Data strategy execution

Our experts help you organise and run internal events such as Data seminars or "Data days", user-friendly events such as "Data Cafés" to promote alignment, exchange and collaboration between teams. Our objective: help you instill a Data culture in your teams.

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Data trainings

Training for Executives : The essential of Data and AI Governance

This half-day training provides executives with the understanding of data and AI governance essentials. Focus areas include challenges, data culture, capabilities and enablers, key indicators and change management.

Training for business stakeholders : Data & AI Governance for business

This one-day training course is designed for professions that are data consumers and/or producers. Through concrete examples and workshop sessions, participants (Data Owners, Data Stewards,...) are made aware of the issues and practices of data and AI governance. The approach is intended to be pragmatic and focused on the company's strategic objectives.

Training for data professionals with a role in the Data value chain : Data and AI Governance in practice

This training is designed for operational stakeholders involved in the Data value chain : Data Engineers, Data Scientists, Data Analysts, Data Miners and Data Architects. The participants will be able to acquire or consolidate a know-how of data and AI governance fundamentals. The focus on technologies and methodological frameworks will provide participants with the keys to apply the learning in the context of the enterprise.

CDO and Data Managers training : Advanced Data & AI Governance

This training, designed for Data leaders such as Chief Data Officers and other experienced Data Management professionals, helps participants to deepen their knowledge on the different facets of data and AI governance.

Training to prepare for certification : Data Management certification

This training is designed for participants who seek to get Data Management and/or Data Governance certifications. Through courses and mock-up questionnaires, the training helps participants consolidate their existing knowledge. A special attention is brought to Data Management topics contained in the chosen syllabus.

Coaching and Mentoring

It is sometimes useful to provide individualized and intensive support to teams to facilitate the Data Management learning curve. Our experts offer individual, group and remote support to our customers on a range of identified data management areas. Progress is regularly monitored and adjustments are made when necessary.

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Maturity assessment

Our team helps our customers measure the maturity level of the company's data management capabilities. The helth and effectiveness of existing practices are characterized using standardized maturity levels ranging from "0-Absence of Capacity" or "1-Ad Hoc" to "5-Optimized". Based on these results and in alignment with the company's Data strategy, our team of experts helps you identify a target, define a roadmap and launch the implementation of the missing capabilities.

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Value assessment and prioritisation

Our team supports our customers in the implementation of improvements to existing Data Management capabilities with an approach that is aligned with the company's strategy. Through a series of workshops and interviews, our experts perform a value analysis based on a set of dimensions including: financial impact (market share, risks), customer impact (customer relationship), internal impact (efficiency, satisfaction) and transformation impact (knowledge, innovation). As a result, quick wins and value areas are identified and can be treated as a priority.

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Governance operating model and implementation

Through targeted workshops and based on recongized frameworks, our experts help customers design and implement data and AI governance capabilities and enablers. Areas of focus include people (accountabilities, organizational change, skilss and culture), policies, processes and technology. In addition, key indicators that help assess the current state of the organization and track progress at a regular pace are defined and implemented as part of the operating model.

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