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Managing Data in the Information Hyperinflation Era

Authored by IBRS - Mar 8, 2024

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The largest driver of information hyperinflation is remote and hybrid work
How are organisations grappling with information hyperinflation?
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Information hyperinflation is the massive surge in newly generated and shared information, or data, and it’s crippling the ability of companies to stay compliant with industry regulations.

Information managers are under increasing pressure to facilitate efficient categorisation and retrieval of data. Traditional information scale management and governance approaches simply aren’t enough to keep up with the rapid pace. 

Now regulators are asking enterprises for proof that they can effectively manage the totality of their data in a scalable, accurate, and effective manner. It’s a monumental task, considering the amount of highly collaborative, unstructured information assets an enterprise creates, at such a rapid rate, and spread so widely across collaboration platforms.  

In fact, the challenge is so great, 32% of organizations “lack or must recreate their information management policy” to ensure effective management of their overwhelming amount of data. This is according to a new research report conducted by IBRS, commissioned by EncompaaS,  to better understand the perspectives of senior IT specialists involved in managing Australian organisations’ information assets.  

Our CEO, Jesse Todd, weighs in on this change, stating, “It’s no longer acceptable to simply remediate a breach. Regulators now have an expectation that organisations are proactively reducing their compliance and privacy risks, and there are significant fines to enforce this behaviour. 

“There is also the expectation from shareholders and customers to be responsible corporate citizens. You will be judged by how well you can execute your information management policies across your organisation, and prove to regulators and the community that you can effectively de-risk and manage your data at scale.” 

Jesse Todd, CEO EncompaaS

Thankfully, there is a growing belief that AI (Artificial Intelligence) offers some interesting solutions for effectively managing the impact of information hyperinflation. 

The largest driver of information hyperinflation is remote and hybrid work

The IBRS study revealed that enterprises turned to a greater number of collaboration platforms with the rise of hybrid and remote work. This was a fundamental change in their operations, spreading their information to a greater number of platforms– media, community sites, online learning, and file-sharing services such as SharePoint, Teams and OneDrive.  

It is not just that there is more data. The type of data has shifted as well. While corporate information was once primarily text-based, it now encompasses various forms of media, such as images, audio, and video, as shown in the IBRS report.  

Additionally, the advent of generative AI has drastically expedited the volume and speed of content production, further compounding the growth of unstructured data at an unprecedented pace. 

“Senior executives – not just those directly involved in information management solutions and policies – within organisations now realise that the multiple information repositories and collaboration platforms increase risks and potentially disrupt compliance with governance and regulatory policies,” the IBRS report states. 

According to the report, 51% of survey respondents state that effectively managing and governing such a landscape is their greatest information management challenge today. 

How are organisations grappling with information hyperinflation?

Many organisations are trying to cope with the overflow of information within their existing EDRM solutions, collaboration tools, and Microsoft Office environments. 

The ‘introduction or expanded use of Office 365, SharePoint and Teams’ and ‘updating EDRM solutions to manage data across many locations’ was stated in the report as impacting half of the participants’ near-term information management plans and investments. 

Despite these investments, the report states that information management professionals are less confident in their organisation’s ability to manage information hyperinflation, with only 28% believing they’re doing so well, according to the report.  

“The challenges that organisations face is overwhelming and traditional methods are failing. The amount of data relating to privacy is now in the range of petabytes.To keep up with the pace and complexity of this challenge, we now need to understand that data not only with great accuracy but also at great scale. The only way to do that is with technology.”

Jesse Todd, CEO EncompaaS

The IBRS report further outlines that 53% of organisations are considering factoring content cognition (a subset of Intelligent Document Processing) into their future information management strategies, with another 18% stating it was very likely they would.  

This confirms earlier analysis that 22% of participants were already actively leveraging AI-infused information management tools, according to the IBRS report.  

This demonstrates a growing belief among enterprises that AI can help them manage the impact of information hyperinflation effectively.  

For more information on how AI will drive the next wave of information management innovation, download the full IBRS Report below or head to our dedicated IBRS Report Hub.

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IBRS

Analysis. Insight. Judgement.

IBRS is a boutique Australian ICT and digital advisory company. They help their clients mitigate risk and validate their strategic decisions by providing independent and pragmatic advice that is fit for purpose for their specific business issues.

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Content Cognition to the rescue

As organisations grapple- with the challenges posed by a surge in information, there is a growing belief that AI can offer solutions to manage its impact effectively.

This report explores the perspectives of senior information and technology specialists involved in managing Australian organisations’ information assets. It seeks to understand their concerns, strategies, and experiences regarding the potential of content cognition (a specialised area of AI) in addressing the challenges posed by information hyperinflation.

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