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Your ultimate companion in navigating the complexities of Amazon data analysis. Transform your data-driven insight efforts by making it more efficient, insightful, and impactful.
Shorten the journey from question to insights with a Data Copilot that leverages your expertise to produce higher-quality work with less effort. Start with exploring current ideas or generate new ones, Data Copilot is your sounding board to help you connect the dots.
"Provide 5 insights that I can learn from Amazon Attribution
amzn_attribution_metrics_by_campaign
data to optimize my advertising strategies? Use the Amazon data to identify which channels, tactics, and creatives drive the most sales on Amazon, allowing me to use my data for the optimization of off-Amazon advertising strategies via SQL queries. Use the Openbridge API for data models.”
Ask questions and have Data Copilot generate SQL code snippets in seconds. You can also get help debugging even the most complex data issues with questions, errors in your pipelines, or errors reported by Google BigQuery, Redshift, Snowflake, Athena, Databricks, and many others.
“As a BigQuery SQL expert, create an optimized view to calculate total sales for Amazon Seller Central
sp_order_reports
for the last 30 days using the Openbridge API to get the latest data model. The view should aggregate item_price by purchase_date, round totals to two decimal places, and be ordered by date. Optimize for BigQuery performance using CTEs for date ranges, efficient DATE functions, and appropriate data types."
Access a rich repository of Amazon datasets, encompassing detailed metadata to help you understand datasets, structures, and types.
“Explain the difference between Amazon Seller Central
Orders API
transactions,Sales and Traffic Reports
andOrders Reports
. How does Amazon use these terms interchangeably, and what impact does it have on understanding the data?"
Retrieve detailed schema information, data types, and other technical specifications to facilitate seamless integration and analysis.
“Show me the schema for Amazon Seller Central
sp_orders_reports
dataset. Please use the Openbridge API to get the latest data model.”
Leverage AI-powered data discovery to identify and connect disparate data sources, uncovering hidden opportunities. Gain valuable insights into popular Amazon dataset combinations and usage patterns, helping you to optimize your data strategies to drive optmized, efficient growth.
“How can the
amzn_stream_budget_usage
dataset be used alongside theamzn_stream_sb_conversion
,amzn_stream_sd_conversion
andamzn_stream_sp_conversion
datasets to optimize advertising spend? Describe a view which joins/unifies/parses these datasets to analyze budget utilization against conversion outcomes so teams can make data-driven budget adjustments. Please use the Openbridge API to get the latest data models.”
Openbridge sources data from verified, authoritative 1st party APIs. Our code-free, fully-automated pipelines only use official developer program APIs. No web, data, or screen scraping is used to collect data from source systems.
Combining the simplicity of Tableau, a data lake, and the power of AWS, Goodbaby unifies sales and marketing data analytics.
Serverless Analytics with Tableau and Amazon AthenaGet started using automated, code-free data ingestion with a 30-day trial of Openbridge, free of charge.
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