Mass data fragmentation is the large and increasing proliferation of data across a myriad of different locations, infrastructure silos, and management systems. This not-used-everyday data is typically low-latency yet it makes up the vast majority of an organization’s data and often has to be held for certain periods of time to meet industry or government mandates. This data is typically contained in data management backups, archives, file shares, object stores, test and development systems, and analytics systems.
As every industry undergoes digital transformation, data has become an enterprise’s most valuable digital resource—a competitive asset. Yet mass data fragmentation has turned it into a costly and risky IT headache for many organizations. Teams that haven’t solved mass data fragmentation can’t use all of their structured and unstructured data to maximum advantage because of its wide proliferation across locations and systems on-premises and in the cloud. Solving mass data fragmentation is a key objective for organizations that want to uncover insights and fully use all of the value of their data for competitive edge. Teams that want to accelerate digital transformation by moving away from legacy infrastructure to hybrid or multiple cloud environments for maximum agility.
Fragmented data is data that is spread across on-premises and multiple cloud environments in different systems and places. Data fragmentation makes it hard for organizations to fully use all of their data value to their advantage.
Mass data is large and increasing amounts of structured and unstructured data stored digitally.
The cause of data fragmentation is often unintentional. Organizations adopt new products or approaches such as multiple clouds and all of a sudden they are now storing data across multiple environments, locations, silos, clouds, and management systems. Organizations that rely on a single multicloud data management platform avoid the causes of mass data fragmentation.
Mass data fragmentation has serious business consequences. At the top of the list: It impedes digital transformation. When data is fragmented across systems, locations, and silos, organizations cannot use it to maximum business advantage without expending more resources, including time, people, and budget.
In a recent survey by Vanson Bourne, on average, IT leader respondents said that mass data fragmentation cost them:
Data silos and legacy infrastructure present significant business and IT management challenges, costing teams time, money, and budget to try to gain value from the data they capture and store.
Data silos cause data inefficiency and data to be dark. Because there is no data sharing between functions, organizations can’t optimize capacity. This results in generations of multiple data copies that take up unnecessary capacity, or storage space, which requires more time and energy on the IT side to manage. Data silos compromise operational efficiency, too, because IT staff has to manage and coordinate multiple proprietary systems and UIs, each requiring a specialist, rather than IT generalist, to understand it.
Fragmented data is also often referred to as dark or hidden data. That’s because when there’s no single view into it from a modern data management or data protection solution, IT doesn’t know where all of its data is located, let alone what that data is—structured and unstructured, objects and files, and more. This can make siloed data not only an operational nightmare because there’s no optimization but a potentially serious compliance or security risk.
Three key factors contribute to mass data fragmentation:
Cohesity solves mass data fragmentation with multicloud data management and data protection that converges backup and recovery, file and object services, disaster recovery, development and testing environments, and analytics on a single platform.
With Cohesity, organizations achieve business goals fast by:
Cohesity’s approach removes silos while radically simplifying infrastructure or powering data management and data protection capabilities as SaaS. With Cohesity, organizations dramatically improve CapEx and OpEx and use all of their data for competitive advantage.