Work package: Data asset management
Description: Data Asset Management activities should be performed following a specific activity framework as displayed below (document source : Airbus). We can provide full support on each of the different groups.
Activities: Animate & complete involvement into an operating framework that includes effective change management practices, to ensure a sustainable & innovative project & maintain a strong governance strategy.
—Assert the quality of the industrial data product
—Develop & apply a standard process to ensure a data quality expectation
—Structure Data Architecture through System Modelling & bring context to the Data through
Engineering of Requirements
—Deliver qualitative solutions based on Data Architecture, IT Standards & System Engineering
environment
—Provide Methods & solutions to enable the extraction of the Data Governance evidences applying data engineering concept
—Ensure traceability & useability from business data requirements down to data in data sources
—Promote data mesh in order to make data an AIRBUS asset & Deliver Data-Driven Value at Scale
—Provide means to easily operate the context defined during data modelling
—Share the data context knowledge across Airbus functions & provide services to data stakeholders.
Criteria: —Volume of UFP will be detailed on the Mission Card
—1 UFP 1.4 covers a period of 3 months activity.
—All 26 deliverables listed are to be performed either globally or individually. On demand deliverables can be performed based on the workload repartition
Deliverables: Data Platform explorer
—Data Package including data model
—Data Classification
—Data Flows & Business Data Needs
—Analysis and implementation of different uses cases
—Data quality check-up based on findings tracking
—Continuous integration and deployment
Methods & Toolset:
—Data catalog using defined data taxonomy
—Engineering of requirements
—Tools prototyping
—Industrialization of Innovative & reusable Methods and Solutions