Blog Post February 24, 2021 | 4 minute read

Are you making decisions based on bad HCO/HCP information?

In life sciences, high-quality data has never been more important. Learn how to make sure that your HCO/HCP data is trustworthy and transparent ➤

See how you can turn trusted data into a competitive advantage

Get in touch

Are you making decisions based on bad HCO/HCP information?

Master Data Management Blog by Stibo Systems logo
| 4 minutes read
February 24 2021
Are you making decisions based on bad HCO/HCP information? ➤
8:36

Trusting the data you use has never been more important in the life sciences industry

As supply chains undergo ever greater pressure to perform faster and more efficiently, business leaders need to become more data-driven in their decision making to identify areas for cost efficiency improvement, new business opportunity and transparent compliance management. However, the most business critical of data, including product, supplier and customer data, is impeding the data-driven objective. This data is lacking in quality, coherence and availability due largely to fragmented and inconsistent data management processes.

You just cannot be data-driven if you don’t trust the data you use.

Healthcare-personel-optimized

Transparency of business operations depend on the transparency of the data that support them.
Transparent customer and supplier data is the high-quality and unique data describing healthcare organizations (HCOs) and healthcare professionals/providers (HCPs).

HCO/HCP data impacts a wide range of subjects: the decisions you make about your day-to-day effectiveness, the impact on your business and the people you manage, the safety of patients, the respect of privacy and the preservation of the environment.

Unfortunately, HCO/HCP data often sits fragmented in silos across different systems. This condition inevitably results in data inconsistencies and quality issues which in turn impact the customer experience, such as delivery time and invoicing errors, and business performance such as DSO (daily sales outstanding) and accrued shipping expenses.

 

Transparent HCO/HCP master data mitigates supply chain complexity

Industries working in or alongside the life sciences and healthcare industries have complex supply chains. Customer and supplier relationships are often under scrutiny from regulators. As such, transparency in their relationships with hospitals, healthcare organizations and medical practitioners requires attentive management. To ensure its transparency, the data that describes those relationships requires a central point of accountability and governance.

Transparent HCO/HCP data:

  • Facilitates regulatory compliance reporting, such as the EFPIA code in Europe, the Sunshine Act in the USA and accounting standards such as SOX
  • Uncovers new sales and marketing opportunities based on an insightful, single view of the customer and supplier across the entire business
  • Improves demand forecasting with a deeper understanding of your customer’s needs
  • Drives operational efficiency, with customer self-service, automated processes and AI based inventory optimization
  • Improves patient and consumer safety by playing a part in the prevention of adverse events

Having confidence in your data, helps you to uncover new opportunities

A data-driven company has a plan for its HCO/HCP data. It has a data policy that defines acquisition, management and sharing of data. This policy is typically embedded as part of a wider data awareness program, often referred to as data culture.

Perhaps you have a sales function, and you are trying to find a new opportunity, or a marketing role where you need to identify which types of potential customers would be most influenced by your new products or services. Even if you are managing clinical services you will need to know that they are being delivered by qualified personnel.

Access to trusted HCO/HCP information is essential to run the business, monitor its performance and ultimately help to prevent adverse events that impact patient safety. For example, in procurement processes, it is vital to have intelligent, reliable information on suppliers and customers to ensure supply chain continuity. Or in product traceability where a complex network of suppliers, distributors and intermediaries needs to be represented accurately and comprehensively.

But where does HCO/HCP information come from? Who is responsible for it? Is it accurate? What other information is connected to it that you could use? What are the limits of your own responsibility in using this information? The answers to these questions determine your level of maturity in data transparency and hence your ability to embrace data-driven decision making.

 

Governing HCO/HCP information is the mission of master data management, not of CRM

But is this data not being looked after by the CRM system?

As a strategic asset, curating HCO/HCP information is a master data management task that requires its data governance policy to be defined and executed at an enterprise level. A CRM is only focused on supporting its own domain of activity. A CRM is not wholly concerned, for example, about the ERP data that is used to support shipping. Likewise, a CRM is not directly integrated with the business analytics processes that support demand forecasting, and it is not an integral part of the financial systems that support invoicing. Indeed, all these other systems have their own interpretation of what good HCO/HCP looks like and how it should be managed.

Unlike CRM, master data management focuses on accountability for the data itself. There is organisational responsibility for its stewardship, security and quality. Master data management works alongside your CRM, ERP and other business systems, ensuring that they all benefit from accurate, coherent and insightful customer data.

