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Case Study
Successful evolutions with a deep process analysis
×
Digital Maturity Assessment as first step of a solid digital transformation path.
Where: Italy
Where: Italy
Challenge
For one of the main Italian companies in the production of valves and mechanisms for oil dynamics, we designed a Maturity Model path for an overall assessment of all company processes.
The Maturity Model path had the objective of producing the main KPIs related to company's complexity and maturity and of identifying the main critical points on which the global assessment would be based.
Approach
All this was done within a digital transformation journey that included the replacement of the company's ERP system at group level.
Digital Ecosystem
Solution
Digital Ecosystem
The process consisted of two different steps:
- definition of the Business Model Canvas and of the relationship matrix, on which the Maturity Model surveys were created;
- delivery of the surveys with our consultants and the creation of KPIs on critical business areas.
The work carried out has highlighted a high level of rigidity in the processes, which are too structured, and a poor integration of the group companies acquired over time. In addition, we found a diversified technological context that does not favour the homogeneity of data flows and the correct support of business processes.
Results
35 criticalities identified
+80% of the areas involved.
Impacts
Technologies
AI & Data
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From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
-
Use Case
Complaint management powered by Agentforce
The AI Service Agent reads and classifies customer complaints, identifies sentiment and context, and generates a personalized response.
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