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What is Datumize Data Collector?
Data is the cornerstone of all digital transformation initiatives. Many projects face hurdles stemming from the false belief that data quality and availability are inherently assured. However, the reality is that sourcing relevant data can often be a difficult, expensive, and disruptive endeavor. The Datumize Data Collector (DDC) acts as an adaptable and lightweight middleware solution, engineered to extract data from complex, often fleeting, and legacy data sources. This type of data tends to remain underutilized due to a lack of accessible retrieval methods. By empowering organizations to collect data from diverse sources, DDC enhances comprehensive edge computing capabilities and allows for the integration of third-party applications, including AI models, while effortlessly formatting and storing the output as needed. Overall, DDC offers a pragmatic strategy for companies aiming to optimize their digital transformation processes through the effective collection of vital operational and business data. Its ability to connect intricate data landscapes with actionable insights not only assists organizations in making informed decisions but also solidifies its role as an essential asset in today’s increasingly data-centric environment.
What is Anatics?
Effectively transforming data and performing marketing analysis is vital for building confidence in marketing investments and enhancing returns on advertising spending. When unstructured data is poorly managed, it can undermine marketing decisions, making it imperative to efficiently extract, transform, and load your data to carry out marketing initiatives with certainty. Utilizing anaticsTM allows you to unify and centralize your marketing data for easier access and management. By loading, normalizing, and transforming your data meaningfully, you enable thorough analysis and performance tracking. Collecting, preparing, and analyzing all of your marketing information becomes a breeze, freeing you from the monotonous task of manually pulling data from multiple platforms. With automated data integration from over 400 sources, exporting your data to preferred locations becomes seamless. Storing your raw data in the cloud guarantees that you can retrieve it whenever necessary while strengthening your marketing strategies with dependable information. Focus on driving actionable growth instead of navigating the cumbersome process of managing countless spreadsheets and CSV files, which allows for a more effective resource allocation. By adopting this innovative approach to managing marketing data, you not only streamline processes but also create an environment where your business can truly flourish and adapt to changing market dynamics.
Integrations Supported
Amazon Web Services (AWS)
Apple iOS
Bing
Expedia
Facebook Ads
Google Ads
Google Analytics
Google Business Profile
Instagram
LinkedIn
Integrations Supported
Amazon Web Services (AWS)
Apple iOS
Bing
Expedia
Facebook Ads
Google Ads
Google Analytics
Google Business Profile
Instagram
LinkedIn
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$500 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
Datumize
Date Founded
2014
Company Location
Spain
Company Website
www.datumize.com
Company Facts
Organization Name
Anatics
Company Location
United States
Company Website
anatics.com
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Categories and Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Management Platforms (DMP)
Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization