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Overcome your records and information management challenges, regardless of location or format

Position your organisation for success

No matter where you are on the road to digital transformation, cleaning up legacy records, making strategic digitisation decisions, and getting control of your data are critical to future-proof your program.

Explore the resources below to prepare for what’s next. 

Cleaning up your legacy records? 

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Clean up paper

It’s common to feel overwhelmed by your legacy paper records, which have accumulated over the years and may include thousands of boxes spread across various locations. You want to clean up files and make strategic decisions about your inventory, but this has proven easier said than done.

We’ve developed a strategic approach to records management. We go beyond simply storing your records and provide options and innovative solutions that help you manage your inventory throughout the lifecycle.

Explore these resources to learn how cleaning up records in all locations and simplifying your inventory can improve efficiency, reduce costs, and mitigate risks: 

Make information accessible

Scanning all your records without considering valid reasons leads to increased cost and cyber risk, content clutter for AI modelling, 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 digitise.

If your organisation 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

Chantel Johnson, VP and Chief Data Officer at Bank of China in Iron Mountain’s Education Series, Digital detox: Practical ways to clean up ROT

Get control of data

Organisations 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