Challenges
In industry, a good understanding and use of data are powerful levers for performance and innovation. Faced with growing volumes of highly heterogeneous data, manufacturers can rely on digital engineering and industrial data science solutions to manage complexity and improve performance.
Digitalisation makes it possible to decompartmentalise organisational data and link it to processes that have been modelled and optimised,improve data governance and promote collaboration between project stakeholders.
ACQUIRE AND MASTER
- Facilitate access to information through consistent and structured data.
- Ensure data traceability throughout the project lifecycle.
- Ensure data sustainability with data-centric models.
- Facilitate decision-making based on controlled data.
GAIN IN QUALITY
- Gain quality by automating the processing of large volumes ofinformation or repetitive tasks.
- Improve delivery quality.
- Diagnose, monitor and optimise industrial performance.
- Maintain data in operational condition to guarantee its quality and prevent it from becoming unusable, orphaned or inaccessible.
DECOMPARTMENTALISE DATA
- Ensure data is understandable and readable by providing a comprehensive overview of a project's data.
- Improve overall collaboration between the various stakeholders.
- Address the challenges of leveraging industrial data assets.
- Enable data communication by linking databases together through datamodels.
DATA Management
DATA Management
Assystem's approach involves shiftingfrom a document-centric approach toa data-centric approach.
Data management is therefore not just a technical issue, but above all abusiness issue.
Assystem supports its clients in one or all of the areas of industrial data management and exploitation:
Our key strengh: Business domain expertise
- Throughout all stages of the data life cycle: Identification of critical data, acquisition, quality enhancement, contextualisation, and categorisation.
- Onboarding business teams: Defining tailored data governance, business engagement, and a 'data citizen' approach.
BI - BUSINESS INTELLIGENCE and Analytics
We support our customers in the use and implementation of Business Intelligence tools to manage information in real time, whether for project management, resource monitoring or the progress of technical issues: performance indicators (KPIs), dashboards or project reviews.
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Data analysis
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Specification of business KPIs
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Dynamic reports and dashboards
(UX/UI design) -
Connecting and sharing databases