Data

This Wiki page summarizes all of the standards from Star Factory relating to Data. 

1. Export Compliance Policy

Any breach of Export Compliance Laws and Regulations, may have serious consequences for the Group (fines in the millions of euros/dollars). This Policy applies to all Employees, officers and directors of the Solvay Group, including all Affiliates; it also applies to agents and representatives who act on behalf of Solvay (third-party distributors, consultants, etc.). Awareness training scores have to be followed. 

For practical implementation, this Policy is supplemented by a more detailed set of procedures and templates ( Group Export Compliance Program wiki), which will serve as Guidelines for the GBUs and functions.

A specific awareness training has been set up for GBUs / Industrial / R&I audience. This page contains all of the useful links on the topic, including:

• Group Policy details
• Applicable Regulations per region, 
• Third party risk management, 
• Industrial and R&I practical tools
• Awareness and communications support
• Trade Compliance resources

In order to support GBUs, a List of Industrial Sites concerned by Export Control Regulations has been compiled and is regularly updated. The following GBUs are included:

• Composite Materials
• Specialty Polymers
• Novecare
• Special Chem
• Technology Solutions
• Oil & Gas
• Coatis

2. Real time process data access

Real time process data access allows to process data through Web interfaces while providing the right information to the right individual at the right time. For instance, this allows us to build real-time dashboards (e.g., when installed on planning tools such as AspenTek or Osisoft) on multiple types of device ultimately improving ways of working (concrete use cases on AspenTech or Osisoft ) i.e.,: 

• Increasing reliability and productivity
• Improving efficiency
• Reducing downtime and potential losses

Some requirements are needed to install a real time process data access on a MES (Manufacturing execution system):

• Data and Software:
• High digital readiness recommended, Medium digital readiness level required
• MES system in place with recent version (OSIsoft/AspenTech) 
• Data model for data historian
• Batch phases captured in MES
• Organization:
• Local project manager with sufficient availability during project
• Local technical referent on MES for maintenance and engineer for extension
• Data compliance requirements identified (EAR/ITAR)
• Hardware i.e., mobile devices / Screens (SmartPhones, Tablets, SmartWatch,...)
• Connectivity i.e., Wireless connectivity * on the shopfloor with access to Solvay network

3. Data governance program

The Star Factory Data Governance Program will implement the Solvay endorsed Enterprise Data Governance approach which consists of assigning accountability to individuals to drive appropriate behaviours in the valuation, creation, consumption, and control of data and its quality, thus ensuring successful outcomes in analytics and other digital solutions. This allows improvements to the data required i.e., :

• Streamlined decision-making with distinct roles and cadence to resolve data discrepancies
• Improved data security and regulatory compliance
• Sharing data in a timely and accurate manner

To put data governance in place, a few elements are required:

• Understand use cases, identify master data required/problems to be solved 
• Validate scope and agree on critical master data objects required 
• Identify Data Owner / Data Steward (in & outside the data scope) and required business resources

Governance

The data governance is based on a federated structure composed of individual Business Units or systems controlling and managing their data coordinated by a centralised Data Governance Hub. Businesses operate as the spokes to the Hub and collaborate within an Enterprise Data Governance organisation to maintain global standards to meet specific requirements. The governance structure can be approach looking to Roles and Responsibilities, the to-be organisation and key processes (see below)

Roles and responsibilities

There are 9 main roles identified involved being in the data governance (non-exhaustive):

Data steward: Responsible for implementing policies, monitoring information assets and people against those policies.

Data owner: Responsible for governing the proper management & protection of data assets during the whole datalifecycle.

Data Governance Lead: Responsible for effective (data) governance across the organisation and engaging with senior management to continuously promote the topics and its value added.

Enterprise Information Architect: Strengthen business transformation impact to be available and shared consistently across the organisation.

Information / data architect: Responsible for collecting data  / Analytics requirements and to define the information assets as well as sources, structure…

Data Custodian: Responsible for managing the metadata about the information assets of the organisation.

Data engineer: Develops data pipelines and data-driven systems with a product mindset approach

Data operator: Apply data entry requirements by following clear standards and perform data consistency checks based on data stewards guidelines

Data Protection Officer: Ensures organisational compliance requirements by overseeing data protections practices and other regulations.

> more details on roles here

Organisation

> More details on governance model here

> More details on committees here

> More details on organization here

Data Governance Methodology

The approach to implementation of Data Governance on Star Factory is driven by solving critical Data quality issues for a specific initiative which will ensure successful business outcomes. The methodology to be followed is detailed here DG Methodology .

Main processes

Processes are divided into 4 main domains (Data Flow, Data Quality, Data Knowledge and Data Governance Playbook (Operating Model) to which key processes are attached (see below).

> More details on processes here

4. Standard Manufacturing Architecture (StarTek)

The manufacturing architecture standard describes the IT architecture related to Manufacturing processes and activities supporting industrial use cases (incl. tools provided to the users). In 2022, the newly designed architecture called StarTek is simpler, leaner to facilitate and fasten further deployment of industrial applications. 

The new design is based on 3 core principles:

• Modular, flexible, best of breed, open architecture able to easily replace and upgrade components. Avoiding “blackbox” and proprietary solutions

• Secure and Compliant by Design according to Industry standards (EAR, ITAR)
• Consistent Data Platform across Solvay functions to Break Data Silos and enable better integration and interoperability with existing systems (MES, LIMS, ERP, …)

See below more information on the rationale behind StarTek design. 

Several use case are pursued with this architecture :

• Cold extraction of  MES data
• Self Service analytics
• Condition based monitoring (for maintenance)
• Data structuration for OEE

More on the preferred design and its pro’s and con’s ( here ).