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From Not Speaking English To $100M ARR

Meet Kazuki Ohta. As the CEO & Founder of Treasure Data, he helps the world’s leading brands balance privacy and data to power great customer experiences in Marketing, Service, and Sales.

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Who is Kaz?

Kazuki “Kaz” Ohta is the CEO at Treasure Data, a leading customer data platform.
Previously, he was the founding Chief Technology Officer (CTO) at the company. Prior to that, in 2009, Kaz co-founded the world’s largest Hadoop User Group.

Kaz moved to America without even knowing how to speak English, where he overcame this obstacle and majored in computer science. During that time, his professor built the world’s faster supercomputer (essentially 500K computers combined into one), and Kaz was part of the team that built the file system.

A long-time open source advocate, Kaz has made numerous contributions to open source software and was instrumental in developing the open-source applications Fluentd, Embulk, and Messagepack.

In his free time, Kaz enjoys building up his sake collection (importing cases from Japan every month), and during the pandemic, he learned how to properly cut sashimi-style sushi (Maguro O Toro is my favorite). In addition, Kaz is also really deep into gaming, specifically Fortnite!

Highlights
CEO & Founder (former CTO) at Treasure Data, a leading enterprise customer data platform
Treasure Data raised $234M led by Japan-based operating company SoftBank
In the first two years, Treasure Data grew to $5M ARR and reached $10 million ARR by year three, then $25 million over the next three years
Co-Founded the world’s largest Hadoop User Group in 2009
Kaz enjoys building up his sake collection (importing cases from Japan every month)
Who is Kaz?

Kazuki “Kaz” Ohta is the CEO at Treasure Data, a leading customer data platform.
Previously, he was the founding Chief Technology Officer (CTO) at the company. Prior to that, in 2009, Kaz co-founded the world’s largest Hadoop User Group.

Kaz moved to America without even knowing how to speak English, where he overcame this obstacle and majored in computer science. During that time, his professor built the world’s faster supercomputer (essentially 500K computers combined into one), and Kaz was part of the team that built the file system.

A long-time open source advocate, Kaz has made numerous contributions to open source software and was instrumental in developing the open-source applications Fluentd, Embulk, and Messagepack.

In his free time, Kaz enjoys building up his sake collection (importing cases from Japan every month), and during the pandemic, he learned how to properly cut sashimi-style sushi (Maguro O Toro is my favorite). In addition, Kaz is also really deep into gaming, specifically Fortnite!

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Topics
What Your Audience Could Learn
MarTech Industry In 5-10 Years: How To Future-Proof Your Company

Digitalization is a growing concern around privacy, over the next 5 to 10 years. A lot of companies face this digital disruption, but they’re not catching up enough. Everything changed in the last 18 months. People are getting sued and fined because they collected email addresses for one purpose, then mistakenly used that information for targeted advertisement.

On your podcast, Kaz can talk about where the MarTech industry is going over the next 5 – 10 years and how to future-proof your company. Specifically, how a centralized customer data management solution will prevent any misuse of information. He’ll explain why companies need to understand customers by data, and then use the data to personalize the experience, otherwise, they will be losing to competitors.

Connected Customer Experiences: Harnessing The Power Of Data

There are 8000 market vendors in the Martech industry, all saying different things. This causes fragmentation and confuses the buyers. All the different advertising and messaging make it really hard to figure out what you actually need… So how do companies leverage the power of data to improve customer experiences and make decision-making easy?

On your podcast, Kaz can share how to harness the power of data to create connected customer experiences. Specifically, why consolidating all of the data across the enterprise, will enable you to have a customer 360 view. Having all experiences connected, whether it’s marketing, sales, service, HR, and retail stores, provides consistent information across all divisions, solves any confusion, and broadens opportunities.

Evolving Contact Call Center Experience By Using Customer Data

A lot of call center experiences are really bad, especially contacting customer service for a consumer. Every time it’s a waiting game and even after 10 years of being a loyal customer, they don’t know anything about the customer. Consumers are using different sets of channels and devices and different advertisement platforms. As a result, the complexity of knowing the customer multiplies.

On your podcast, Kaz can talk about how he leverages customer data to improve the call center experience. Specifically, why collecting all the information across many divisions and channels, in real-time, provides a connected customer experience across all channels and journeys. As a result, a call center will know exactly who the customer is, and exactly what they’re looking for. Overall, improving the customer experience.

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