Does your organization’s data center have the capacity to perform Big Data analytics to glean useful customer insights? If your answer is no, you’re not alone – most legacy data centers simply aren’t built for high-performance computing functions. In order to bridge the performance gap and crunch Big Data quickly enough to reveal actionable insights, data centers must be modernized.
The applications for Big Data analytics are wide-ranging. Consider these examples:
- Marketing and sales departments analyze Big Data to glean useful insights from disparate sources of raw information. This positions organizations to adjust their operations more effectively to answer new business trends and create more personalized customer experiences.
- Taxi alternatives such as Uber use Big Data analytics to reveal where customers are most likely to be, calculate the best routes, and determine how to build or adjust pricing effectively to take advantage of real-time demands.
- Retailers can scale up Big Data analytics to enable stores to tailor messaging right down to individual consumers standing before a certain shelf in the store.
- In healthcare, Big Data analytics enables researchers to arrive at solutions and recommendations much more quickly. Wearable diagnostic devices such as FitBit already provide real-time personal health readings, and in 10-15 years, they’ll be providing much more detailed insights, identifying potentially life-threatening conditions.
Powering up your IT infrastructure for Big Data
For Big Data analytics to be effective, performance is the key. The compute requirements are immense, and legacy environments often are incapable of delivering quick insights – especially if they’re built around older hard drives, not today’s fast-performing flash storage. When deploying a Big Data strategy, IT infrastructure teams must ensure that their data center assets are up to the task: storage and servers must deliver exceptional performance, with speed to provide real-time insights. That storage must possess extremely high density and deliver excellent uptime and high reliability. And, it must be easy to use, manage and provision.
Some tips to help you get started
The question for many organizations is: where do I begin? Here are some important points to keep in mind:
- Choosing the right platform for your data center modernization is essential. Whether you’re small-, medium- or enterprise-size may drive that platform choice. This assessment tool can help you make that determination.
- Your storage solution must deliver unprecedented levels of performance. Modern data centers are deploying a new kind of solid-state drive that combines attributes of storage and memory: Intel® Optane™ SSDs accelerate applications and enable data centers to deploy bigger data sets and gain new insights from large memory pools.
- Finally, your platform must offer speed and scalability, so that as your use of Big Data analytics grows, your data center can grow with you. But once you achieve Big Data capabilities, you’re committed to the path of gathering more and more data, which may create ongoing storage challenges down the road.
What’s right for you? Take this free assessment
Big Data analytics can offer disruptive new opportunities for everything from individualized customer service to real-time information products – but first having the right infrastructure is critical. If you want to learn about your options for putting Big Data to work, take a few moments to answer the questions in this quick Data Center Modernization self-assessment tool. Based on your input, this tool generates a free customized roadmap with useful insights and recommendations for modernizing your data center architecture, and how taking these steps now can benefit your business.
Feel free to ask a question or leave a comment below.