Digital Engineering is a transdisciplinary "Think & Do" approach that combines Data Science, Software Engineering and Operational Excellence. We put this expertise to work to improve organizational performance and deploy projects with high innovation potential.
Digital technology and data have created undeniable value in marketing and customer relations, but the areas that remain to be explored today are often in the financial and operational departments that we support, to help them better manage their performance, rationalize their investments, optimize their production processes, reduce their costs or manage their risks.
Just like the transformations that have taken place on the topline, creating digital value for financial and operational departments requires working on data that is both more transverse (to shed light on the relationships between operational decisions and financial results) and more granular (to quantify these relationships, model them and forecast them).
In order to accompany you in this process, we mobilize advanced quantitative analysis skills (to develop models) mixed with business skills (to guarantee the interpretation and relevance) necessary to develop your digital and data solutions:
Data projects often fail because of three pitfalls:
> The erroneous decoupling of data analysis and data engineering
> The over-amplification of the contribution of AI compared to less sexy but more robust approaches
> The over-estimation of the supposed quality of the data
We bring a concrete answer to these three points.
We support our clients throughout the entire chain of their data development, relying on two profiles of engineers that we know perfectly well how to make work together in the framework of your projects.
Our Data Analysts: although not the trendiest of data professions, we know from experience that the Data Analyst is in fact the real cement of an effective data approach thanks to his complete mastery of the value chain > Collection - Structuring - Analysis/Modeling - Exposure.
Our Data Strategists: we have a team dedicated to the operational implementation of data governance based on three pillars:
> Governance: definition of the key positions of a data strategy and support in taking up the position
> Uniformity: implementation of a unique semantic
> Quality - Accessibility: framing and management of the architectural deployment, quality monitoring, a data catalog, access rights processes, etc.
Transforming an organization requires ambitious strategic planning and pragmatic operational management of projects, based on agile standards and a constant quest for operational excellence.
Combining agile & Lean methods with our past experience and our sector and business expertise, we support business or transformation departments in diagnosing, framing & deploying their transformation plan with a view to optimizing performance or innovating and breaking new ground.
We have teams dedicated to operational excellence and project management, and we can activate all Quadratic divisions to provide cutting-edge expertise on data, digital, AI, Web 3 and Privacy Tech subjects.
Combining a pragmatic approach with scientific and technical know-how, we assist large companies and startups in the implementation of their digital projects, from the ideation and technical design phases to the industrialization and scaling up phases.
Three principles are at the heart of our DNA:
> A real ability to integrate and prioritize business issues quickly
> A perfect mastery of agile and X-Ops approaches
> A very strong technical and scientific expertise
We have teams of "Deep Tech" engineers highly specialized in the following fields
Digital technology and data have created undeniable value in marketing and customer relations, but the areas that remain to be explored today are often in the financial and operational departments that we support, to help them better manage their performance, rationalize their investments, optimize their production processes, reduce their costs or manage their risks.
Just like the transformations that have taken place on the topline, creating digital value for financial and operational departments requires working on data that is both more transverse (to shed light on the relationships between operational decisions and financial results) and more granular (to quantify these relationships, model them and forecast them).
In order to accompany you in this process, we mobilize advanced quantitative analysis skills (to develop models) mixed with business skills (to guarantee the interpretation and relevance) necessary to develop your digital and data solutions:
In a fast-moving ecosystem, where it is sometimes difficult to find one's way among the many initiatives and innovations, we help our clients to evaluate or develop their projects, by providing them with a synthetic and well-founded vision of this environment, an ability to evaluate and operate the technology, as well as a detailed knowledge of the new business models at stake.
We rely on a team with a strong expertise in engineering & economics of complex systems and decentralized protocols (L1 & L2, Defi, DAOs) and which benefits from a significant experience on the operational implementation of Blockchain projects, whether for large Corporates or in a decentralized environment.
We intervene in Design & Engineering of Web3 projects on the following axes:
Data projects often fail because of three pitfalls:
> The erroneous decoupling of data analysis and data engineering
> The over-amplification of the contribution of AI compared to less sexy but more robust approaches
> The over-estimation of the supposed quality of the data
We bring a concrete answer to these three points.
We support our clients throughout the entire chain of their data development, relying on two profiles of engineers that we know perfectly well how to make work together in the framework of your projects.
Our Data Analysts: although not the trendiest of data professions, we know from experience that the Data Analyst is in fact the real cement of an effective data approach thanks to his complete mastery of the value chain > Collection - Structuring - Analysis/Modeling - Exposure.
Our Data Strategists: we have a team dedicated to the operational implementation of data governance based on three pillars:
> Governance: definition of the key positions of a data strategy and support in taking up the position
> Uniformity: implementation of a unique semantic
> Quality - Accessibility: framing and management of the architectural deployment, quality monitoring, a data catalog, access rights processes, etc.
Combining a pragmatic approach with scientific and technical know-how, we assist large companies and startups in the implementation of their digital projects, from the ideation and technical design phases to the industrialization and scaling-up phases.
Three principles are at the heart of our DNA:
> A real ability to integrate and prioritize business issues quickly.
> A perfect mastery of agile and X-Ops approaches.
> A very strong technical and scientific expertise.
We have teams of "Deep Tech" engineers who are highly specialized in the following fields
Through spin-offs or the creation of subsidiaries, we invest in innovative projects or projects with high technological potential of our employees.
We share the economic value generated with our teams via a Venture Decentralized Autonomous Organization (Venture DAO).
