3 key IT infrastructure requirements for big data and analytics

Data has the power to transform business decisions, enhance customer relationships and create new opportunities, but only if you can trust it and make sense of it in a timely fashion. Acting swiftly to capitalize on new opportunities requires an IT infrastructure that is resilient, responsive to changing demands and able to deliver real-time insights.

To produce the insights that matter, you need an infrastructure designed for speed, access and availability.

1. Speed matters (infographic)

Analyzing a large volume and variety of data is no longer enough to outperform competitors. You need speed. If you can accelerate analyses, data can become a strategic tool that helps you quickly seize new opportunities.

According to a recent study from the IBM Institute for Business Value, 69 percent of speed-driven analytics organizations created a significant positive impact on business outcomes. And 74 percent of survey respondents anticipate that executives will expect faster and faster results.

To speed insights, you need a big data infrastructure and environment that helps minimize the lag time between collecting raw data and performing insight-driven actions. Fortunately, each new generation of hardware continues to deliver significant improvements compared with its predecessors. Speed is also architected into system software. New forms of resource management software enable scale-up/scale-out architectures to perform at lightning speed. Optimizing hardware and software together, either at the middleware or application level, can help you make the most of new advances.

2. Access matters (infographic)

To improve the depth and accuracy of insights, you need shared and secured access to all relevant data, regardless of type or where it resides. The platform should be fluent in all forms of data, including transactional data, Hadoop data, sensor and device data, social media and more. With access to relevant data, you can achieve new levels of customer intimacy and competitive differentiation.

Providing that access requires an infrastructure that seamlessly integrates front-end devices, applications and engagement platforms with back-end systems. Your infrastructure should be highly flexible, scalable, tuned for today’s big data environment and designed to capitalize on the integration of social, mobile and cloud technologies.

3. Availability matters (infographic)

Analyzing big data is useful only if you can deliver insights to the right people and processes at the right time. If your systems are unavailable, you lose your competitive edge.

To help ensure system availability, your infrastructure must have self-healing capabilities, enterprise-grade continuous infrastructure management, and single-site and multisite clustering solutions. Resilience and disaster recovery are vital to enabling real-time operations and processes.

Every forward-thinking business needs the right infrastructure—one that allows it to unlock the potential offered by big data and analytics. Without it, revenue, profits, flexibility, business integrity and customer engagement are all at risk.

Infrastructure matters. It must be an early part of your planning. Don’t leave it for last.

Ready to get started with the right infrastructure?