Digital is increasingly establishing itself as a performance and competitiveness lever for companies (new business models, new sales channels, better engagement and better customer loyalty, automation, dematerialization).
Pagamon supports you to ensure the success of your digital transformation.
Companies operate in an environment that always requires more adaptation (to customer expectations, to technology). Technological innovation contributing to the dynamism of this environment is at the same time a source of opportunities for companies. It is an important lever towards new business models, new sales channels, better engagement and better customer loyalty. Digital technologies also allow companies to improve their operational performance, particularly through automation and dematerialization.
Taking these challenges into account, many companies from all sectors have already embarked on a digital transformation.
We are convinced that the key to a successful digital transformation is the capability to integrate technologies in the service of business performance, or even in the service of new activities as well as the capability to get these technologies adopted. To do this, there are 3 major axes to address:
- Digital tools and technologies: Which technology for which use case?
- Processes and organization: What organizational model for an effective transformation? How to modify business processes to optimize the contribution of digital?
- Employees and digital culture: How to involve employees in the transformation?
For each of these axes, it is necessary to support the digital transformation on 4 themes
- Operational efficiency
- Importance of data
- Empowerment of employees
- Business / IT interaction
The human and listening skills of Pagamon consultants make them very good partners in supporting the digital transformation of a field as complex as the automotive industry. Well-versed in business issues, they adapt quickly and know how to question some of our usual practices. I salute the ability to summarize and the quality of the deliverables of the consultants for their entire service.
- VISION, CIBLE ET ENJEUX DU DIGITAL
- PLAN DE TRANSFORMATION DIGITALE
- OBJECTIFS ET PERFORMANCE DIGITALE
- VISION, TARGET AND CHALLENGES OF DATA
- GOVERNANCE AND MANAGEMENT
- “BIG DATA” AND ANALYSIS
- DIGITAL TRANSFORMATION PROGRAMS
- MANAGEMENT OF DIGITAL PORTFOLIOS
- MUTUALIZATION AND INDUSTRIALIZATION OF INITIATIVES
Points of View
The ambition of 4.0 is to make the plant efficient thanks to digital and data processing without forgetting to adapt to societal trends.
Digital Transformation of Manufacturing and Supply Chain
The client deploys a digital transformation program for its factories around the world. The project consists of supporting the client in defining and monitoring their digital strategy, managing their portfolio of digital projects and accelerating innovation.
Digital Transformation of an engineering department
In a context of product and business model transformation, the client is launching a major digitalization program aimed at capturing new business, improving its performance and reducing its costs. In this context, the engineering department is developing its own digital transformation plan.
Definition of R&D Data Governance
The client wishes to implement data governance to optimize transversal exchanges relating to “product” data. For this, he wants to define and implement a method adapted to the needs of the different departments of the R&D function.
Assessment and roadmap of a Big Data initiative in R&D
This division of a leader in the food industry has initiated a Big Data approach aimed at making available to R&D experts: high added value data and analysis tools. The project consists of evaluating the profitability of the initiative, identifying the benefits / costs and defining a roadmap.
Methodological support for the development of a Business Model
The Biometrics department of the “Dairy” division has initiated a smart data approach and wishes to offer its services to all Research & Innovation (R&I) departments. To do this, the manager asked Pagamon to provide him with methodological support for the development of a Business Model for these services.
Support of a commercial organization transformation plan
Following the transition from a monopoly to a competitive environment, the client leads a transformation of its commercial organization. In this context, he wishes to carry out a benchmark of the models of BtoB commercial organizations
Creation of a fully digital Private Lease offer in Europe
The client wishes to develop a 100% digital offer for its Private Lease service in Europe. Pagamon has contributed to the coordination and facilitation of cross-functional workshops involving key corporate and country leaders in order to design the offer.
Support to the development of a shared Data Science Vision
The Biometrics and Data Science department has initiated a smart Data approach. The head of the service wants to convince the R&I departments of the benefits of a common strategy linked to the use of Data Science. Pagamon provided them with methodological support for the development of a Data Science R&D vision.
Structure the single repository of products data
The clientwants to build a single repository of its product data in order to consolidate the list of its active substances and the attributes to be associated with them. This repository will facilitate internal communication, to respond optimally to the health authorities and to secure the information transmitted to public databases.
Agile development of a digital training project
Standards exist for the training of operators at their workstation. The client wants to replace this training with digital and autonomous training, still respecting the standards in order to save investment, time and quality of training
Product Information diagnosis
Product Information (PI) covers all information regarding resorts, tours and cruises; to be delivered to the customer to support the sale. Pagamon established a diagnosis of IP activities and proposed and then supported several recommendations around the management of product information data.