Is your cloud analytics strategy missing something?

Explore a 5-step framework to journey to the cloud with confidence.

Many of your competitors have already migrated to the cloud. You don’t want to be left behind.

But you also don’t want to make a rash decision that costs your organization significant time and resources. Discover the five critical steps to make the journey with confidence.

Align your key stakeholders on the business needs driving your upgrade.

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Delaying your upgrade means you miss an important opportunity to move your business forward and avoid future disruptions. Align early with key stakeholders in your organization on exactly what business needs are the highest priority.

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Determine the time, cost and risk of moving to the cloud.

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Before you even begin considering your upgrade options, you need to know exactly what you’re dealing with regarding project scope and complexity.

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Understand and develop a plan to deal with data gravity.

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Data gravity is a critical issue. For every workload, you need to keep the end goal in mind, gather information about the analytics workload, and architect where data is captured or stored and where processing happens so that workloads execute within your target performance and cost constraints.

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Determine what you want your new analytics platform to do for you, now and in the future.

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This is an important step to take early in your upgrade process, as the analytics platform you move to is likely a multi-year trajectory. Different platforms will expand or limit pathways for your analytics ecosystem over time.

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Select the right criteria and test to compare new analytics platforms.

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Identify the highest level you ultimately want to reach for your business and ask, “Which cloud analytics technologies are the most comprehensive and effective at accelerating all levels of the hierarchy that we want – at scale, reliably and responsibly?”

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Read the full white paper for additional details about the 5-step framework to cloud analytics.

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