Data & AI
The complexity and diversity of data and AI topics require a transformation plan that combines organizational structure, agility, data management, and technology.
We leverage all available data and AI tools to accelerate your transformations and deliver tangible value to your organization.
Data & Artificial Intelligence Consulting Firm
Turn data and artificial intelligence into drivers of performance, decision-making, and transformation for the company.
Data and AI have become key drivers of business transformation. But their value does not rest solely on technology; it depends on the ability to access reliable data, identify the right use cases, adapt processes and organizational structures, and support employees as they adopt these new practices.
As a data and AI consulting firm, iQo supports companies throughout this transformation, from defining their data and AI strategy to implementing concrete use cases and scaling them up.
Our approach combines business expertise, strategy, data management, technology, artificial intelligence, and organizational transformation to turn data and AI into drivers of value creation.
Our Expertise in Data
, and AI
Data & AI strategy
We help companies define a coherent vision for their data and AI transformation and translate it into an operational roadmap.
- Data Strategy and AI Strategy
- Data & AI Maturity Assessment
- AI Readiness and AI Flash Diagnosis
- Identifying and Prioritizing Use Cases
- Data & AI Roadmap
- Support for Chief Data Officers
- Target Operating Model Data
- Defining Business Requirements
- Business Cases and Value Measurement
DESIGN AND MARKETING OF NEW PRODUCTS AND SERVICES
Actionable data is, first and foremost, data that is known, reliable, accessible, and properly managed.
We specialize in the following areas:
- Establishment of Governance for Data and Usage
- Designing the appropriate technological foundation for specific use cases (data platform, pipelines, etc.)
- Organization of Data Offices
- Data Ownership and Responsibilities
- Mapping and Promotion of Heritage Data
- Data Quality and Reliability
- Remediation Plans
- Data Management
- Standards and Reference Data
- Compliance and Data Protection
- GDPR and Regulatory Requirements
DATA, ANALYTICS & BUSINESS INTELLIGENCE
We help companies maximize the value of their data, from collection through to its use by business units.
- Data Architecture and Foundations
- Data platforms
- Data Integration and Pipelines
- Data Products
- Business Intelligence
- Self-Service BI
- Data visualization
- Analytics and Predictive Analytics
- Segmentation, Scoring, and Recommendations
- Process Intelligence
- Use of Internal and External Data
CUSTOMIZED, RESULTS-DRIVEN AI CONSULTING
We provide concrete solutions to business questions and challenges by leveraging modeling, internal and external data, and artificial intelligence.
AI must address specific business challenges and be capable of being integrated into business processes.
We support organizations in:
- Defining the Strategy
- AI Maturity Audit (AI Readiness and Flah AI Diagnostic)
- Identifying AI Use Cases by Business Line (AI Cognitive Factory)
- Development of a Target Operating Model
- Defining a Change Strategy to Facilitate AI Adoption
- Change Management and AI Acculturation
- Establishment of AI Adoption Governance (Ambassadors, Liaisons, etc.)
- Support for the scaling up
DATA & AI CONSULTING FOR FRANCHISE NETWORKS
Concrete solutions to business questions and challenges facing franchise networks, achieved by leveraging modeling, internal and external data, and artificial intelligence (from data processing to data analysis).
- Lay the groundwork for a customized data and AI strategy for the network
- Structure data at the source and ensure its reliability over time
- Leveraging Network Data to Manage and Anticipate
- Moving from concept to on-the-ground action for a controlled rollout across the franchise network
Our Consulting Approach
Companies that use data and AI efficiently will be the big winners! There is indeed a major opportunity linked to the Data assets of organizations, but which often still exploit this collected data little or poorly.
The proliferation of data, AI solutions, and experiments does not guarantee that they will contribute to the company's performance.
Our belief: A successful data and AI transformation must be driven by business challenges and incorporate three complementary dimensions:
- the value being sought,
- the necessary foundations
- the organization's ability to adopt new practices
Recent developments are forcing organizations to undertake a far-reaching data and AI transformation. The success of these initiatives means that data strategy, governance, technology, use cases, process transformation, and skills development are inextricably linked.
43%
Operations managers surveyed by IBM cite data quality as their top data priority.
6 out of 10
According to Cedefop, some of the tasks performed by European workers could be transformed by AI.
30%
In a European Commission survey, workers in the European Union reported using AI tools at work.
62%
Consumers are open to companies using AI to improve their experience.
The Power of Data and AI for Franchise Networks
Learn how we develop concrete, tailored solutions to address the business challenges faced by franchise networks.
We leverage modeling, internal and external data, and artificial intelligence (from data processing to data analysis).
We have developed a dynamic benchmarking tool that allows you to compare franchisees' performance in real time, based on relevant and customized criteria, and to use these insights to make better decisions.
Success stories
Check out our case studies on recent
consulting projects carried out by our Data & AI consulting teams.
