enterprise data management
Try out the Fivetran dbt™ package for SAP
Use Fivetran’s dbt package to recreate your SAP extractor models and better understand your performance.
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Davey Resource Group’s strategic use of real-time analytics
Explore how Davey Resource Group handles massive utility projects and improves safety with real-time data analysis.
Unifying manufacturing data with Fivetran and Databricks
Learn why SAP data is the critical ingredient for manufacturing organizations to move from reactive to predictive analytics.
How to replicate and analyze SAP ERP data with Fivetran
The breadth of SAP data enables enterprises to gain a complete picture of their operations and transactions but only when it is unlocked.
ERP data, financial efficiency and the current state of enterprise data strategy
Fivetran CEO George Fraser and Snowflake CEO Frank Slootman sat with Data Cloud Now to discuss what they’re hearing from customers in their joint interview
Four data infrastructure trends to look out for in 2023
Learn how these trends highlight the growing importance and adoption of cloud-based solutions for businesses of all sizes.
Enterprise data warehouses: Definition and guide
An enterprise data warehouse is critical to the long-term viability of your business.
Data challenges: From mainframes to the modern data stack
The sheer quantity and diversity of data sources make today’s landscape strikingly different — which requires a new set of tools.
How to manage data integration with hybrid cloud
Bi-directional data movement and low latency are key to effectively integrating data between on-prem and cloud for real-time analysis.
Why the modern retailer needs a modern data stack
A modern data stack, built on Fivetran and Google BigQuery, is fundamental to gaining the data visibility retailers need to deliver seamless personalized omnichannel experiences.
New research: The high cost of stale ERP data
Global research reveals that 77% of enterprises lack real-time access to ERP data, leading to poor business outcomes and lost revenue.
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