Hakkoda’s unique scalable teams model, deep Snowflake expertise, and customer innovation center in Costa Rica draws investment from Tercera and attention from customers
Hakkoda, the cloud data experts specializing in Snowflake, today announced it has received $5.6 million in funding to help companies extend the value of their Snowflake Data Cloud. The financing was led by Tercera, a growth-focused investment and advisory firm specializing in cloud professional services, with participation from several individual investors. The funds will be used to increase Hakkoda’s presence in North America and Costa Rica, to expand its team of data engineers in Latin America, and to build vertical-specific solutions on the Snowflake platform.
Hakkoda is led by a seasoned team who has built and scaled global services organizations at companies like Appirio, Deloitte, KPMG and McKinsey. The company has a unique approach to services, with a scalable teams model that enables customers to acquire services and talent the same way they use cloud technology.
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“Everyone wants a unicorn on their team, but with Hakkoda you get a unicorn team, one that offers a blended set of skills that scales and adapts to your needs,” said Erik Duffield, CEO and co-founder of Hakkoda. “We started Hakkoda to provide the teams and technology customers need to get their data house in order, modernize their architecture, and drive real innovation and revenue back into the business with platforms like Snowflake.”
“Snowflake has become a key part of the third-wave enterprise IT stack, presenting a huge opportunity for a pure-play like Hakkoda to tackle the needs of large enterprises in a different way than the global systems integrators,” said Chris Barbin, CEO of Tercera. “The traction this team has seen in such a short period of time is a testament to Hakkoda’s leadership, creativity and knowledge of the space.”
Companies are spending billions on data and analytics each year but most still struggle with putting their data to work. A new research study released today from Hakkoda shows that data sprawl and talent scarcity have become significant barriers to innovation, with 98% of respondents reporting cost inefficiencies in their data programs and 94% reporting barriers to innovation. Ninety-seven percent of respondents had difficulty finding resources and talent for their data programs.
To tap into a growing source of data engineering talent, Hakkoda is building its flagship delivery center and customer innovation center in San José, Costa Rica and expects to hire 300 employees for that location. It is partnering with the Costa Rican government and organizations such as Rocket Girls to find, train and inspire the next generation of data talent.
Hakkoda’s services were designed from the ground up to deliver faster results to customers. Its subscription-based scalable teams model offers customers on-demand access to experts specializing in data migration, architecture, analytics, engineering, machine learning, governance and application development, to be applied in areas where skills are most needed.
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Hakkoda’s new Snowflake Concierge service offers customers onboarding, governance, enablement and training to get teams to value faster and to drive long-term customer success. Through partnerships with Alation, DataRobot, Fivetran, and Unqork, Hakkoda can also help companies create high-quality, secure, no-code enterprise apps that put data to work. Hakkoda clients can earn Innovation Credits, which are acquired during a current project and applied to a future project to experiment and test unconventional ideas at no cost.
US Foods, one of America’s largest food companies serving 300,000 restaurants and food service operators, is a long-time Snowflake customer and a recent Hakkoda customer.
“Snowflake is an incredibly powerful tool for tracking performance and anticipating future demand, but extracting the full value requires a different approach than legacy tech,” said Chuck Sample, Vice President of Analytics and Data Science at US Foods. “Hakkoda’s unique delivery model and deep expertise in data engineering allowed us to get value from the relationship in a matter of days. They’re helping us use Snowflake in the way it was intended.”
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