Compute Made for Analytics: The Key to Solving for the Compute Performance Gap

The rapid data growth driven by digital transformation, along with the increasing variety of data sources and growing data streaming, has created costly and complex issues for many organizations today. The need to analyze that vast amount of data presents not only practical challenges for data analysts and engineers, but operational challenges for businesses seeking solutions to overcome the obstacles to valuable insights from those analytics. Large data sets require both physical infrastructure and supporting databases and software to be sufficiently leveraged by organizations, which come at a price. With a projected global data analytics market expected to exceed around $346.33 billion by 2030, database and data management software tools are the second-most procured pieces of software.

In our current data climate, keeping up with the performance demands of growing datasets will prove to be a top-priority for organizations, and with it, the cost. How can businesses do more with less, meeting the demands of their data-growth and analytics requirements in a way that drives revenue and competitive value?

In our latest research brief, Compute Made for Analytics: The Key to Solving for the Compute Performance Gap, done in partnership with NeuroBlade, we analyze the current data analytics environment and the obstacles surrounding the growing need for efficient and cost-effective solutions to these issues.

In this brief you’ll learn:

• The current state of the analytics environment, including infrastructure and software challenges
• How the current approach to gaining analytics insights has changed with the increase of data volume
• The obstacles created by current analytics infrastructure and the challenges of analytics acceleration
• How a comprehensive solution can both improve the speed and and value of analytics
• How Compute Made for Analytics can provide breakthrough benefits to organizations with its holistic approach, including lowering costs

Today’s businesses have many economic difficulties to address in their approach to analytics and their ever-growing data workloads. As businesses look for ways to mine value within their ever-growing data volume, while keeping analytics costs down, NeuroBlade has answered with a truly holistic approach. If you are interested in learning more, be sure to download your copy of Compute Made for Analytics: The Key to Solving for the Compute Performance Gap, today.With a projected global data analytics market expected to exceed around $346.33 billion by 2030, database and data management software tools are the second-most procured pieces of software

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