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Average Ratings 1 Rating
Description
What is the Melissa Clean Suite?
Melissa's Clean Suite (previously Melissa Listware), combats dirty data in your Salesforce®, Microsoft DynamicsCRM®, Oracle CRM® and ERP platforms. It verifies, standardizes, corrects, and appends your customer contact records. Clean, vibrant, and valuable data that you can use to achieve squeaky-clean omnichannel marketing success and sales success.
* Correct, verify, and autocomplete contacts before they enter the CRM
* Add valuable demographic data to improve lead scoring, segmentation, targeting, and targeting
* Keep contact information current and clean for better sales follow-up and marketing initiatives
*Protect your customer data quality with real-time, point-of-entry data cleansing or batch processing Data drives every aspect customer communication, decision making and analytics. Dirty data, which can be incorrect, stale or incomplete data, can lead to inefficient operations and an inaccurate view of customers.
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
Amazon Web Services (AWS)
No
Azure Service Fabric
No
DataForce
No
DataMart
No
Inte Q Genesis
Yes
Kinective Migrate
No
Micropole
No
Microsoft 365
No
Microsoft Dynamics 365
Yes
Microsoft Fabric
No
Integrations
Amazon Web Services (AWS)
Yes
Azure Service Fabric
Yes
DataForce
Yes
DataMart
Yes
Inte Q Genesis
No
Kinective Migrate
Yes
Micropole
Yes
Microsoft 365
Yes
Microsoft Dynamics 365
No
Microsoft Fabric
Yes
Pricing Details
No price information available.
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Melissa
Founded
1985
Country
United States
Website
melissa.com
Vendor Details
Company Name
TimeXtender
Founded
2006
Country
United States, Denmark
Website
www.timextender.com
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
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