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Creating big data management means best of both worlds

by on May 28, 2013

There is a vast amount of information these days for companies to compete with. Every hour brings in more files that storage systems must ingest, process and store, some of them for years at a time. What's more, these resources may be needed for business intelligence projects, eDiscovery requests and a variety of other demands that means these systems must be easily searchable, despite their depth. As more organizations have to deal with these data volumes, coming up with systems that can handle them is increasingly critical.

Big data incentives
According to Wall Street and Technology, big data systems can present a significant advantage to their owners, as long as those firms can properly curate these solutions. Building a big data repository, properly assessing information and creating metrics can help construct forecasts for future economic success, employee performance management and customer engagement strategies, among other projections. However, simply generating analytics doesn't mean that companies will know how to use them properly. Business intelligence (BI) must still be applied to internal operations in order to gain meaningful value, but best practices for carrying out these assessments isn't intuitive.

The source stated that companies should be looking for trends in all of their reports and seeking out the triggers for these conditions. Peaks and falls in business performance can be traced back to specific events, and the point of BI is to determine where these initiating circumstances took place. That way, corporations can be aware of these trends the next time they encounter certain kinds of decisions, market elements and other factors that previously lead to decline.

Getting more out of legacy solutions
Still, organizations need to be able to house all these files first in order to successfully take advantage of these BI resources. In order to do that, companies must acquire technology that can store the proper depth of file resources, including coming with the proper reading and writing times so as not to get slowed down by the huge throughput that big data demands can place on corporate systems. In order to do that, many entities may consider changing out current management programs from older solutions to modern governance tools. Others are adding more fleet options to their data centers in terms of hardware extensions.

As ARN Network wrote, the price of solid-state drives and hard disk drives is declining, making them easier and cheaper to acquire. By adding these assets to tape archives and existing backups, businesses can gain more flexibility without risking the integrity of their current systems. These solutions also allow them to store more data as soon as these products are installed, helping organizations gain more BI movement while building value on their new deployments.

New:Tue, 28 May 2013 19:00:04 -0400

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