Elastic s Steve Mayzak gives CBR his top five tips for selecting the right products for large-scale analytics projects.

From mitigating financial risk by detecting fraud to creating recommendation engines and optimising the customer experience, data is helping companies solve increasingly complex problems.

What, then, have we learned over the past few years as data has moved to the forefront of organisations?

With options ranging from proprietary software to cloud-based software and open source tools, today s developers, architects, and IT professionals have many choices when it comes to large-scale analytics projects.

Finding tools that increase project success and help you avoid common pitfalls is key.

The biggest mistake companies make when embarking on an analytics project is to go too big, too soon.

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