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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
To grasp the concept of master data management (MDM) thoroughly, we must start by defining master data while distinguishing it from master data management itself. Master data refers to the essential business information that underpins and categorizes the transactional and analytical data within an organization. This type of data is sometimes called “enterprise data” or “metadata” and typically encompasses application-specific metadata, various business perspectives, corporate dimensions, reference data, and master data assets. Instances of such enterprise data can include the chart of accounts, organizational or cost-center structures, market segments, product categories, and additional elements. On the other hand, master data management (MDM) performs the role indicated by its name—specifically managing master data. MDM integrates a suite of applications and technologies designed to consolidate, cleanse, and enhance master data while ensuring its synchronization with various applications, business processes, and analytical tools. Overall, MDM plays a crucial role in maintaining the integrity and consistency of data across an enterprise, ultimately driving more informed decision-making.
API Access
Has API
API Access
Has API
Integrations
Amplitude
Facebook
Firebase
Google Analytics
Heap
Intercom
Mixpanel
Pendo
Segment
Snowplow Analytics
Integrations
Amplitude
Facebook
Firebase
Google Analytics
Heap
Intercom
Mixpanel
Pendo
Segment
Snowplow Analytics
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
Oracle
Website
www.oracle.com/sg/scm/product-lifecycle-management/master-data-management/
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
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization