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Digital Asset Management Strategy for Life Sciences Content

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ReportsDAM Strategy for Life Sciences

Digital Asset Management Strategy for Life Sciences Content

Executive Summary

Digital content in life sciences organizations continues to grow in scale and complexity. Managing this effectively across brands, geographies, and functions is now critical to achieving true organizational agility.

A well-defined digital asset management strategy helps life sciences companies streamline content operations and ensure consistency across all channels. Modern digital asset management solutions bring centralized storage, efficient retrieval through advanced tagging, and seamless integration with publishing and marketing platforms to support compliant and modular content delivery.

With the rise of AI-powered digital asset management and AI content management systems, organizations can go beyond storage and retrieval to unlock intelligent automation, content recommendations, and real-time personalization. These innovations not only drive efficiency but also maximize the value of enterprise content.

This whitepaper explores why digital asset management (DAM) is central to content management in life sciences today. It also provides a framework to assess DAM ROI and digital asset management ROI, helping teams quantify cost savings, accelerate content reuse, and achieve greater impact across brand and functional teams.

The volume of digital assets created by life sciences organizations continues to grow rapidly. At the same time, customers expect diverse content types and a higher degree of personalization in every interaction. Meeting these demands requires seamless ingestion, storage, management, access, and distribution of assets.

Traditional storage and content management systems, however, can no longer keep pace. They limit the ability of sales and marketing teams to deliver content with urgency, execute personalized campaigns at scale, and reuse assets effectively.

Key content challenges for life sciences marketing include:

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Multiple platforms creating a disintegrated approach

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Compliance complexities across global, regional, and local markets

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Managing digital rights for assets and licensed components

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Limited reuse and re-purpose of content, leading to fragmented journeys

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Difficulty in content discoverability and risk of using expired content

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Lack of effective reporting and analytics to measure impact

The solution lies in adopting modern digital asset management solutions. With the right digital asset management strategy, life sciences organizations can streamline content operations, assess DAM ROI and leverage AI innovations to drive personalization, compliance, and speed at scale.

Future-proofing pharma content with intelligent Digital Asset Management

Overcoming Pharma Content Challenges with Digital Asset Management

Life sciences organizations face unique marketing challenges compared to any other industry. Marketers must deliver an enhanced customer experience characterized by consistent messaging, compliant content, and timely delivery across diverse touchpoints. This involves reconciling multiple hurdles such as:

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Multilevel approvals and customized rule-based workflows

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Compliance and regulatory review requirements

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Maintaining content library hygiene and workflow automation

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Managing a growing variety of content formats and volumes

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Balancing cost pressures with cross-functional collaboration needs

These challenges make it critical to adopt a robust digital asset management strategy that enables seamless handling of digital assets throughout the content lifecycle.

DAM as an Enterprise-Wide Content Management Hub

Instead of storing assets across fragmented systems, servers, and drives, modern digital asset management solutions provide a centralized hub for all digital content. This hub allows life sciences organizations to:

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Catalog and tag assets efficiently for easier retrieval

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Identify redundancies across brands, formats, and messages

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Reuse and repurpose content across markets and teams

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Ensure brand consistency and accelerate content workflows

With innovations like AI-powered digital asset management, companies can further automate tagging, enhance search accuracy, and unlock content recommendations that drive personalization and compliance at scale.

Driving Efficiency, Quality, and ROI

High-quality, compliant, and contextually relevant content is now a business imperative. Yet, many life sciences organizations still lack a structured system to centrally manage their growing asset libraries, leading to inefficiencies and poor returns on content investment. By adopting AI content management systems and measuring digital asset management ROI, organizations can improve visibility across the content supply chain, strengthen compliance, and accelerate time-to-market.

Key efficiencies enabled by DAM include:

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Centralized control over how assets are listed, organized, and accessed

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Connected workflows that empower cross-functional teams to search, share, and reuse assets seamlessly

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Faster retrieval through automated tagging and metadata management across brands and functions

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Pre-approved rules to streamline medical, legal, and regulatory (MLR) review, enabling quicker repurposing and compliant content reuse.

Key Features of Digital Asset Management for Life Sciences Teams

Centralized storage

Life sciences marketers often lose time and money recreating missing or outdated assets while managing campaigns across brands and geographies. With modern digital asset management solutions, organizations can store, organize, and govern every digital file in a secure, permissions-based environment. A centralized storage repository helps eliminate issues like publishing off-brand, expired, or unlicensed creative assets.

Case in point: A global pharmaceutical firm in oncology deployed a central repository as a part of its digital asset management strategy, enabling cross-functional teams to collaborate seamlessly. This reduced content bottlenecks and accelerated campaign creation.

Enable Global-to-Local Marketing

Marketers in life sciences must balance global brand consistency with local regulatory compliance. DAM simplifies this by supporting geographic tagging, language variations, and automated approval workflows which are critical for brochures, email campaigns, and websites.

