Resources

Dive deep into the world of data innovation. Explore forward-thinking perspectives from our data, healthcare, and financial services experts.
Resource Type
Hakkoda - Postoperative Outcomes - Thumbnail
Case Studies
April 4, 2024
Learn how a large medical technology company leveraged Snowflake and dbt to enable flat reporting of outcome-critical patient metrics while...
Case Studies
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Case Studies
March 15, 2024
Learn how a large used vehicle retailer achieved huge efficiency gains for its Snowflake migration while prioritizing mission-critical data.
Case Studies
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Case Studies
February 27, 2024
Learn how Century Distribution Systems cut daily load times from 22 to 3 hours, improved delivery speeds to over 200...
Case Studies
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Case Studies
February 20, 2024
Learn how a single family real estate asset manager cut systems sprawl by 25% and consolidated business intelligence in Snowflake...
Case Studies
Case Studies
January 26, 2024
Learn how a large regional bank broke down data silos and accelerated its data governance program with the development of...
Case Studies
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Case Studies
January 12, 2024
Learn how VGS Built a Streamlit App to Perform Tokenization in Snowflake by leveraging Hakkoda's expert data monetization teams.
Case Studies
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Case Studies
October 25, 2023
Hakkoda offered a series of data solutions to a concierge medical services start-up, accelerating the development of their machine learning...
Case Studies
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Case Studies
August 1, 2023
Discover how a large healthcare organization migrated over 2 petabytes of data from Teradata to Snowflake while slashing costs by...
Case Studies
Hakkoda - CoreLogic - CoreLogic Monetizes Their Data with Snowflake Native Apps
Case Studies
May 30, 2023
CoreLogic partnered with Hakkoda to make the leap to Snowflake and uplift their ability to scale and process their current...
Case Studies
REPORT

State of Data Report 2024

In Hakkoda’s State of Data 2024 report, we surveyed 500 data leaders from large organizations across eight major industries to categorize participants into four unique stages of data maturity, identify key focuses and themes for the years ahead, and pinpoint investment opportunities for businesses at every stage of the data innovation journey.

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