Average Ratings 1 Rating
Average Ratings 1 Rating
Description
Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization.
Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients.
Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data.
Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.
Description
INGEST. PREPARE. DELIVER. ALL WITH A SINGLE TOOL.
Build a data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data in the fastest, most efficient way possible - all within a single, low-code user interface.
ALL THE DATA INTEGRATION CAPABILITIES YOU NEED IN A SINGLE SOLUTION.
TimeXtender seamlessly overlays and accelerates your data infrastructure, which means you can build an end-to-end data solution in days, not months - no more costly delays or disruptions.
Say goodbye to a pieced-together Frankenstack of disconnected tools and systems. Say hello to a holistic solution for data integration that's optimized for agility.
Unlock the full potential of your data with TimeXtender. Our comprehensive solution enables organizations to build future-proof data infrastructure and streamline data workflows, empowering every member of your team.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Snowflake
Yes
AppsFlyer
Yes
Azure Marketplace
No
Azure Service Fabric
No
Criteo
Yes
DataForce
No
DataMart
No
Google Business Profile
Yes
HubSpot Marketing Hub
Yes
Intercom
Yes
Integrations
Snowflake
Yes
AppsFlyer
No
Azure Marketplace
Yes
Azure Service Fabric
Yes
Criteo
No
DataForce
Yes
DataMart
Yes
Google Business Profile
No
HubSpot Marketing Hub
No
Intercom
No
Pricing Details
Contact Improvado for Pricing
Free Trial
No
Free Version
No
Pricing Details
$1,600/month
TimeXtender's pricing is based on how many instances you use each day. Our consumption-based pricing model means there is no subscription fee, no user fees, and no fees to "unlock" individual features. You only pay for what you actually use, and not a dollar more.
Free Trial
No
Free Version
Yes
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
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Improvado
Founded
2015
Country
United States
Website
improvado.io
Vendor Details
Company Name
TimeXtender
Founded
2006
Country
United States, Denmark
Website
www.timextender.com
Product Features
Big Data
Collaboration
No
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
Yes
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
Yes
Continuous Deployment
Yes
Debugging
Yes
Permission Management
No
Quality Assurance Management
No
Testing Management
No
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
Yes
Text Analytics
Yes
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
Yes
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
Data Preparation
Collaboration Tools
Yes
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
Yes
Machine Learning
No
Visual User Interface
No
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Data Warehouse
Ad hoc Query
No
Analytics
Yes
Data Integration
Yes
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
No
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
No
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
No
Version Control
No
Integration
Dashboard
Yes
ETL - Extract / Transform / Load
Yes
Metadata Management
Yes
Multiple Data Sources
Yes
Web Services
Yes
Marketing Analytics
A/B Testing
No
Campaign Management
No
Channel Attribution
Yes
Customer Journey Mapping
Yes
Dashboard
Yes
Performance Metrics
Yes
Predictive Analytics
Yes
ROI Tracking
Yes
Social Media Metrics
Yes
Website Analytics
Yes
Marketing Automation
A/B Testing
No
Analytics / ROI Tracking
Yes
Artificial Intelligence
No
Content / Blogging Platform
No
Customizable CTAs
No
Drip Campaigns
No
Dynamic Content
No
Landing Pages / Web Forms
No
Lead Scoring
No
Sales Intelligence
No
Search Marketing
Yes
Segmentation
No
Social Marketing
No
Website Visitor Tracking
No
Social Media Management
Automated Publishing
No
Brand Tracking
No
Content Management
No
Customer Engagement
No
Multi-Account Management
Yes
Multi-User Collaboration
No
Post Scheduling
No
Reporting/Analytics
Yes
Social Media Monitoring
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
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
No
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
No
Version Control
Yes
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No