Case in point: A biopharmaceutical company with a large APAC portfolio overcame local compliance and language challenges by using DAM to streamline approvals, boost accuracy, and execute localized campaigns more efficiently.

Faster Go-to-Market

By using tags and filters, DAM breaks down content into modular components like logos, banners, product visuals, and marketing messages that can be quickly reassembled. This accelerates asset creation and ensures consistency across products, brands, and channels.

Case in point: A top 10 pharma company struggling with siloed brand marketing functions adopted AI-powered digital asset management to improve content retrieval and reassembly. The result: faster deployment of 50+ assets across 10+ brands and multiple channels, with measurable DAM ROI in reduced duplication and costs.

Content as Metadata

DAM integrates directly with publishing platforms and AI content management systems, enabling approved campaign assets to move seamlessly into websites, social platforms, and content hubs. This reduces time-to-launch and operational costs.

Case in point: A global pharma firm managing 8 brands cut publishing delays significantly. Within the first year of DAM adoption, it achieved 43% asset reuse, reduced migration time by 60%, and improved alignment with enterprise-wide content management in life sciences systems.

Asset Reuse

DAM also supports intelligent asset reuse and repurposing. Through transcoding and pre-approved standardized components, assets can be rendered into new formats while maintaining compliance and brand consistency.

Case in point: A Germany-based pharmaceutical company used automation within its DAM to standardize artwork for Patient Information Leaflets (PILs). These assets were then repurposed across brands, cutting creation and delivery times by 75% and 60% respectively.

Together, these features highlight how DAM transforms content operations by centralizing assets, enabling compliance, improving efficiency, and delivering measurable digital asset management ROI across global life sciences enterprises.

Measuring the Impact of Digital Asset Management

For life sciences organizations, measuring the effectiveness of digital asset management solutions is essential to ensure both operational efficiency and regulatory compliance. The following metrics provide a clear framework:

Time Savings

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Reduction in time spent by employees searching for assets

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Efficiency gains through faster approval processes enabled by automated workflows and metadata tagging

Compliance Standards

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Monitoring content rights management and reducing infringement risks

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Tracking adherence to industry regulations and geographic restrictions

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Attaching specific information (intellectual property rights, legal regulations, usage limits) to each asset for greater governance

Asset Reuse

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Maximizing returns by reusing and repurposing assets across brands, geographies, and campaigns

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Minimizing the need for asset recreation through tagging, metadata management, and AI-powered digital asset management capabilities

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Leveraging AI-led content curation to increase discoverability and consistency in content management in life sciences.

Calculating DAM ROI

A well-structured digital asset management strategy allows organizations to quantify impact through DAM ROI:

DAM ROI = Total Savings ($) ÷ Total Cost of Investment ($)

Total savings is derived from:

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Asset search and distribution time savings

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Asset fulfillment savings

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Asset creation and repurposing savings

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Asset compliance savings

Sample Calculations

Asset Search and Distribution Time Savings = A × (B + C)

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A = Average hourly salary of staff searching for assets

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B = Estimated staff hours per week for go-to-market of an asset

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C = Estimated staff hours per week to find and share an asset

Asset Fulfillment Savings = D × [G × (E + F)]

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D = Number of asset downloads per year

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E = Hours taken to fulfill each download before DAM

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F = Total hours spent on request fulfillment

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G = Average hourly salary of staff fulfilling asset requirements (downloads, rearrangements, organizing)

Asset Creation and Repurposing Savings = H × I

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H = Estimated value of an individual asset

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I = Number of lost assets per year

Asset Compliance Savings = J × K

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J = Estimated value of individual compliant and licensed assets

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K = Number of compliant and licensed assets per year

Case Study: Driving Content Efficiency and Compliance with DAM

The Challenge

A US-based pharmaceutical company with 1,500+ employees across 20 countries faced growing content bottlenecks and compliance issues. Without a unified platform, teams relied on traditional methods and siloed approval systems which were causing delays, disconnected workflows, and compliance risks.

The Solution

The company implemented Indegene’s DAM solution, which delivered:

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Auto-tagging and brand enhancer for systematic tagging, search, and publishing

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Version control and asset utilities for easy reuse, resizing, and conversion

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A dedicated portal to maintain library hygiene, compliance, and avoid duplicates

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Workflow management to streamline collaboration across brand teams

The Results

70% ↓

Time required for asset operations

45% ↓

Operations cost

50% ↑

Content reuse

DAM as a Catalyst for Smarter Content Operations

As life sciences organizations scale their digital presence, the demand for efficient, compliant, and globally adaptable content continues to rise. DAM not only addresses operational bottlenecks but also transforms content into a strategic enabler—driving faster time-to-market, higher asset reuse, stronger compliance, and measurable ROI. For life sciences leaders, investing in DAM is no longer optional; it is essential to deliver consistent, personalized, and compliant experiences today. Talk to us to learn more.

Authors

Maruthi Prasad

Venkatesan Subramanian

Ravivrat Pandey