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What is Electrik.Ai?

Seamlessly transfer your marketing data into any data warehouse or cloud storage solution of your choice, such as BigQuery, Snowflake, Redshift, Azure SQL, AWS S3, Azure Data Lake, and Google Cloud Storage, using our cloud-hosted and fully-managed ETL pipelines. Our all-encompassing marketing data warehouse integrates all aspects of your marketing data, yielding critical insights into areas like advertising effectiveness, cross-channel attribution, content performance, competitor analysis, and much more. Furthermore, our customer data platform enables real-time identity resolution across multiple data sources, creating a unified view of the customer and their overall journey. Electrik.AI operates as a cloud-based marketing analytics tool and a comprehensive service platform focused on enhancing your marketing initiatives. In addition, Electrik.AI’s Google Analytics Hit Data Extractor is designed to enhance and retrieve the un-sampled hit-level data sent to Google Analytics from your website or application, consistently transferring it to your designated database, data warehouse, or data lake for advanced analysis. This approach guarantees that you have access to the most precise and actionable data, allowing you to effectively shape and drive your marketing strategies. By leveraging these innovative tools, businesses can significantly improve their decision-making processes and overall marketing performance.

What is Dimodelo?

Focus on crafting meaningful and influential reports and analytics instead of getting overwhelmed by the intricacies of data warehouse coding. It's essential to prevent your data warehouse from devolving into a disorganized collection of numerous challenging pipelines, notebooks, stored procedures, tables, and views. Dimodelo DW Studio significantly reduces the effort required for the design, construction, deployment, and management of a data warehouse. It supports the creation and implementation of a data warehouse tailored for Azure Synapse Analytics. By establishing a best practice architecture that integrates Azure Data Lake, Polybase, and Azure Synapse Analytics, Dimodelo Data Warehouse Studio guarantees the provision of a high-performing and modern cloud data warehouse. Additionally, the use of parallel bulk loads and in-memory tables further enhances the efficiency of Dimodelo Data Warehouse Studio, allowing teams to prioritize extracting valuable insights over handling maintenance tasks. This shift not only streamlines operations but also empowers organizations to make data-driven decisions with greater agility.

Media

Media

Integrations Supported

Azure Data Lake
Azure SQL Database
Azure Synapse Analytics
Adobe Analytics
Azure DevOps
Google Ads
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
Google Drive
LinkedIn
Meta Ads
Microsoft 365
Microsoft Azure
Microsoft Power BI
Pinterest
SendGrid
Shopify
Stripe
Yandex

Integrations Supported

Azure Data Lake
Azure SQL Database
Azure Synapse Analytics
Adobe Analytics
Azure DevOps
Google Ads
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
Google Drive
LinkedIn
Meta Ads
Microsoft 365
Microsoft Azure
Microsoft Power BI
Pinterest
SendGrid
Shopify
Stripe
Yandex

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Trial Offered?
Free Version

Pricing Information

$899 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Electrik.Ai

Company Location

United States

Company Website

electrik.ai/

Company Facts

Organization Name

Dimodelo

Company Location

Australia

Company Website

www.dimodelo.com

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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