Organizations are constantly swamped by a tsunami of information, stretching way beyond the usual databases, spreadsheets, and datasets. In the midst of this flood, there’s a hidden giant – unstructured data. This huge, messy pile of unorganized info, including everything from text files and multimedia to social media posts and beyond, is packed with countless insights that businesses often miss.
Data retention rules are a complex issue that all companies, large and small, have to deal with. As data creation and accumulation skyrocket, the complexity of data governance has become increasingly hard to manage. The result is a process that can be intimidating, unclear, and cumbersome. But it doesn’t have to be.
Navigating the deep waters of unstructured data can be as daunting as it is pivotal. With each passing day, and each byte of data, the significance of managing this formless, yet invaluable, resource grows. Organizations should seek not only to understand but to harness unstructured data effectively. This blog takes you on a detailed journey through the world of unstructured data storage, breaking down the big deal about databases and the cloud storage universe, all while keeping things real with some practical examples from the real world.
In the vast sea of data that modern organizations track and manage, a significant portion is what we determine to be unstructured data. Text documents, e-mails, multimedia content – all this information lacks a pre-set data model or is not organized in a specified manner, making it richer in context but more challenging to interpret. Unstructured data analytics aims to unscramble these complex data sets to gain valuable insights and reveal patterns that support smarter, more informed business decisions.
Unstructured data in the modern day represents both a trove of untapped potential and a thorny challenge. While unstructured data – the chaotic, freeform data that makes up 80% of all business data – can yield crucial insights, its very nature can render traditional data analysis and management tools less effective.
The stakes for data compliance in financial institutions are at an all-time high. From strict privacy laws like GDPR and CCPA to the constant threat of cyberattacks, the mix of rules and cybersecurity issues has peaked. In the middle of all this chaos, financial institutions are looking for a guiding light, a way forward that ensures compliance while also fitting into the growth and trust goals.
In the modern age, the average person is said to generate 1.7 megabytes of ‘data’ per second allowing for the concept of ‘data’ to become a scalable commodity while, at the same time, very fragile.
Navigating the huge realm of cloud data management can sometimes feel like flying through the skies – expansive, occasionally bumpy, but full of potential for those who dare to embark on the journey.
For many companies and organizations, managing legacy data—information stored in outdated systems or formats—poses a significant challenge that can not be overlooked. Effectively managing your legacy data is crucial in maintaining business continuity, ensuring regulatory compliance, and unlocking valuable insights for strategic decision-making
