Mind the Gap: The app-data gap is stifling more than just productivity

Jul 11, 2016 - By Mark Lazarus, Director of Technology, Nimble Storage

In today’s innovation-powered economy, ideas need to travel at the speed of thought. Business users now expect immediate access to data without interruption, demanding information at their fingertips anywhere and at any time. However, when the delivery of data to applications is disrupted, a gap is created – the app-data gap. This app-data gap not only has a negative impact on user experience, but also has repercussions on the business outcome and the organizational effectiveness.

According to a global study conducted by Nimble Storage on nearly 3,000 IT professionals and business users, nearly 75 percent of Southeast Asian respondents reported that the speed of applications they use significantly impacts their ability to perform their best in the workplace, with more than half (57 percent) of them saying that they lose more than 10 percent of their workday waiting on technology to deliver the information they need.

When application performance and availability are impacted by the app-data gap, organizations are forced into a reactive mode, which is a dangerous cycle for IT leaders, as there is little opportunity to partner with the business on proactive initiatives. IT is perceived as a barrier to business productivity rather than a partner in increasing competitiveness.

While it is clear that positive cultural changes can help drive greater productivity, it is important to also look at how the IT infrastructure they are providing is impacting their workers’ performance. Most often, IT teams’ first instinct is that storage infrastructure must be the primary cause of application performance issues. This presumption leads IT professionals to implement fast flash-based storage technologies to accelerate performance but flash alone does not address the 54 percent of unrelated storage issues.

Therefore, IT organizations need to leverage predictive analytics that incorporates both data science and machine learning to optimize the performance and availability of applications.

Organizations looking to plug the gap should take a holistic approach to their IT infrastructure to address the issue and ultimately improve productivity.

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