Processia’s proprietary data model and data analysis toolset enable to rapidly identify critical source data issues such as duplicated and corrupted schema and objects. Comprehensive reports identify detailed requirements for data cleansing and post-processing activities.
With its proprietary data migration toolset, Processia provides turnkey data migration approach to 3DEXPERIENCE. Workpackages approach based, the work breakdown and responsibilities are accurately planned and owned across the stakeholders. The iterative data migration approach accounts for best-practices roll-out and data validation plan.
Best-in-Class migration tools
Processia’s proprietary 3DEXPERIENCE data migration toolset is based on an Extract Transform Load (ETL) approach with a configurable transformation layer supporting complex rules. Our efficient loading mechanism supports the broad range of objects and complex schema such as multi-cad data migration and multi-relationship BOM structures.
Processia provides proprietary extracting adaptors for a wide range of source systems further accelerating the project and reducing risks while increasing quality.
Processia has developed proprietary bi-directional data bridge across systems allowing to automate data exchange through various configurable triggers. We delivered multiple proven success cases on complex environments. We offer turnkey utilization documents and training to empower organizations.
Data Migration Assessment phase
Processia’s data migration offering usually starts with a carefully planned Data Migration assessment phase. Processia believes initial identification of issues and complexity is key for a successfully and proactively planned data migration project with appropriate alignment and commitment of project stakeholders.
One of the first activity for Processia is to run its smart data analyzer on the various source data and systems. This enables a comprehensive source schema assessment supporting the scoping and mapping exercise as well as identifying source data issues which results into required data cleansing activities.
To proactively identify additional challenges, Processia rapidly installs and runs its proprietary toolset on source and target system to run a first Proof of Concept data migration run. Cleansing, transformation and post-processing needs are refined as a result for an even better planned 3DEXPERIENCE data migration project.
Infrastructure Sizing is key for data migration project in order to support minimal downtime with optimal ROI solution. Processia data migration and infrastructure experts provide detailed recommendations on infrastructure sizing and pre-requisites for a smooth data migration project experience.
Preliminary scoping, data analysis, schema analysis, cleansing requirements, post-processing needs are all accounted and aligned with business needs in order to provide a successful data migration project strategy and plan. Various scenarios are supported such as “big-bang”, phased/Delta and co-existence migration approach. Data migration architect provides detailed recommendations based on organization needs.
Thanks to its proprietary data migration assets, the development phase is usually limited to the configuration of its tools, the transformation rules and post-processing activities for more complex data migration.
Data cleansing activities are parallelized while configuration of toolsets are on-going
In some specific cases, additional source data extractors require development in order to feed data to Processia data migration core ETL engine.
Processia provides detailed documentation and on-demand training and coaching for client empowerment.
Careful planning is key for success. Processia provides risk averse roll-out and roll-back plans with associated acceptance criteria and validation steps
Iterative deployments supporting proactive adjustments from Proof of Concept to integration, test and Prod following multi dry-run approach.
Deployment strategies include Big bang, phased (delta) and coexistence data migration support.
The project manager ensures the successful planning and the flawless execution to deliver on time and within budget.
The solution architect is responsible for analyzing and translating business information and technical requirements into the architecture and design of the solution.
The functional consultant documents the use cases, functional specifications, test plans and scenarios, and supports the customer’s end-users throughout the project implementation and deployment.
The software developer is involved in the definition, design, implementation, documentation, integration, testing, and support of reliable and reusable software solutions, addressing functional and business requirements alike.
The infrastructure architect investigates and analyzes the feasibility of the system requirements, develops the targeted system specifications and is responsible for defining the right infrastructure to secure the deployment of the business solution implementation.