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The Data Economy

Data is the second most valuable asset that your organization owns. Data on your customers, prospects, business processes, and supply chain can provide insights to maximize profits, find new business opportunities, and operate more efficiently. The asset that provides the most value to your organization are the team members that can make sense of that data.

The Tools of the Trade

To help you make sense of data, there has been an explosion of new tools designed to work with data in all of its formats. Apache Spark and Hadoop allow you to pool data from multiple sources and SAP HANA works in a very similar way. While NoSQL databases, such as MongoDB and Redis Labs, have matured into robust enterprise-class applications that can work with large data sets in-memory.

These tools take advantage of today’s faster processors, larger volumes of addressable RAM, and increased storage I/O bandwidth. All of today’s servers and storage systems are much more capable than anything we have seen in the past. However, that does not mean they are created equal.

Infrastructure Matters

IBM has a long history of extracting value from data. They have produced analytics standards like Cognos. And the work they are doing with Watson and cognitive computing have been well documented. It is this dedication to data that is the foundation for the hardware infrastructure that they produce today.

IBM Power Systems have the most advanced data processing technology available today. They can process transactions 3 to 5 times faster than comparable x86. They can access larger pools of RAM, with bandwidth that is 2 to 3 times faster than competitors. They also run full Linux distributions from Red Hat, SUSE, and Ubuntu that are optimized for POWER processors along with all of the development tools that you team currently loves.

Advanced Data Storage

IBM doesn’t stop at the server. Their desire to do more with data also extends to storage. They have systems that can virtualize all of the storage systems in your environment, regardless of manufacturer. This can eliminate silos of data that are currently underutilized.

They also do more with flash storage. Every storage system manufacturer is talking about flash—and for good reason. The price of flash has come down. Its performance allows you to do more with your data in real-time, including in-line analytics, compression, and deduplication. IBM uses their advanced, higher-performance I/O to allow you to address your flash storage as RAM, enabling you to analyze data sets in excess of 40TB.