Data Management | Tenthpin

DATA MANAGEMENT

Life Sciences Is Facing Data Challenges

Tenthpin's consultants use a proven methodology for data management to ensure Life Sciences companies make the most out of their data. Our deep expertise in master data management (MDM) and harnessing multiple tools helps clients to fully assess and improve data, while reaching the optimized state for MDM.

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We know the data challenges facing Life Sciences

Life Sciences organizations face persistent data challenges that limit collaboration, visibility, and confidence in decision-making. Fragmented systems and data silos across research, clinical, manufacturing, and commercial functions make integration difficult and slow.

Weak master data management and governance result in duplication, inconsistent standards, and the absence of a trusted single source of truth. At the same time, regulatory and data privacy requirements place increasing pressure on security, auditability, and patient safety.

These challenges are often compounded by legacy systems, manual processes, and incompatible data sources, leading to data quality and integrity issues, reporting delays, and increased compliance risk. This ultimately impacts operational efficiency and speed across the pharma value chain.

How we help clients

Tenthpin offers an array of data services for Life Sciences organizations to make the most out of their data.

Data governance

We help Life Sciences organizations establish GxP-aligned data governance that ensures integrity across clinical, manufacturing, supply chain, and regulatory data.

Clear ownership, policies, and standards enable trusted, audit-ready data that boosts efficiency, strengthens submissions, and supports confident decision-making across key functions.

Data quality

We guide Life Sciences and pharma companies in strengthening their data integrity through standardized frameworks, automated validation, and continuous monitoring.

This enables accurate, compliant, and reliable data that drives regulatory confidence, operational efficiency, and informed business decisions.

Master data management

We strengthen master data management for Life Sciences customers by harmonizing data across platforms, implementing robust governance, and establishing a single source of truth.

By doing this, we drive regulatory compliance, operational excellence, and confidence across R&D, manufacturing, and commercial functions.

Data standardization & harmonization

We advise Life Sciences clients on achieving data standardization and harmonization by aligning global data models, implementing industry standards, and integrating disparate sources.

Our approach enables consistency, interoperability, and accurate analytics across R&D, manufacturing, supply chain, and commercial functions.

Data migration

We work with Life Sciences companies to execute seamless data migrations by maintaining data integrity, regulatory compliance, and uninterrupted business operations.

Our team uses proven methodologies, automation, and validation frameworks to move critical data efficiently across legacy, cloud, and S/4HANA systems.

Data catalog

We assist Life Sciences and pharma clients in implementing centralized data catalogs that streamline metadata management, enhance data discoverability, and promote transparency.

Overall, this empowers teams to trust, understand, and leverage data for analytics, regulatory compliance, and informed clinical and business decisions.

Tenthpin's approach to data management

Our methodology enables Life Sciences companies to fully assess and improve data.

Strategy

Data management: As an element of business and IT Strategy
Benefit case: Effort always aligned to defined to benefit realization targets
Stakeholder alignment: Identify issue and align stakeholders

Governance

Data quality mindset: Data quality recognized as business asset
Data ownership: RACI defined, agreed and operationalized for all data objects

Structure & standards

Structures: Definition of fundamental structure
Standards: Definition of data object standards for harmonization

Processes

To Be process: Approach to do fit gap of existing process and chart out To Be processes
Data lifecycle processes: End to end processes to support the business value chain

Organization

Organizational design: Best practices, org structure, roles & responsibilities
Data services: Efficient services for profiling, quality, etc.
Organizational readiness: Change management activities necessary to drive successful data management

System & technologies

Data quality management: Data quality measurements and dashboards
Data migration readiness: Check, cleanse, enrich & convert master data
End to end workflows: Workflows for EDM lifecycle process

How SAP MDG tackles the data management problem

SAP MDG improves data quality for better decision-making and compliance by centrally managing critical business information. By ensuring accuracy, consistency, and reliability across all systems, SAP MDG helps Life Sciences companies maintain data integrity from the offset.

Strategy

Translate corporate and GxP-compliant strategies into SAP MDG scope, domains, and success metrics.

Define SAP MDG scope for Clinical Trial Materials, Investigational Medicinal Products (IMPs), Suppliers, and Finance domains.

Structure & standards

Implement Life Sciences–specific data standards in SAP MDG data models, including regulatory and clinical attributes.

Harmonize pack size, dosage forms, material types, and status as per master data standards in clinical and manufacturing contexts.

Processes

Operationalize approval, stewardship, and change management workflows for product lifecycle and clinical supply chain.

Stewardship and sign-off for new clinical trial materials, drug formulations, and packaging specifications.

Governance

Assign data ownership, RACI, authorizations, and audit trails to ensure GxP-compliant master data.

Role-based authorizations for regulatory, quality, manufacturing, and clinical operations with auditable change logs.

Systems & technologies

Validate and replicate master data to SAP S/4HANA, MES, LIMS, CRM, and clinical systems ensuring data integrity and regulatory traceability.

Robust replication framework from SAP MDG for integration with multiple systems across clinical, manufacturing, and supply chain operations.

Our offerings with SAP MDG

We use our expertise of SAP MDG and Life Sciences to help you achieve end-to-end implementation.

End-to-end implementation

Complete delivery of SAP MDG across all domains, including custom objects if required
Conducting business /technical workshops to capture and validate requirement in alignment with organizational goals
Building, testing, and deploying solutions with strong post-go-live support

SAP MDG strategy & consulting

Evaluate current master data health and identify key challenges
Conduct workshops to define requirements and solution approach
Establish a roadmap for short- and long-term improvements

Project & program management

Manage master data implementation programs and projects
Lead client engagements and ensure end-to-end delivery of critical SAP MDG and related master data initiatives

Smart AI solution extensions

Develop smart extension components to complement SAP MDG’s standard features
Enable AI-driven voice-to-text approvals for change requests and related actions
Automate data extraction from PDF attachments for streamlined processing

MDM testing

Leverage SAP domain expertise to build a dedicated SAP MDG testing pool
Provide functional testing, role-based testing, and User Acceptance Testing (UAT) support for SAP processes
Offer Testing-as-a-Service (TaaS) for scalable and efficient QA delivery

Building proof of concept (POC)

Activate standard master data objects in the local TMC SAP environment
Gather client requirements and realize process flows as a POC before full-scale implementation

We know how to fix your data challenges

Why leading Life Sciences companies choose Tenthpin for data management.

Tenthpin methodology

Previous data project methodology and experience with pre-defined deliverables, templates, and multiple accelerators to safeguard time and quality of the project
Data management, governance for SAP and non-SAP solutions, and organizational change management

Life Sciences experience

Focused Industry Specialist and Innovation leader for Life Sciences
Solid footprint in data management area
We speak the language of data management in Life Sciences

Global delivery team & local proximity

Experienced Tenthpin team has worked together several times
Balanced mix of onsite and delivery center (offshore, nearshore) work
We have skilled consultants who have decades of experience working only in data areas for Life Science customers

Change management

We have inhouse robust change management expertise to take care of data related process changes and companywide adoption
Agile and best-practice approach to accommodate change and meet timeline