Managing unstructured data is the top priority for US IT managers

As volumes of unstructured data continue to grow, IT managers have understood the need to manage data differently, but are struggling to do so. According to a Komprise report, more than 50% of IT managers today manage at least 5 PB of data. This has increased significantly in just one year. 87% of IT managers consider managing the growth of unstructured data a top priority in 2022. This figure was 70% in 2021.

IT leaders in the United States cite their top challenges as follows:

  • move data to the cloud without disrupting users and applications
  • expensive data storage and backups
  • Obstructed visibility into data characteristics, and
  • comply with laws and regulations.

In 2022, the top priorities for managing unstructured data will be:

  • To move data to big data analytics platforms
  • Enable self-service so business users can securely leverage data services such as cloud, AI/ML, and data lakes, and
  • Optimize data storage infrastructure by increasing investments in cloud storage.

In this blog post, we’ll discuss the top challenges IT managers face in managing unstructured data and their top priorities for 2022.

The challenges of managing unstructured data

  • In 2021, only less than 40% of companies managed 5 PB or more of data. However, today more than 50% of organizations deal with that much data.
  • Nearly 68% of IT managers say their organizations spend more than 30% of their IT budget on data storage, backups and disaster recovery.
  • Hybrid cloud is the leading storage architecture, with 50% of organizations reporting a mixed on-premises and cloud storage environment. The percentage of IT managers reporting on-premises-only environments fell to 11.9% in 2022 from 20% in 2021.

cloud benefits

  • 42% of IT managers say moving data without disrupting users and applications is their biggest challenge. It is important to move data to the best storage platforms in terms of performance and cost. However, sometimes users cannot find their files once they have been moved. This can create a lot of frustration for everyone involved.

Unstructured Data Management Priorities

Main objectives

  • When asked about their goals for improving their unstructured data management strategy, IT managers say the number one goal was to be flexible. That means they want to be able to adopt new storage and cloud technologies without spending extra money on licenses or other fees, like cloud egress fees. This shows that organizations want more than just cost reductions, they also want to take advantage of new technologies and switch between them as needed to meet changing business goals and user needs.
  • The second most important goal for IT managers was to achieve a systematic approach to data management to reduce manual effort and complexity. This requires automated policies for data movement.
  • IT leaders also prioritized better visibility and analytics for better planning, reducing manual effort and errors for data migrations, and the need to better support broader data initiatives and business needs. departments.

Future strategies

  • 47% of IT managers want to invest in cloud NAS, followed by cloud object storage (43%). In addition to reducing costs, 43% believe that cloud migrations improve self-service for end users and departments.
  • Unstructured data and AI/ML are ushering in a new era for enterprise data analytics. 65% of organizations plan or already provide unstructured data to their big data analytics platforms. Automating the process of moving datasets to processing and analytics platforms will accelerate the ROI of big data analytics initiatives. Other new approaches to managing unstructured data are discussed below.

new strategies

  • Beyond cost savings, the newest use cases companies are most interested in managing unstructured data for are protecting sensitive data (63%), followed by big data analytics (41%).
  • 53% of IT managers rate advanced analytics and reporting as the most important capability of unstructured data management solutions. Other key requirements for unstructured data management software are proactive monitoring and alerting of key events, a data service becoming unresponsive or abnormal activities, and data tagging and searching.



Enterprise IT organizations are changing the way they work. Instead of managing storage, they now manage data. That’s because there’s so much innovation in the cloud. IT managers want users to be able to use the cloud to accelerate collaboration, processing, and AI/ML projects. They also want users to have a good experience and for the company to benefit from this change. To do this, they need to focus on a data-centric approach rather than a storage-centric one. This way, IT managers can stop buying and managing storage technology and focus on providing an effective unstructured data management practice.

Image and source credits: 2022 State of Unstructured Data Management Report

Read next: Gartner reveals how IT managers can avoid 10 common automation mistakes

Comments are closed.