SQL: identify late orders

Have a constantly updated list of late orders and collaborate with your team to fix these issues.

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MySQL
Google Analytics
PostgreSQL
Microsoft Server SQL
Amazon Redshift
Google BigQuery
Snowflake
Salesforce
Intercom
HubSpot
Stripe
Pipedrive
Airtable
SQL
The Process

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The Advantages

Key Benefits

Eliminate the need for expensive third-party connectors and laborious copy-pasting.

Seamlessly import, organize, filter, and manipulate your SQL data. Analyze it alongside data from other sources, and build custom SQL dashboards and reports.

View and organize your SQL data within a familiar spreadsheet interface.

Use the spreadsheet formulas and functions you already know and love — including calculated columns, lookup functions, and aggregation formulas. Plus, Actiondesk offers additional, more powerful features that help maximize your business intelligence.

Feel confident in knowing that your data is always accurate and up-to-date.

Thanks to real-time cloud-based updates, any changes to your data made from within SQL are automatically reflected in your Actiondesk spreadsheet.

Save time to analyze your data and make better decisions for your business
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Our Use Cases

SQL: list your customers and key metrics

Easily visualize your customers in Actiondesk, filter them and calculate key metrics.

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SQL: count the number of daily active users

Calculate the number of daily active users (DAU) on any specific day.

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SQL: build a flexible sales report

Build a flexible dashboard with your number of sales and revenue per month and country (or any other relevant dimension).‍

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SQL: identify late orders

Have a constantly updated list of late orders and collaborate with your team to fix these issues.

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SQL: track the usage of a new feature

Track the usage of a new feature after it was released.

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SQL: get a bird's-eye view of a customer's usage of your product

Get a breakdown of your customer's activity on your product.

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SQL: list, explore and filter any SQL database data without SQL knowledge

Let your teams access your raw SQL data with an interface they already know and like. No SQL needed.

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