To ensure customer and provider data quality across many different business applications, the master data management software must be capable of:

  • Collecting, enriching and validating customer data from many disparate sources
  • Monitoring and controlling data quality based on business agreed data definitions and data quality rules
  • Sharing coherently data across the business, for example, with your regulatory information management (RIM), marketing automation systems and business analytics, so that decision making is more reliably and readily executed

Master data management bounds these capabilities into a business process of data stewardship, to ensure accountability and transparency of data.

From untrustworthy data to actionable insight

Master data management identifies uniquely your customers, suppliers and providers so that you may have a trusted base of information from which to build more insightful views of your relationship with them.

  • Purchasing departments can make better decisions on their choice of suppliers or indeed reduce them in number
  • Sales representatives can see how their customer’s organisation is connected to help identify new business opportunities
  • Business leaders can better anticipate demand and measure channel performance based on trusted analytics

Why you need master data management to become data-driven

Master data management implements the accountability required for data to be transparent. Transparent data is trustworthy, auditable and complete.

With a unified, trusted and governed view of your HCP/HCP data, you can enrich it and thus enhance its value through the addition of other trusted information sources, even from outside of the organization, such as IMS, CMS, MedPro and regional medical registers.

 

The value of high-quality customer master data

If your internal data sources containing HCP and HCO information have not been maintained using the same data policies, this can be a risk that grows only more intense as more data sources are added, especially when the ambition becomes enterprise-level data-driven decision making.

This is exactly where master data management can help: adding master data into the mix with operational and analytical data provides a compass with which to improve accuracy of data navigation.

Analytical models can leverage the master data references in order to support data-driven decision making; and with traceability and transparency in mind, master data management also helps to identify the data lineage associated with data-driven decisions.

Master data management enables advanced analytics to work on more joined-up information in a way that it can be trusted and shared across enterprise organizational boundaries.

Master data management gives you trust and transparency in your HCO/HCP data and is therefore, an indispensable tool to anticipate your customers’ needs and ultimately improve patient healthcare.

EXPLORE

Master Data Management for Life Sciences

Build better business controls around your customer, product and financial reference data; accelerate digital transformation and bolster regulatory compliance with MDM for life sciences.
LEARN MORE
industry_life-sciences_optimized
Master Data Management Blog by Stibo Systems logo

Driving growth for customers with trusted, rich, complete, curated data, Matt has over 20 years of experience in enterprise software with the world’s leading data management companies and is a qualified marketer within pragmatic product marketing. He is a highly experienced professional in customer information management, enterprise data quality, multidomain master data management and data governance & compliance.

Discover blogs by topic

  • See more
  • MDM strategy
  • Data governance
  • Retail
  • Customer and party data
  • Data quality
  • Product data and PIM
  • AI and machine learning
  • Manufacturing
  • Product Experience Data Cloud
  • Supplier data
  • Consumer packaged goods
  • Customer experience and loyalty
  • Data compliance
  • Sustainability
  • Data integration
  • Financial services
  • Compliance and risk management
  • Operational efficiency
  • Customer Experience Data Cloud
  • Location data
  • Product data syndication
  • Multidomain data
  • Product onboarding
  • Supplier Data Cloud
  • Business Partner Data Cloud
  • ERP success
  • Life sciences
  • Location Data Cloud
  • Automotive
  • Data modeling
  • Data sourcing
  • Digital asset management
  • Platform
  • Translation and localization
  • Data delivery
  • Data sharing
  • Digital shelf analytics
  • Enhanced content
February 24, 2026

BIC's Blueprint for Conquering Complex Global Product Data Challenges

February 17, 2026

Product 360 After the Salesforce Acquisition: Why You Need to Map Out a Plan B

January 27, 2026

5 Hidden Costs of Bad Customer Data in Retail (and How to Avoid Them)

January 20, 2026

What is the difference between CPG and FMCG?

January 13, 2026

Discover the Value of Your Data: Master Data Management KPIs & Metrics

January 13, 2026

Solving Retail Data Fragmentation: The Key to Consistent Customer Journeys

January 5, 2026

What is a Data Domain? Meaning & Examples

December 15, 2025

The Difference Between Master Data and Metadata

December 10, 2025

Is Your PIM Strategy Future-Ready? 3 Takeaways from the SPARK Matrix™ Report

December 9, 2025

Master Data Management Roles and Responsibilities

December 9, 2025

Product Listing Page Best Practices: How to Create Better Product Listings with PIM

December 8, 2025

The Board of Directors’ Guide to Selecting Product Experience Software (With Checklist)

December 5, 2025

5 PIM Trends That Will Define 2026 and the Near Future (And How to Prepare for Them)

December 4, 2025

Process Insurance Claims Faster with Trusted Data

December 4, 2025

10 Dangerous Myths About Managing Your B2B Partner and Account Data

December 3, 2025

Fixing Fragmented Customer Account Data: Stop Losing Revenue and Trust

December 2, 2025

A Quick Guide to Golden Customer Records and How to Create Them with Master Data Management

December 2, 2025

How Master Data Management Keeps Manufacturers Compliant — From Design to Delivery

November 20, 2025

What is Manufacturing-as-a-Service (MaaS)?

