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Description
Transforming data and analyzing marketing for enterprises enhances trust in marketing investments and boosts returns on ad spend. Poorly organized data can jeopardize marketing decisions, so it's essential to extract, transform, and load your information to execute marketing initiatives with assurance. Utilize anaticsTM to unify and centralize your marketing data effectively. By loading, normalizing, and transforming your data in insightful ways, you can analyze and monitor your metrics to improve marketing performance. Gather, prepare, and scrutinize all your marketing data with ease, eliminating the hassle of manual extraction from various platforms. Experience fully automated data integration from over 400 sources, allowing you to export information to your preferred destinations seamlessly. Securely store your raw data in the cloud for easy access whenever needed, and support your marketing strategies with solid data. Redirect your focus towards actionable growth instead of the tedious process of downloading multiple spreadsheets and CSV files, ensuring that your resources are utilized efficiently for maximum impact. This approach not only streamlines your workflow but also empowers your marketing efforts with timely and accurate data insights.
Description
Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Apple iOS
Yes
Bing
Yes
Expedia
Yes
Facebook Ads
Yes
Google Ads
Yes
Google Analytics
Yes
Google Business Profile
Yes
Instagram
Yes
LinkedIn
Yes
Integrations
Amazon Web Services (AWS)
No
Apple iOS
No
Bing
No
Expedia
No
Facebook Ads
No
Google Ads
No
Google Analytics
No
Google Business Profile
No
Instagram
No
LinkedIn
No
Pricing Details
$500 per month
Free Trial
Yes
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Anatics
Country
United States
Website
anatics.com
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/solutions/implementations/data-lake-solution/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Yes
Campaign Management
Yes
Customer Profiles
No
Customer Segmentation
No
Data Integration
Yes
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
Yes
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
Yes
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
Yes
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
Yes
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
Yes
Data Management
Customer Data
No
Data Analysis
No
Data Capture
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
Yes
Match & Merge
No
Data Management Platforms (DMP)
Ad Network Integration
Yes
Analytics / ROI Tracking
Yes
Audience Targeting
Yes
Behavioral Analytics
Yes
CRM
No
Campaign Management
Yes
Competitive Analysis
No
Customer Journey Mapping
No
Data Capture / Transfer
Yes
Data Classification
No
Data Visualization
Yes
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
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
