Our expertise
We cover every stage of the data value chain, from structuring your data to advanced analytics, bringing in the skills and technologies that fit your business environment.
Organizations facing higher expectations
Productivity, resilience to disruptions, the ability to anticipate: expectations of the Supply Chain have never been higher. In this context, making the most of data has become a key challenge: it comes from multiple systems and teams, and technologies are evolving fast.
Artificial intelligence opens up new possibilities here: the tools are now widely available, and the question today is where and how to use them to create tangible value.
This is where Octa comes in: connecting data, technology and AI to the business realities of your Supply Chain.
Data Architecture
Designing the foundations and technology choices behind your Data projects.
A data architecture is about more than organizing data and data flows. It also relies on structuring choices: technologies, platforms, cloud solutions and architecture principles. These decisions determine how well you can integrate data, expand use cases and support the needs of the business.
Octa helps you define and develop your data architecture, from assessing the current setup to designing the target architecture. We study the technology options, assess how well they fit your environment and objectives, then define an approach that is consistent with your technical, operational and financial constraints.
Whether you are designing a data platform, upgrading an existing architecture or laying the foundations of a new Data or AI project, we make sure the choices made meet the expected use cases while leaving room for your environment to grow.
Objective
Build a consistent, scalable architecture suited to your challenges, with well-informed technology choices aligned with your business needs.
Target architecture
Foundations designed around your use cases and constraints.
Technology choices
Solution assessment and guidance toward the most relevant platforms.
Implementation path
A realistic roadmap aligned with your objectives.
Data Quality & Governance
Making your data reliable and organizing its governance for the long term.
Incomplete, inconsistent or poorly referenced data undermines Supply Chain decisions and processes. Data reliability depends on shared rules, clearly defined responsibilities and controls monitored over time.
We assess the quality of your key data (products, suppliers, sites, customers…), identify where anomalies come from and put in place the control rules and indicators needed to keep them in check.
We also help you structure data governance, covering roles and responsibilities, master data management and documentation, so that data quality is owned day to day by business teams.
Objective
Have reliable, well-managed and shared data that teams can trust to plan and make decisions.
Quality assessment
Measuring data quality and tracing anomalies to their source.
Rules and indicators
Controls and KPIs to monitor and improve quality.
Governance
Clear, shared roles, responsibilities and processes.
Data Engineering & Integration
Connecting your systems and getting data where it is needed.
Supply Chain data is spread across many systems: ERP, WMS, TMS, planning tools, partners… Without reliable integration, it remains hard to reconcile and put to use.
Our experts design and build the data flows and pipelines that collect, transform and consolidate your data, using technologies suited to your environment and your data volumes.
We make these flows production-ready — automation, monitoring, performance and maintainability — so that data is available at the right time and manual processing is reduced.
Objective
Provide up-to-date, consolidated and reliable data that can be used directly in your operational processes.
System integration
Connecting your applications and your partners.
Data pipelines
Automated collection, transformation and consolidation.
Monitoring
Data flows that are tracked, efficient and easy to maintain.
Data & AI for Supply Chain
Using data and AI to anticipate better and decide better.
Data opens up many ways to understand performance, analyze operations and inform decisions. It can be put to use through management KPIs, in-depth analyses, predictive models or optimization solutions.
Octa develops solutions tailored to your business challenges: Data Analytics & Business Intelligence, Data Science, optimization and artificial intelligence. Depending on your needs, we use predictive, generative or agentic approaches, taking into account your data, your constraints and your objectives.
We help you move from analysis to action: designing solutions, integrating them into your tools and processes, validating them with your teams and tracking results.
Objective
Turn your data into drivers of decisions and action to improve performance management, anticipate change and strengthen your Supply Chain performance.
Data Analytics & BI
Indicators and analyses to understand and manage performance.
Data Science & optimization
Models and methods to anticipate, simulate and optimize decisions.
Artificial intelligence
Predictive, generative and agentic solutions suited to operational use.
Talk to an expert
Looking for Data & AI expertise for your Supply Chain? Get in touch to explore the options and find the right engagement for your project.
Let’s talk about your project →