November 18, 2025

AI in Retail: How to Make Your Data Ready to Use in Microsoft Fabric

November 17, 2025

What is Party Data? All You Need to Know About Party Data Management

November 4, 2025

Consumers are Using AI-Powered Tools to Shop Smarter: Why Retail Data Trust Matters More than Ever

October 29, 2025

CDP and MDM: Complementary Forces for Enhancing the Customer Experience

October 27, 2025

How to Estimate ROI of Master Data Management

October 24, 2025

Model Context Protocol (MCP): The Missing Layer for AI Systems That Interact with Enterprise Data

October 20, 2025

Managing Product Complexity: Leveraging Custom Product Management with BOM-Level Precision

October 2, 2025

How CPG Brands Scale D2C Business Without Breaking What Already Works

September 24, 2025

How Leading Brands Built Trusted Data with Amplifi and Stibo Systems

September 11, 2025

Is Your Data the Cause of Flawed AI Outputs?

September 8, 2025

What’s Next for GenAI in Product Experiences?

August 27, 2025

PIM and MDM: Key Differences, Benefits and How They Work Together

August 13, 2025

The 5 Biggest Retail Trends in 2026

August 12, 2025

From Zero to Launch in Under 6 Months: A Quick Guide to Deploying Master Data Management

August 12, 2025

5 CPG Industry Trends and Opportunities for 2026

August 5, 2025

How Operations Leaders are Modernizing Manufacturing Data Without Halting Production

August 4, 2025

Digital Product Passports: The Data Management Mandate

August 1, 2025

How to Improve Back-End Systems Using Master Data Management

July 14, 2025

Product Attribution Strategies That Convert Searchers into Buyers

July 9, 2025

How to Get More Value from Your Data: The Benefits of Master Data Management

July 4, 2025

The Complete PIM Features Guide: The Capabilities You Need for Successful Data Strategies

June 26, 2025

PIM explained: How Product Information Management transforms data quality

June 25, 2025

What is master data management? A complete and concise answer

June 12, 2025

Better Together: CRM and Customer Master Data Management

June 11, 2025

How CPG Сompany Bonduelle Сentralized Product Data Across 37 Countries

June 10, 2025

Master Data Management Tools: A Complete Guide

May 23, 2025

How Signet Jewelers Built Trust in Its Retail Data

May 12, 2025

Manufacturing Trends and Insights in 2026

April 30, 2025

Data Migration to SAP S/4HANA ERP: The Fast and Safe Approach with MDM

April 15, 2025

5 Key Trends in Product Experience Management

April 4, 2025

Trust the Machine: Making AI Automation Reliable in Master Data Management

April 2, 2025

How Agentic Workflows Are Changing Master Data Management at the Core

March 17, 2025

What is Smart Manufacturing and Why Does it Matter?

March 11, 2025

How to Implement Master Data Management: Steps and Challenges

March 7, 2025

MDM and AI: Real-World Use Cases and Learnings From OfficeMax and Motion Industries

February 27, 2025

Reyes Holdings' MDM Journey to Better Data

February 17, 2025

The Future of Master Data Management: Trends in 2026

February 3, 2025

8 Best Practices for Customer Master Data Management

February 3, 2025

4 Trends in the Automotive Industry

January 29, 2025

How to Choose the Right Data Quality Tool?

January 28, 2025

AI Adoption: A High-Stakes Gamble for Business Leaders

January 27, 2025

All You Need to Know About Supplier Information Management

January 27, 2025

How Kramp Optimizes Internal Efficiency with Data Strategy

January 27, 2025

From Patchwork to Precision: Moving Beyond Outdated and Layered ERP Systems

January 24, 2025

Thriving Beyond NRF 2025 with Trustworthy Product Data

January 23, 2025

Building the Future of Construction with AI and MDM

January 17, 2025

Why Addressing Data Complexity in Pharmaceutical Manufacturing Is Critical

January 17, 2025

How URBN Leverages Data Management to Support Its Sustainability Information  

January 14, 2025

An Introductory Guide to Supplier Compliance

January 6, 2025

How to Avoid Bad Retail Customer Data

December 17, 2024

How to Implement Data Governance

December 11, 2024

Gen Z: Seeking Excitement Beyond Amazon

December 10, 2024

A Modern Guide to Data Quality Monitoring: Best Practices

December 9, 2024

What is Supply Chain Analytics and Why It's Important

December 5, 2024

What is Supplier Lifecycle Management?

