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What is Stibo Systems STEP?

A clear and open strategy for managing master data is crucial for thriving in the digital marketplace. By adopting such an approach, you can gain precise insights into your customers' needs and timing. Stibo Systems equips you with the necessary tools to meet these demands effectively. It generates a unified, current, and accurate representation of information, which aids in making informed decisions and enhancing customer experiences. Furthermore, this level of transparency fosters trust and improves collaboration within your organization.

What is Profisee?

The Profisee master data management (MDM) platform provides businesses with a rapid, economical, and scalable method for disseminating reliable data across the organization. By utilizing this platform, organizations can handle their enterprise data efficiently, avoiding the challenges, risks, and limitations typically associated with conventional MDM solutions. Additionally, they can maintain superior data quality and harmonize trusted golden records across various databases and systems, thereby establishing a unified data source that enhances decision-making and operational efficiency.

What is Oracle MDM?

To fully understand the principles of master data management (MDM), it is essential to begin with a clear definition of master data and how it differs from MDM itself. Master data constitutes the vital business information that forms the foundation and categorization of the transactional and analytical data present within an organization. Often referred to as "enterprise data" or "metadata," this category of data generally includes application-specific metadata, different business viewpoints, corporate dimensions, reference data, and various master data assets. Examples of such enterprise data encompass the chart of accounts, the structures of organizations or cost centers, market segments, and product categories, among other significant components. Conversely, master data management (MDM) is focused specifically on the management of master data itself. MDM utilizes a collection of applications and technologies aimed at consolidating, cleansing, and refining master data while ensuring it remains synchronized across various applications, business processes, and analytical tools. In essence, MDM serves a vital function in upholding the integrity and uniformity of data throughout an enterprise, which in turn fosters better decision-making processes. Furthermore, the successful implementation of MDM can lead to improved operational efficiency and enhanced data quality, benefiting the organization as a whole.

What is Ataccama ONE?

Ataccama offers a transformative approach to data management, significantly enhancing enterprise value. By integrating Data Governance, Data Quality, and Master Data Management into a single AI-driven framework, it operates seamlessly across both hybrid and cloud settings. This innovative solution empowers businesses and their data teams with unmatched speed and security, all while maintaining trust, security, and governance over their data assets. As a result, organizations can make informed decisions with confidence, ultimately driving better outcomes and fostering growth.

Media

Media

Media

Media

Integrations Supported

Salesforce
Adobe Marketo Engage
Amazon Redshift
Apache Hive
Azure Synapse Analytics
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Google Drive
Hadoop
IBM Db2
MANTA
MariaDB
Microsoft Azure
MongoDB
MySQL
OneStock
PostgreSQL
SQL Server

Integrations Supported

Salesforce
Adobe Marketo Engage
Amazon Redshift
Apache Hive
Azure Synapse Analytics
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Google Drive
Hadoop
IBM Db2
MANTA
MariaDB
Microsoft Azure
MongoDB
MySQL
OneStock
PostgreSQL
SQL Server

Integrations Supported

Salesforce
Adobe Marketo Engage
Amazon Redshift
Apache Hive
Azure Synapse Analytics
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Google Drive
Hadoop
IBM Db2
MANTA
MariaDB
Microsoft Azure
MongoDB
MySQL
OneStock
PostgreSQL
SQL Server

Integrations Supported

Salesforce
Adobe Marketo Engage
Amazon Redshift
Apache Hive
Azure Synapse Analytics
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Google Drive
Hadoop
IBM Db2
MANTA
MariaDB
Microsoft Azure
MongoDB
MySQL
OneStock
PostgreSQL
SQL Server

API Availability

Has API

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Licensing
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

StiboSystems

Date Founded

1795

Company Location

Denmark

Company Website

www.stibosystems.com

Company Facts

Organization Name

Profisee Group

Date Founded

2000

Company Location

United States

Company Website

www.profisee.com

Company Facts

Organization Name

Oracle

Company Website

www.oracle.com/sg/scm/product-lifecycle-management/master-data-management/

Company Facts

Organization Name

Ataccama

Date Founded

2007

Company Location

Toronto, Canada

Company Website

www.ataccama.com

Categories and Features

Digital Asset Management

Asset Categorization
Asset Library
Asset Sharing
Brand Control
Customizable Branding
File Conversion
Metadata Management
Mobile App
Reporting/Analytics
Search Within Document
Search/Filter
Version Control
Watermarking
Workflow Management

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Product Data Management

Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Categories and 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

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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