What IT organizations need to know about deploying modern analytics

[StorageExperts]

As data analytics grows in importance, you need to keep these five key considerations top of mind when designing and deploying enterprise analytics capabilities.

IT leaders have had to quickly adjust to a new reality in the era of data. They need to be able to analyze new, diverse, and expanding datasets for insight and business advantage, and they need the infrastructure in place to do so ASAP. With the speed of business increases, an enterprise data analytics capability is no longer just a potentially fruitful initiative or a “nice to have.” It’s an urgent requirement that may make the difference between thriving and being left behind.

As organizations rush to build out data analytics platforms, they typically encounter common roadblocks around infrastructure deployment, hosting very large datasets, or efficiently balancing edge, core, and cloud resources and eliminating data silos. As we talk to HPE customers about planning and deploying analytics, we’ve found it useful to organize these potential challenges into five key considerations:

1. To efficiently process large volumes of data, IT needs to process data where it lives, and that’s often outside the traditional data center, at the edge. 
2. Mastering data management at the edge requires edge-based infrastructure, as well as management solutions that deliver unified visibility from core to edge.
3. Eliminating data silos is essential. IT must now support multiple analytics, machine learning, and AI teams — and each of these need frictionless access to the same data.
4. Open source analytics options require a unified approach from IT to enable data science teams to use these resources efficiently.
5. Seamless app and data mobility, increasingly powered by containers and hybrid cloud, enables flexibility and cost savings in a world of widely distributed data. IT needs to build proficiency in hybrid cloud operations.

While this may seem like an intimidating list, you can pull all this together with a data-first modernization strategy.

Get a detailed look at the above considerations and provide your IT leaders with a better sense of what to be thinking of when planning analytics platforms in the recent CIO article: 5 Trends That Will Accelerate Your Analytics Journey

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Meet Storage Experts blogger Matt Miller, HPE Storage

Matt leads Solutions Marketing for the HPE Storage business, covering such areas as file-and-object storage, scale-out storage, virtualization and containers, and cloud-native technologies. Connect with Matt on LinkedIn. You can also find him on Twitter @Matt_Miller22.

Storage Experts
Hewlett Packard Enterprise

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