Data is exploding across a variety of sources such as climate sensors, social media sites, digital pictures, online videos, transaction records, and call data records from mobile phones—just to name a few. It is estimated that by 2020, there could be more digital data than all the grains of sand on Earth.1
Today’s organizations need to leverage the data explosion to create competitive advantages. In fact, top performing organizations are 3.6 times more likely to be applying analytics than their peers.2 Leveraging traditional, structured data alone in batch mode will no longer suffice. Organizations must find a way to use more data to make better decisions. Solutions designed for big data extend beyond traditional transactional sources of data to generate insight across unstructured, semistructured and streaming sources faster and with confidence.
Data will continue to grow at astronomical rates. Leaders need to find critical insights and drive timely decisions to achieve business goals. To meet this challenge, many organizations are deploying Linux-based IT infrastructures designed to capably handle both structured and unstructured data, making it easier to capture, manage, analyze and act on insights.
Big data analytics solutions on IBM Power Systems help businesses gain new insights with scalable, powerful offerings. The combination of IBM InfoSphere BigInsights software to analyze data-at-rest and InfoSphere Streams software to analyze data-in-motion provides the most robust set of analytic capabilities for big data, bringing analytics to the data rather than the other way around. The POWER architecture has been built with new innovations to accelerate analytic workload performance even further.
1 IBM BD&A Turn data and analytics into competitive advantage: http://www.ibm.com/big-data/us/en/big-data-and-analytics/
2 Making a Smarter Planet with Big Data & Analytics: http://www.ibm.com/big-data/us/en/big-data-and-analytics/new-business-models.html