In Great Company! Splunk Listed on Deloitte 2017 Technology Fast 500

It's continually refreshing to work with a team that is always striving to achieve more; do more. We’re never content to sit back and admire past accomplishments.

However, it’s always gratifying to see Splunk be acknowledged by external organizations—for everything from our outstanding workplace culture to the strength of our company performance and award-winning technology. Today we're thrilled to share the news that Splunk has been selected as a 2017 Technology Fast 500 award winner.

Sponsored by Deloitte, the Technology Fast 500 recognizes 500 of the fastest-growing technology, media, telecommunications, life sciences and energy tech companies in North America based on percentage of fiscal year revenue growth from 2013 to 2016. This award puts us into a category shared by an elite group of organizations that are innovating while achieving remarkable growth and delivering excellent customer experiences and services.

While we're honored by this recognition, it is not the only recent feather in our cap. Just last month, we announced that we were included in the Fortune Magazine Future 50, a ranking of companies that are best-positioned for breakout growth. Beyond that, we were recognized in the Big Data & Business Analytics category for the third consecutive year in the NetworkWorld Asia Readers' Choice Product Excellence Awards 2017. And in EMEA, Splunk won both the Security Insider Readers' Choice Awards 2017 in the “Best SIEM” category and the Big Data Insider Readers’ Choice Awards 2017 for “Cognitive Computing/Machine Learning.”

While accolades are humbling, what motivates us day to day is working with an amazing team and being inspired by the endlessly innovative ways our customers are leveraging machine data to transform their businesses. And we have to mention the critical role our partners play in helping us solve our customers’ toughest business and technology challenges.

We're beyond excited about all of the opportunities ahead to help our customers leverage machine learning to turn data into answers.

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