Digitalize Product Life Cycle Management and Tech Transfer for Life Sciences
The Digital Thread for Life Sciences is a visual, product/process information framework built seamlessly into SAP ERP, that integrates people, business processes and systems to digitalize drug development and its transition to commercial manufacture. A partner that is a member of SAP’s curated startup ecosystem.
Overview
Digitalize your product and process data
DTLS will enable the easy digitalization of product/process data to support a cross functional, single archive for all process and product-related data.
Support Impact Analyses and Risk Assessments
Digitalization of drug development supports digital impact assessments through relationships between CPPs, CQAs, and Test Methods. Risk can be assessed at any level of the process.
Drive Governance and Approvals
DTLS’s robust workflow engine enables flexible and robust, rules-based governance, with life cycle management at the object level. This provides a configurable and robust approvals workflow for managing change through the life cycle of the product.
Details
Solution Type
Extensions and Add-ons
Industry
Life Sciences
Compatibility
Works with
Features
Digitalize Life Science PLM framework
DTLS provides digital ISA-88 compliant process framework for PLM data previously defined on paper. This allows for a single source of the truth for clear and robust, governance, and provides a digital archive of changes over time.
Digitalized framework to Accommodate Life Science PLM complexities
Accommodates significant complexity, particularly associated with biologics and personalized medicine. DTLS drives core components of the QBD (Quality-By-Design) methodology, such Critical Process Parameters, Test Methods, Critical Quality Attributes, Relationships and Design Spaces.
Visual Process Builder and Execution Engine
Uses a Drag and Drop “Process Builder” to create process flows and relationships, while leveraging the underlying SAP S/4HANA (or SAP ECC) data model within the tool. DTLS also has its own connected EBR solution to “execute” the process and compare actual to ideal data within visual analytics.
