Why Should Big Data Matter to You?

With all the attention given to big data, it is no surprise that more companies feel pressure to explore the possibilities for themselves. The challenge for many has been the high barriers to entry. Put simply, big data has cost big bucks. Maybe even more perplexing has been uncertainty about just what big data might deliver for a given company. How do you know if big data matters to your business?

The advent of cloud-based data warehouse and analytics systems can eliminate much of that uncertainty. For the first time, it is possible to explore the value proposition of big data without the danger of drowning the business in the costs and expertise needed to get big data infrastructure up and running.

cloud analytics Marc Clark Teradata

Subscription-based models replace the need to purchase expensive hardware and software with the possibility of a one-stop-shopping experience where everything—from data integration and modeling tools to security, maintenance and support—is available as a service. Best of all, the cloud makes it feasible to evaluate big data regardless of whether your infrastructure is large and well-established with a robust data warehouse, or virtually nonexistent and dependent on numerous Excel worksheets for analysis.

Relying on a cloud analytics solution to get you started lets your company test use cases, find what works best, and grow at its own pace.

Why Big Data May Matter

Without the risk and commitment of building out your own big data infrastructure, your organization is free to explore the more fundamental question of how your data can influence your business. To figure out if big data analytics matters to you, ask yourself and your company a few questions:

  • Are you able to take advantage of the data available to you in tangible ways that impact your business?
  • Can you get answers quickly to questions about your business?
  • Is your current data environment well integrated, or a convoluted and expensive headache?

For many organizations, the answer to one or more of these questions is almost certainly a sore point. This is where cloud analytics offers alternatives, giving you the opportunity to galvanize operations around data instead of treating data and your day-to-day business as two separate things. The ultimate promise of big data is not one massive insight that changes everything. The goal is to create a ceaseless conveyor belt of insights that impact decisions, strategies, and practices up, down, and across the operational matrix.

The Agile Philosophy for Cloud Analytics

We use the word agile a lot, and cloud analytics embraces that philosophy in important new ways. In the past, companies have invested a lot of time, effort, and money in building infrastructure to integrate their data and create models. Then they find themselves trapped in an environment that doesn’t suit their requirements.

Cloud analytics provides a significant new path. It’s a manageable approach that enables companies to get to important questions without bogging down in technology.

And, to really figure out what value is lurking in their data and what its impact might be.

To learn more, download  our free Enterprise Analytics in the Cloud eBook.

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