If you don’t know what it is, and where it’s located, how can you know what data must be kept and what can safely be deleted? That can raise serious compliance or security risks, and limit storage optimization. This rising volume of fragmented data is also dark-making it almost impossible to see what you have and where it’s stored. Operational efficiency is compromised by the need to manage and coordinate multiple proprietary systems and UIs, each requiring specialist understanding. This leads to the generation of multiple copies that take up unnecessary storage space. With no sharing of data between functions, storage cannot easily be optimized. Infrastructure silos can impact system and operational efficiency. However, when teams no longer have complete visibility into their data, fragmentation becomes a considerable challenge. Data fragmentation is often accidental as organizations store more and more information to benefit the business. Mass data fragmentation is the ever-growing proliferation of data-across different locations, silos, clouds, and management systems-that prevents organizations from fully utilizing its value. What Is the Main Cause of Data Fragmentation? ![]() For these reasons, organizations are working to eliminate mass data fragmentation. Not only do they fail to monetize their data, but not using it effectively eventually leads to poor customer experience, which directly impacts the bottom line. This puts businesses at risk of losing competitive advantage. Yet, as data grows in different application, storage, geographic, and operational silos as well as in various clouds, teams lose the ability to harness its power and derive full value from it in terms of accurate and meaningful business insights. Leveraging data strategically is one of the critical drivers of successful digital transformation-which in turn improves productivity, insight, and profits. Recently, and with the help of new technologies, businesses have been able to make great strides in collecting, analyzing, organizing, and getting value from their data. ![]() Why Is Data Fragmentation Important?ĭata is the most important asset for virtually all organizations. That’s what raises cost, performance, risk, and management issues. Visibility of your data, which is critical for environments that must adhere to regulatory compliance, also becomes difficult. When data is scattered across many different silos-whether in clouds or on-premises-this fragmentation causes computer capacity to be used inefficiently. The definition of data fragmentation hints at the frustration: data is distributed across different systems and locations, preventing organizations from getting full value from their data. One of the key reasons for this is data fragmentation. Instead, companies often view data as representing challenges such as high storage costs, complex management problems, increasing compliance risk, and even putting a damper on IT morale. ![]()
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