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Data Cleansing & Optimisation for a Life Science Company

Remote

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Project Overview

The initiative ensures high-quality, reliable data that supports efficient business operations. It includes cleansing and consolidating Vendor & Customer Master Data, implementing a partner portal for seamless engagement, and establishing best practices for ongoing data maintenance. The result is a structured, validated, and actionable data environment that enhances business performance.

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Data Cleansing & Optimisation of Vendor & Customer Master Data

 Transforming Life Science Data Integrity & Efficiency

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Business ObjectivesFeatures & FunctionalityData Governance & ComplianceData Quality & StandardisationData Integration & ConsolidationMaster Data Lifecycle Management

Business Objectives

  • Improve data accuracy, consistency, and completeness
  • Remove duplicate and redundant data to reduce inefficiencies
  • Strengthen data governance and compliance with industry regulations
  • Enable seamless vendor and customer interactions through a web portal
  • Reduce operational costs through optimised data processes
  • Enhance reporting and analytics with structured, high-quality data

Features & Functionality

  • Data Cleansing & Deduplication – Identify and remove inconsistencies, duplicates, and outdated records
  • Vendor & Customer Master Data Management – Centralised system for maintaining accurate and standardised records
  • Web-Based Partner Portal – Secure access for vendors and customers to manage interactions
  • Automated Data Validation – Rule-based checks to ensure compliance with regulatory standards
  • Integration with Sales, Finance & Marketing – Improved data flow between departments for better collaboration
  • Data Governance & Security Controls – Defined policies to ensure long-term data integrity
  • Cost & Process Optimisation – Streamlined workflows that reduce data-related operational costs

Data Governance & Compliance

  • Establishing a framework for data ownership and stewardship
  • Implementing access controls and security measures
  • Ensuring compliance with regulatory standards (GDPR, HIPAA, POPI, etc.)
  • Creating policies for ongoing data maintenance and audits

Data Quality & Standardisation

  • Defining consistent data formats and naming conventions
  • Enforcing data entry validation rules
  • Addressing missing, incomplete, or incorrect data
  • Implementing automated data quality checks

 

Data Integration & Consolidation

  • Merging data from multiple sources into a single, reliable dataset
  • Eliminating redundant or conflicting records
  • Aligning Vendor & Customer Master Data across different platforms
  • Enabling seamless data exchange between business applications

Master Data Lifecycle Management

  • Defining workflows for data creation, updates, and retirement
  • Ensuring consistency in customer and vendor records over time
  • Implementing version control and audit tracking
  • Establishing a system for continuous data quality monitoring

Project Timeline

1

Days 1-5

Data analysis, audit, and identification of cleansing requirements

2

Days 6-14

Data standardisation, deduplication, and integrity checks

3

Days 15-22

Development of the partner portal and integration with business systems

4

Days 23-30

Final testing, security validation, deployment and training

Project Highlights

Milestones and Deliverables

Each phase focuses on critical aspects such as design, development, testing, and deployment to guarantee a seamless launch.

  • Cleaned and structured Vendor & Customer Master Data.
  • Fully functional partner portal for vendor and customer interactions.
  • Data governance framework for long-term accuracy and compliance.
  • Integration with Sales, Finance, and Marketing systems.
Post-launch support & training. Integrity checks & updates.
Measurable Success Metrics

Measuring success involves tracking key performance indicators such as data integrity, sources & interfaces, and partner engagement.

  • Reduction in duplicate and inconsistent records.
  • Improved vendor and customer response times via the partner portal.
  • Increased data accuracy for reporting and analytics.
  • Cost savings through operational efficiency and reduced data errors.
 Ensuring trusted data without compromise.
Sustainable Key Outcomes

The implementation delivered streamlined operations, enhanced data consumer experience, and increased data accuracy.

  • Long-term data integrity and compliance framework.
  • Enhanced decision-making with high-quality, structured data.
  • Scalable platform for partner engagement and automation.
  • Scalable solution for future data management initiatives.
Enhanced digital processes, supporting future initiatives. 

Optimise Your Business with High-Quality Data Solutions

We provide expert data cleansing, master data management, and integration services to enhance data accuracy, streamline operations, and reduce costs. 

Whether you need a full data transformation or an ongoing governance framework, our solutions ensure trusted and structured data for better decision-making. Contact us today to discuss how we can optimise your business data.

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