Best practices for implementing self-service analytics

Key learnings from our most successful customers and best practices for implementing self-service analytics

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Self-service analytics is generally recognized as a valuable asset within corporate strategies, and it’s easy to see why: it provides process experts with the user-friendly tools they need to tackle their day-to-day challenges. It allows problems to be resolved faster and frees up central analytics groups to focus on other pressing issues.

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In this ebook, we will share five key learnings from some of our most successful customers in order to help you drive your self-service analytics journey towards success.

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For the latest unbiased reviews straight from TrendMiner users, please visit >>> G2.com

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“The digitalization wave is rolling.”

“You cannot wait until you have a final perfect solution before you start using big data tools. It’s better to do it in parallel: start using analytics while you continue to gather data.”

Hermann SchusterChief Digital Officer - Arlanxeo

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