Managing Unstructured Data – New Challenges

Managing unstructured data is a growing trend that allows companies to leverage non-traditional elements of Big Data – data that obviously doesn’t fit into the structure the data analytics that previously powered business decisions and development.

The second annual report on the management of unstructured data from Komprise revealed several key issues that, beyond the hype, businesses face as technology and its processes evolve.

Especially in 2022, the growing adoption of cloud NAS and the demand for self-service for end users and departments in the cloud are key trends.

Authentic Data Services

Storage efficiency previously drove management of unstructured data, but report says it’s overtaken as a priority by the need to deliver real data services in the cloud, including the ability to leverage data of files and objects in cloud analysis tools. , to harvest value from this data.

The report surveyed companies at the enterprise level and shows that 50% of companies now manage 5PB of data or more. This is an increase of more than 10% compared to the 2021 report, when only 40% of companies reached this figure. This increase is having a significant impact on enterprise IT budgets, with most enterprises (nearly 68%) in the enterprise range spending more than 30% of their IT budgets on storage and backups.

This not only shows the importance attached to cloud-based data in an era of increasing cyberattacks, but also the origins of another trend that the report is clear about. When 30% of the IT budget is spent on storage and backup, there is an incentive to manage stored data more efficiently, providing more granularity and, ideally, reducing the cost of doing so in the process.

The Unstructured Data Management Use Case

This favors the use case of unstructured data, which can often offer clearer data lifecycle management, as opposed to simple cost savings. This is what gives unstructured data management its growing value proposition for businesses – the combination of better data lifecycle management and a greater likelihood of extracting business value from data. that companies store.

As cloud storage grows in importance and ubiquity, on-premises data storage is shrinking year by year. While in the 2021 report it was recorded at 20% of all enterprise-level data storage, it is down to 11.9% in 2022, only three-fifths of what it is. was last year. The biggest obstacle companies said was hindering their adoption of unstructured data management was the continued use of data by the workforce, meaning 42% of respondents said it was difficult move to the unstructured approach without disrupting users and applications.

That said, 65% of companies surveyed said they were planning to invest or already investing in providing unstructured data to their new analytics/big data platforms. In particular, the idea of ​​adopting new storage and cloud technologies – without incurring additional costs – appealed to 43% of survey respondents.

Beyond the obvious cost savings, 43% of peers said they expected cloud migrations to improve self-service for end users and departments when implemented , giving unstructured data management companies a clear signal of what their program should be. if they want to win business in the next 12 months.

The need for balanced decisions

Besides the focus on improving self-service functionality and realizing cost savings and increased data value, there are a handful of other issues to tackle in data management not structured over the next year.

Not the least of which is the drastic increase in data storage needs, as businesses move from storing terabytes of data to petabytes of space. This means a significant investment in legacy storage solutions – and to ensure that all business-critical data is stored in a way that is safe from cyberattacks.

The increase in data storage and application of unstructured data management might also require additional in-house staff training, alongside the economic impact of using an unstructured data management company, so the decision should not be taken lightly.

You need to be sure both what the application of unstructured data management will bring to your business in terms of flexibility and productivity, and that it makes sense in terms of results, before you press the “Go” button on unstructured data. In other words, consider the total cost of your data management strategy and set specific goals for cost savings, value enhancement and business benefits before hiring a data specialist. unstructured.

Ramon J. Espinoza