We’re excited to announce the release of Data Preview as part of our Data Explorer! This new feature gives you more control and insights into your extracted data.
Key Highlights:
We have added 2 new data sources with the following report types:
Gorgias
Sam's Club
Google Ad Manager
We have upgraded our Google Ad Manager API to v202408.
This change affects the following data sources:
For more information, see Google Ad Manager API documentation.
The following report types are available starting this month:
Adjust API
Amazon Advertising
Amazon Advertising DSP
Facebook Ads
Illumin
LinkedIn Organic
Hubspot
Oracle NetSuite
Check Improvado Data Dictionary to see detailed information about these and other report types and their metrics.
Meta Loader indexes data for AI functionality.
We made big improvements toward the speed:
Each of the new templates also supports the visualization.
Now you can turn the visualization by clicking a single button.
We’ve revamped the settings experience to make it easier than ever to manage your account and team.
Simply click the ⚙️ gear icon to open the new side panel, where you’ll find:
MANAGE Section🛠️
PROFILE Section 👤
We hope this streamlined side panel makes interactions with our user interface smoother and more intuitive!
We have added 6 new data sources with the following report types:
Yotpo
VTiger
Birdeye
Apple App Store
Nextdoor Ads
WhatConverts
Google Display & Video 360
We have upgraded our Google Display & Video 360 API to v3. For more information, see Google Display & Video 360 API documentation.
The following report types are available starting this month:
ActiveCampaigns
Amazon Advertising
Amazon Advertising DSP
DoubleVerify
Facebook Ads
Google Ads
Google Display & Video 360
Hubspot
Instagram Organic
Taboola
Zendesk
Check Improvado Data Dictionary to see detailed information about these and other report types and their metrics.
Data Preview allows you to hide or show columns, group data based on selected dimensions and metrics, and apply filters to explore your data in convenient way.
We have updated the recipe templates tab, making it even easier to create new recipes using our new self-serve data transformation flow.
🔥 We are thrilled to announce a new Flat Data integration - Amazon Athena!
✅ Key Features:
Additionally, we’d like to highlight two other existing Flat Data sources that provide seamless integration:
Now you can apply Pause/Unpause, Run actions to any selected orders on the current page. Before, only Transfer & Edit were available for bulk selection.
Also, Run (prev. Run Extraction) now supports multiple orders!
Currently, available only for Extraction orders on Connection Details pages & Data table pages.
The sharing feature provides a flexible way to control access to your notebooks, allowing both global and individual user permissions.
We're excited to introduce new user roles, allowing you to assign and manage access within your team based on specific job responsibilities. This update ensures tailored permissions, providing the right level of access while maintaining data security and operational control.
We’re introducing Data source labels to help you quickly identify new, deprecated, or soon-to-be-sunset data sources. These labels can be found on the Data Sources page and Connection Details pages, as well as on our Integrations website page.
We have added one new data source with the following report type:
Samsung DSP
Apple Search Ads
We have upgraded our Apple Search Ads API to v5. For more information, see Apple Search Ads API documentation.
We have upgraded our Facebook API to v19. For more information, see Facebook API documentation.
This change affects the following data sources:
Amazon Ad Server
Please note that Amazon Ad Server will be sunset in Q4 2024. For more information, see Amazon Ad Server API documentation.
On October 1, 2024, the ability to create new campaigns, placements, and tag managers will be disabled.
The following report types are available starting this month:
Amazon Advertising
Mountain
Hubspot
The Trade Desk API
SEMrush
Skai API (Kenshoo V3 API)
Check Improvado Data Dictionary to see detailed information about these and other report types and their metrics.
We are thrilled to announce a new destination - Azure Data Lake!
This parameter specifies how often a rule will be executed to check for any violations that trigger notifications.
We expanded number of options to monthly and quarterly timelines.
Explore how you can simplify data modeling with an intuitive, step-by-step flow that enhances self-service, streamlines recipe management, and automates model updates.
✅ Key Features:
Every step is powered by AI, enabling a seamless user experience.
We have added 2 new data sources with the following report types:
We have upgraded our IQM API to v3.
For more information, see IQM API documentation.
The following report types are available starting this month:
Check Improvado Data Dictionary to see detailed information about these and other report types and their metrics.
We have added 1 new data source with the following report types:
The following report types are available starting this month:
Check Improvado Data Dictionary to see detailed information about these and other report types and their metrics.
We have added 4 new data sources with the following report types:
We have upgraded our Google Ads API to v16. For more information, see Google Ads API documentation.
We have upgraded our Google Ad Manager API to v202402. For more information, see Google Ad Manager API documentation.
We have upgraded our LinkedIn API to v202404. For more information, see LinkedIn API documentation.
We have upgraded our Criteo API to v2024-01. For more information, see Criteo API documentation.
Check Improvado Data Dictionary to see detailed information about these and other report types and their metrics.
This feature empowers you to effortlessly build and refine your data models, ensuring that the AI works precisely according to your specifications. Whether you need to adjust naming conventions, handle paid search data, or manage cross-channel data, our AI Agent simplifies the process.
We are excited to introduce AI Notebook Scheduling, a powerful new feature designed to automate recurring tasks like data analysis, model training, and report generation.With AI Notebook Scheduling, you can automate the execution of your AI notebooks according to a predefined schedule. Configure your notebooks to run automatically at specific times or at regular intervals, saving you time and reducing the need for manual intervention.
The Mapping feature allows you to create fully customized mappings across different data sources using a simple, no-code interface. This feature not only simplifies the integration process but also enables you to manipulate data by adding calculated fields, applying filters, and using mathematical operations and conditional logic to transform raw data into insightful metrics.