Improve knowledge and management of sales outlets and warehouses
Point-of-sale information is essential to improve the information available to customers (services, opening hours) or to the supply chain (loading dock, capacity, etc.).
Better monitoring of sales outlets enables us to better manage and evaluate profitability and the links between each sales outlet or warehouse.
Putting this data under control has enabled us to support the introduction of digital applications and the development of new supply chain applications.
Ensuring the quality of data and products
Rapid exchanges require perfect control of product data, product versions and the entire transport chain. Customers are imposing more and more constraints, including financial constraints, in the event of incorrect information being communicated.
Improving quality means controlling the production process and modifying data to make it available more quickly and reduce costs in many processes.
Securing Supply Chains and Preventing Risks for a Franchise Network
- Automated tracking of fees and admission charges with alerts.
- Analysis of indicators of franchisees’ economic vulnerability (decline inProcurement, late payments, etc.).
- Preparation of investor reports or audits, and a control plan for audited data.
Supporting and Refining Franchisee Performance
- Deployment of customized dashboards by retail location (revenue, margins, customer satisfaction, conversion rates, etc.).
- Conducting benchmarking exercises among franchisees to identify best practices and consolidate key success factors.
- Assessment of performance and opportunities for improvement, and development of a targeted action plan.
Strategic Management & Overall Performance of a Franchise Network
- Implementation of real-time monitoring of key network performance indicators (KPIs): revenue per store, profitability, market share, average basket size, and geographic distribution.
- Identification of the keys to success and areas for improvement by region, concept, or length of service.
- Support for data-driven investment and strategic adjustment decisions.
Our recent publications
How can iQo support you?
iQo is a strategy and transformation consulting firm whose mission is to “unleash collective genius to co-create desirable futures.”
- Our firm offers a unique approach to co-construction with our customers.
- We advocate for the integration of skills and expertise, with a particular focus on AI and Impact at the heart of our approach.
- We offer small, agile teams that are genuinely committed to working alongside you, acting as an extension of your own teams.
- We are "makers" and offer practical, results-oriented solutions tailored to your specific
needs. - We are committed: iQo is a mission-driven company, recognized with Ecovadis Silver and Engagé RSE certifications, and certified to ISO 9001 and 14001 standards.
FAQ - Data & AI Consulting Firm
What is a data and AI consulting firm?
A data and AI consulting firm helps companies define and implement their strategies for data and artificial intelligence. Its services may include data strategy, governance, data quality, technological infrastructure, identifying AI use cases, scaling them up, and supporting business units.
Why Choose iQo as Your Data & AI Consulting Firm?
Data consulting helps structure a company’s data assets, improve their quality and governance, and identify ways to create value. A consulting firm can also assist in defining the operational model and transforming data organizations.
An artificial intelligence consulting firm helps companies identify relevant use cases, assess their feasibility and value, and then integrate them into the organization’s processes. It can also provide guidance on governance, risk management, adoption, and scaling of AI projects.
iQo supports companies as they work to define a data or AI strategy, improve data governance and quality, identify and prioritize use cases, scale AI solutions, or evolve their organization and skill sets. Our approach combines data and AI expertise, business domain knowledge, and transformation support.
How do you develop a data and AI strategy?
A Data & AI strategy begins with an analysis of business challenges and the company’s level of maturity. It then enables the definition of priorities, use cases, the necessary foundations, the governance model, the required skills, and a roadmap for gradually scaling up.
A maturity assessment typically analyzes several dimensions: strategy, governance, data quality, architecture, tools, organization, skills, use cases, and adoption capacity. For AI, AI Readiness specifically assesses a company’s ability to deploy and scale artificial intelligence applications.
How Can We Identify the Right AI Use Cases and Successfully Scale Them Up?
Use cases should be selected based on their business value, technical and data feasibility, level of risk, and the organization’s ability to adopt them. The goal is to focus investments on use cases likely to generate measurable value.
Scaling up requires addressing several factors beyond the AI model itself: data quality and availability, architecture, security, governance, process integration, user experience, costs, and change management. An industrialization roadmap helps ensure a smooth transition.
Why is data governance important?
Data data governance defines the responsibilities, rules, and processes necessary to ensure that data is reliable, accessible, secure, and used appropriately. It serves as an essential foundation for both analytics and AI projects.
Improving data quality requires identifying the sources of errors and understanding the processes that generate, transform, and use data. Actions may focus on data repositories, processes, responsibilities, controls, tools, and the remediation of existing data.
What is the difference between a data strategy, data management, and an AI strategy?
The Data Strategy defines how the company intends to leverage its data assets. Data Management encompasses the practices used to manage these assets—quality, governance, architecture, repositories, and lifecycle. The AI strategy , on the other hand, defines the goals, priorities, and conditions for deploying artificial intelligence. These three dimensions are complementary.
