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Description
Eliminate inefficiencies, unnecessary expenses, and flawed decision-making caused by unreliable data with Iteratively. Our tracking plans align your entire organization around customer data, ensuring everyone is informed. Quickly set up analytics through code snippets and automated quality assurance, so you can bypass tedious data manipulation and obtain precise analytics from the outset. Establish a unified taxonomy and a singular source of truth for event definitions to maintain clarity. Say goodbye to the time-consuming process of data cleanup and guarantee that your analytics are recorded accurately from the beginning. With automated reports and alerts in place, you can prevent analytics issues before they arise, eliminating the need for manual quality checks. Safeguard your sensitive information by reviewing tracking modifications and implementing pre-configured rules to mitigate PII leaks to your analytics providers. We do not store, process, or access your data, ensuring your privacy remains intact. Compatible with both third-party and custom data pipelines, Iteratively keeps your tracking plan current across your organization. Standardize naming conventions with a company-wide taxonomy, allowing you to finally relax knowing that your analytics tracking is reliable and will not fail when you need it most. Your team can focus on insights rather than worrying about data integrity and accuracy.
Description
Utilizing graph analytics throughout the customer lifecycle can help uncover hidden risks and unveil unexpected opportunities. Conventional Master Data Management (MDM) solutions struggle to accommodate the vast amounts of distributed and diverse data generated from various applications and external sources. The traditional methods of probabilistic matching in MDM are ineffective when dealing with siloed data sources, leading to missed connections and a lack of context, ultimately resulting in poor decision-making and uncapitalized business value. An inadequate MDM solution can have widespread repercussions, negatively impacting both the customer experience and operational efficiency. When there's no immediate access to comprehensive payment patterns, trends, and risks, your team’s ability to make informed decisions swiftly is compromised, compliance expenses increase, and expanding coverage becomes a challenge. If your data remains unintegrated, it creates fragmented customer experiences across different channels, business sectors, and regions. Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management. This lack of a unified data strategy not only hampers customer satisfaction but also stifles business growth opportunities.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Amplitude
Apache Spark
Azure Marketplace
Facebook
Firebase
Google Analytics
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Integrations
Amazon Web Services (AWS)
Amplitude
Apache Spark
Azure Marketplace
Facebook
Firebase
Google Analytics
Google Cloud Anti Money Laundering AI
Google Cloud Platform
Hadoop
Pricing Details
$120 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Iteratively
Founded
2019
Country
United States
Website
iterative.ly/
Vendor Details
Company Name
Quantexa
Founded
2016
Country
United Kingdom
Website
www.quantexa.com
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization