Blogs

Post a Comment

How next-generation infrastructure informs better, faster decision-making

August 28, 2014

Every day we create an estimated 2.5 quintillion bytes of data, and it comes from everywhere: climate sensors, social media sites, digital pictures, online videos, transaction records and more. It is bountiful and takes many forms: structured, unstructured, data at rest and data in motion.

Organizations not only need to store, manage and secure this data, but they also need to derive meaningful insights from its vast volume and variety. Analyzing a broad of range of data provides a more vivid picture of a business, its environment and the forces that affect it. Data is the new natural resource and the basis for a new kind of competitive advantage—decreasing the time between insight and action helps build that advantage.

Consider the incredible amount of unstructured data available via social media. Retailers can utilize this data (likes, location and age, for instance) to improve customer intimacy and grow engagement. This type of data simply did not exist even 10 years ago and now it can be harvested to inform business strategies and make tactical decisions in real time. By effectively discovering trends, usage patterns and customer sentiment, firms can proactively enhance products, services and policies to align more closely with customers’ needs.

The importance of reliable infrastructure

The right information at the right time can empower decision makers to accelerate business transformation, enhance customer relationships and create new opportunities. Yet, enabling the speed and agility needed for true transformation requires a resilient infrastructure specifically designed for big data and analytics.  

server room.jpgUnderscoring this need, a new IBM Institute for Business Value study reveals that 71 percent of organizations say IT infrastructure plays an important role in enabling competitive advantage or optimizing revenue and profit, whereas only 10 percent of companies report that their IT infrastructure is fully prepared to meet the demands of big data. 

Also, 46 percent of respondents consider the ability to efficiently and securely move large amounts of data from one geography to another an impediment within their existing infrastructure. Producing better insights from mobile and social data, the ability to move data among locations and store vast quantities of data for future use are all critical capabilities.

How to act strategically

There are three things we must get right:

  1. Imagine it: Build a culture that infuses analytics everywhere by establishing the right behaviors across your organization, effectively liberating teams from relying on past experiences and instinct alone as the formulators of future success.
  2. Realize it: Invest in big data and analytics platforms and infrastructure. Platforms need to capitalize on real-time information flowing through the organization—capturing, analyzing and correlating information as it arrives from thousands of sources.
  3. Trust it: Be proactive about privacy, security and governance. Create a shared set of knowledge—a set of facts, insights and correlations.

Leading organizations across the world rely on IBM’s Big Data & Analytics infrastructure portfolio and capabilities to handle data in all the ways organizations need most, and specifically by addressing the volume, variety, velocity and veracity of big data.

IBM InfoSphere BigInsights running on Power Systems provides leading analytics capabilities drawn from IBM Research that can be applied to almost any kind of data, in even the highest quantities, effectively turning data into insight. InfoSphere BigInsights on Power Systems is optimized to withstand the demands of an enterprise, adding administrative, workflow, provisioning and security features, along with best-in-class analytic capabilities.

Infrastructure plays a key role at every stage of a company’s operations by supporting seamless data access, real-time processing and securely managing data integration and governance requirements for big data and analytics workloads. From suppliers to employees to LOB leaders, they all require data to be accessible, manageable and enabled by an IT infrastructure that is agile, responsive and resilient.

Is your IT infrastructure ready?

Come join the transformation and unlock the power of big data and analytics for your business!