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Resources for Analytics Teams
Advice, insights and information from our community of data experts.
Real-world success stories illustrate the benefits of a modern data stack, from lower engineering costs to greater data literacy.
A cloud-native data stack frees up Clari’s one-man analytics team to drive data innovation and revenue.
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Harnessing data to drive business decisions is a key competitive advantage. For next-level analytics, follow these three principles.
A cloud-native data stack equips a construction company with better business intelligence to guide planning and decision-making.
Find out how automated data integration makes it easy to centralize all your marketing data and improve analytics outcomes, no matter how many sources you have or how fast you grow.
GigaOm compares data integration vendors Fivetran, Stitch and Matillion
This benchmark report compares the speed and cost of five of the most popular data warehouses: Amazon Redshift, Snowflake, Google BigQuery, and Presto.
Learn how data integration allows your organization to maintain all of its data in a single environment, so your team has a comprehensive view of business operations and customer interactions.
Hear from Fivetran's Co-Founders, George Fraser & Taylor Brown, on the impact of the modern data stack for analytic teams and how it is becoming as simple and reliable as electricity.
With Fivetran handling ELT, the company's engineers can focus on data science and machine learning projects.
With Fivetran, Snowflake and dbt, Autodesk Construction Services builds a uniform data architecture for its many acquisitions.
Intercom uses Fivetran to centralize Zuora data into Redshift and join it with product, marketing, sales and other data for reports and dashboards.
With a modern data stack, Ziff Davis centralizes Google Analytics 360 and ad data to gain insights into paid search performance.
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With a modern data stack, Branch Insurance joins data from its transactional database and apps to visualize acquisition cost and lifetime value in real time.