It has been a very strong partnership. It has been spread across several companies of Sonae, through several areas of Sonae, always exploring opportunities to use the information that we have available, activating it in order to help us making decisions.
João Gunther AmaralExecutive Board Member - SONAE
LTP has done a very important job of helping us translate the needs of the business, the real issues, and problems that the business has to solve.
Paulo SimõesCFO Worten
We've been working with LTP for many years, and therefore, LTP has been following this journey, challenged us and added immense value in the use cases that we've developed.
Filipa Santos CarvalhoNOS Executive Administor
They are indispensable companions. Our planning system is based on their methodologies.
Mário Pais de SousaCEO and Chairman - CABELTE






