Bridge digital

The bridge to digital: Overcome your information management challenges for a digital future

Position your organization for success in an era of advanced technology and rapid growth

As organizations transition from paper records and traditional processes to fully digital environments driven by AI, the evolving management of physical and digital information is a top priority.

As an information management leader, you are being challenged to:

  • Clean up paper and other physical records
  • Make information accessible via strategic digitization
  • Get control of digital information and data

The path to an optimized digital future might be more attainable than you think.

Explore the resources below to start your journey.

Where is your organization facing its biggest challenges?


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Bill Morey, Head of Information Governance, Legal Operations at Oracle in Iron Mountain’s Education Series, The flip side of retention

Challenge 1

Clean up paper

With the rise of digital transformation and AI, organizations are prioritizing records cleanup to make defensible decisions, reduce cost, mitigate risk, and build a clear roadmap to the future.

But stakeholder buy-in, missing record codes, unknown content, and commingled files can complicate this process and put your paper records cleanup program on hold.

If you are currently challenged with clearing the clutter and extracting true value from your physical records, here are some resources to get you started:

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Challenge 2

Make information accessible

Scanning all your records without considering valid reasons leads to increased cost and cyber risk, content clutter for AI modeling, and an abundance of work around guaranteeing accuracy and authenticity. A better approach is to define information value and identify the most relevant records to digitize.

If your organization needs to adapt retention schedules, discover valuable information hidden in physical records, or manage large scanning projects, explore these resources:

Amy Sheaves, Head of Global Operations Transformation & Solution Strategy in Iron Mountain’s Education Series, The flip side of retention

Resources for digitization

Beyond the box: The digital impact on retention schedules

Explore how data is changing the way we manage records, the challenges of defining and retaining data, and the importance of collaboration between Information Governance and Data Governance teams.

Information Governance in the age of AI

As it integrates into the global economy, artificial intelligence (AI) is having a profound impact on Information and Data Governance. Every day, the landscape evolves. The latest Iron Mountain Education Series discussion explores the implications of AI on the economy, regulatory structures, and data management.

Data Governance vs. Information Governance: Closing the gap

Information Governance is generally accepted as a framework for managing information in all its formats, including the basic building blocks of data. But where does Data Governance fit in? Experts weigh in on the IG and DG relationship and how to maximize your information’s value and drive business goals by understanding each.

The bridge to digital: Positioning your organization for success

How can your organization position itself for success in an era of digital transformation, artificial intelligence (AI), and machine learning? Let’s explore the goals for a digital strategy and how to build a foundation for success.

Document scanning and digital storage

Transform your business and centralize your information with digital scanning and storage

3 reasons for an information governance health check

If it's been over a year since you reviewed your information governance program, you're probably due for a check-up. This paper explains why you should be doing regular health checks, and provides tips on how to get started.

digitize 1
Struggling with what to digitize?
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Strong delivery of services to build trust and value with your customers is based on truly knowing your data and knowing that your data is being used for the right purpose. Organizations need to certify their data sources to prove the lineage appropriately and indicate controls along the path.
Kelly McIsaacAssociate Vice President, Data Risk Policies and Standards at TD Bank in Iron Mountain’s Education Series, Information Governance in the age of AI
Challenge 3

Get control of data

Organizations worldwide are grappling with exponential data growth, creating even greater volume issues than they did with paper records.

Addressing your program’s data hygiene complexities can be difficult and includes classifying redundant, obsolete, and trivial data (ROT), understanding your data supply chain, and readying data for use in AI. This process can begin as far back as your physical records cleanup. After all, clean paper records = cleaner digital data.

Here are some helpful resources if you’re ready to get control of your data:

Clean Start
Are you considering a data cleanup project?
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