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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Medium’s sophisticated data infrastructure and reporting systems establish a unified source of truth that aids in decision-making amidst increasing complexities. Our innovative technology for automated data movement is designed to extract, store, and transfer data to your preferred locations. Tailored specifically for omnichannel businesses, our unique data transformation process ensures high reliability. This is precisely why our data is considered the most dependable in the industry. With our pre-built data models, we enhance data reliability by simplifying processes related to data preparation, aggregation, and enrichment. Our platform effectively normalizes, aggregates, and validates your omnichannel data with precision. We possess the capability to resolve inconsistencies, check for missing data entries, supplement important information to datasets, and bring together disparate reports from multiple channels into a cohesive view that enhances overall data integrity. By leveraging these comprehensive features, businesses can navigate their data landscape with greater confidence and insight.

Description

Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Yes 
Amazon Web Services (AWS) Yes 
Chargebee Yes 
Facebook Yes 
Google Ads Yes 
Google Cloud BigQuery Yes 
Google Sheets No 
Loop Subscriptions Yes 
Microsoft Excel No 
Microsoft Power BI No 
Oracle Database Yes 
Qlik Data Integration No 
Shopify Yes 
Snapchat Yes 
Snowflake Yes 
Stripe Yes 
Tableau No 
TikTok Yes 
Toucan No 

Integrations

Amazon No 
Amazon Web Services (AWS) No 
Chargebee No 
Facebook No 
Google Ads No 
Google Cloud BigQuery No 
Google Sheets Yes 
Loop Subscriptions No 
Microsoft Excel Yes 
Microsoft Power BI Yes 
Oracle Database No 
Qlik Data Integration Yes 
Shopify No 
Snapchat No 
Snowflake No 
Stripe No 
Tableau Yes 
TikTok No 
Toucan Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Source Medium

Founded

2020

Country

United States

Website

www.sourcemedium.com

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

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