Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Amplitude
Yes
Facebook
Yes
Firebase
Yes
Google Analytics
Yes
Heap
Yes
Intercom
Yes
Mixpanel
Yes
Pendo
Yes
Segment
Yes
Snowplow Analytics
Yes
Integrations
Amplitude
No
Facebook
No
Firebase
No
Google Analytics
No
Heap
No
Intercom
No
Mixpanel
No
Pendo
No
Segment
No
Snowplow Analytics
No
Pricing Details
$120 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)
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
No
Live Training (Online)
No
In Person
No
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
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No
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
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Master Data Management
Data Governance
Yes
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
Yes
Process Management
No
Relationship Mapping
Yes
Visualization
No