December 3, 2024

Using Machine Learning and MDM CBAM for Sustainability Compliance

November 25, 2024

AAPEX and SEMA: The Automotive Aftermarket Industry’s Mega-Showcase

October 22, 2024

Live Shopping: How to Leverage Product Information for Maximum Impact

October 16, 2024

Why Data Accuracy Matters for CPG Brands

October 15, 2024

Why Choose a Cloud-Based Data Solution: On-Premise vs. Cloud

September 23, 2024

How Master Data Management Can Enhance Your ERP Solution

September 20, 2024

Navigating Change: Engaging Business Users in Successful Change Management

September 11, 2024

What is Digital Asset Management?

September 3, 2024

How to Improve Your Data Management

August 30, 2024

Digital Transformation in the CPG Industry

August 27, 2024

Responsible AI Relies on Data Governance

August 19, 2024

Making Master Data Accessible: What is Data as a Service (DaaS)?

August 15, 2024

6 Features of an Effective Master Data Management Solution

August 13, 2024

Great Data Minds: The Unsung Heros Behind Effective Data Management

August 6, 2024

A Data Monetization Strategy - Get More Value from Your Master Data

August 4, 2024

Introducing the Master Data Management Maturity Model

July 31, 2024

What is Augmented Data Management? (ADM)

July 17, 2024

GDPR Data Governance and Data Protection, a Match Made in Heaven?

May 12, 2024

What Is Master Data Governance – And Why Do You Need It?

April 11, 2024

Guide: Deliver flawless rich content experiences with master data governance

April 10, 2024

Risks of Using LLMs in Your Business – What Does OWASP Have to Say?

April 9, 2024

Guide: How to comply with industry standards using master data governance

April 2, 2024

Guide: Get enterprise data enrichment right with master data governance

April 2, 2024

Guide: Getting enterprise data modelling right with master data governance

April 2, 2024

Guide: Improving your data quality with master data governance

March 25, 2024

How to Get Rid of Customer Duplicates

March 18, 2024

5 Tips for Driving a Centralized Data Management Strategy

March 18, 2024

What is Application Data Management and How Does It Differ From MDM?

February 20, 2024

5 Key Manufacturing Challenges in 2025

February 20, 2024

How to Enable a Single Source of Truth with Master Data Management

February 12, 2024

What is Data Quality and Why It's Important

February 7, 2024

Data Governance Trends 2026

February 6, 2024

What is Data Compliance? An Introductory Guide

January 18, 2024

How to Build a Master Data Management Strategy

January 16, 2024

The Best Data Governance Tools You Need to Know About

January 15, 2024

How to Choose the Right Master Data Management Solution

December 19, 2023

Building Supply Chain Resilience: Strategies & Examples

November 29, 2023

Shedding Light on Climate Accountability and Traceability in Retail

November 13, 2023

Location Analytics – All You Need to Know

October 16, 2023

Understanding the Role of a Chief Data Officer

October 5, 2023

5 Common Reasons Why Manufacturers Fail at Digital Transformation

September 29, 2023

How to Digitally Transform a Restaurant Chain

September 14, 2023

Three Benefits of Moving to Headless Commerce and the Role of a Modern PIM

July 6, 2023

12 Steps to a Successful Omnichannel and Unified Commerce

June 28, 2023

Navigating the Current Challenges of Supply Chain Management

April 6, 2023

Product Data Management during Mergers and Acquisitions

March 14, 2023

A Complete Master Data Management Glossary

March 1, 2023

Asset Data Governance is Central for Asset Management

February 21, 2023

4 Common Master Data Management Implementation Styles

February 14, 2023

How to Leverage Internet of Things with Master Data Management

February 13, 2023

Sustainability in Retail Needs Governed Data

January 4, 2023

Innovation in Retail

November 21, 2022

Life Cycle Assessment Scoring for Food Products

November 14, 2022

Retail of the Future

November 7, 2022

Omnichannel Strategies for Retail

November 5, 2022

Hyper-Personalized Customer Experiences Need Multidomain MDM

October 25, 2022

What is Omnichannel Retailing and What is the Role of Data Management?

October 18, 2022

Most Common ISO Standards in the Manufacturing Industry

October 17, 2022

How to Get Started with Master Data Management: 5 Steps to Consider

October 1, 2022

An Introductory Guide: What is Data Intelligence?

September 15, 2022

Revolutionizing Manufacturing: 5 Must-Have SaaS Systems for Success

August 25, 2022

Digital Transformation in the Manufacturing Industry

August 17, 2022

Master Data Management Framework: Get Set for Success

June 15, 2022

Supplier Self-Service: Everything You Need to Know

June 14, 2022

Omnichannel vs. Multichannel: What’s the Difference?

June 10, 2022

Create a Culture of Data Transparency - Begin with a Solid Foundation

May 31, 2022

What is Location Intelligence?

May 30, 2022

Omnichannel Customer Experience: The Ultimate Guide

May 24, 2022

Omnichannel Commerce: Creating a Seamless Shopping Experience

May 11, 2022

Top 4 Data Management Trends in the Insurance Industry

May 1, 2022

What is Supply Chain Visibility and Why It's Important

April 21, 2022

The Ultimate Guide to Data Transparency

April 20, 2022

How Manufacturers Can Shift to Product as a Service Offerings

April 16, 2022

How to Check Your Enterprise Data Foundation

April 14, 2022

An Introductory Guide to Manufacturing Compliance

March 31, 2022

Multidomain MDM vs. Multiple Domain MDM

March 23, 2022

How to Build a Successful Data Governance Strategy

March 22, 2022

What is Unified Commerce? Key Advantages & Best Practices

March 17, 2022

6 Best Practices for Data Governance

March 16, 2022

5 Advantages of a Master Data Management System

February 24, 2022

Supply Chain Challenges in the CPG Industry

February 14, 2022

Top 5 Most Common Data Quality Issues

February 10, 2022

What Is Synthetic Data and Why It Needs Master Data Management

February 8, 2022

What is Cloud Master Data Management?

January 28, 2022

Build vs. Buy Master Data Management Software

January 27, 2022

Why is Data Governance Important?

January 24, 2022

Five Reasons Your Data Governance Initiative Could Fail

January 21, 2022

How to Turn Your Data Silos Into Zones of Insight

January 16, 2022

How to Improve Supplier Experience Management

January 16, 2022

​​How to Improve Supplier Onboarding

January 11, 2022

What is a Data Quality Framework?

January 4, 2022

The Ultimate Guide to Building a Data Governance Framework

December 20, 2021

The Dynamic Duo of Data Security and Data Governance

December 20, 2021

How to Choose the Right Supplier Management Solution

December 6, 2021

How Data Transparency Enables Sustainable Retailing

December 1, 2021

What is Supplier Performance Management?

November 7, 2021

The Complete Guide: How to Get a 360° Customer View

October 29, 2021

How Location Data Adds Value to Master Data Projects

October 15, 2021

What is a Data Mesh? A Simple Introduction

September 2, 2021

10 Signs You Need a Master Data Management Platform

August 31, 2021

What Vendor Data Is and Why It Matters to Manufacturers

August 25, 2021

3 Reasons High-Quality Supplier Data Can Benefit Any Organization

August 9, 2021

What is Reference Data and Reference Data Management?

July 25, 2021

GDPR as a Catalyst for Effective Data Governance

May 12, 2021

How to Become a Customer-Obsessed Brand

April 27, 2021

How to Create a Master Data Management Roadmap in Five Steps

April 13, 2021

What is a Data Catalog? Definition and Benefits

April 8, 2021

How to Improve the Retail Customer Experience with Data Management

March 25, 2021

Business Intelligence and Analytics: What's the Difference?

March 21, 2021

What is a Data Lake? Everything You Need to Know

February 24, 2021

Are you making decisions based on bad HCO/HCP information?

December 15, 2020

5 Trends in Telecom that Rely on Transparency of Master Data

November 19, 2020

10 Data Management Trends in Financial Services

October 29, 2020

What Is a Data Fabric and Why Do You Need It?

October 14, 2020

Transparent Product Information in Pharmaceutical Manufacturing

August 23, 2020

How Retailers Can Increase Online Sales in 2025

August 14, 2020

Master Data Management (MDM) & Big Data

August 9, 2020

Key Benefits of Knowing Your Customers

July 21, 2020

Customer Data in Corporate Banking Reveal New Opportunities

July 18, 2020

4 Ways Product Information Management (PIM) Improves the Customer Experience

July 1, 2020

How to Estimate the ROI of Your Customer Data

June 17, 2020

How to Personalise Insurance Solutions with MDM

May 25, 2020

How to Get Buy-In for a Master Data Management Solution

July 18, 2019

How to Improve Your Product's Time to Market With PDX Syndication

June 1, 2019

8 Tips For Pricing Automation In The Aftermarket

March 15, 2019

How to Drive Innovation With Master Data Management