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- Multidomain MDM SaaS
- MDM SaaS Development
Multidomain MDM SaaS
Unlock the Power of Cloud-Based Data Excellence
This topic will equip you with valuable insights on how to analyze your Informatica usage and measure the effectiveness of your investment. By leveraging data processing analytics, you can:
- Gain a pulse on your organization's health: Monitor key statistics to identify potential issues and troubleshoot job failures before they impact your operations.
- Track key usage metrics: Dive into data on source records, master records, and user activity to understand how your MDM SaaS is being utilized.
- Simplify monitoring with Operational Insights: Access a centralized platform for data processing analytics and monitoring, providing a clear view of your Informatica performance.
Expand your MDM SaaS reach with global capabilities! This topic delves into two essential features:
- Multilingual Business Applications: Craft business applications in multiple languages, effortlessly translating associated asset labels. This empowers you to broaden your audience and deliver localized experiences that resonate with diverse markets.
- Global Settings Management: Learn how licenses that you received are set and validated in MDM SaaS. This section equips you to leverage third-party products like DaaS and optimize your MDM SaaS configuration for international operations.
MDM SaaS offers a set of predefined assets in the Business 360 Console. This section dives deep into all the predefined assets and business entities available, including user interface components, pages, and reports.
After you model your master data, you define the source systems from which you plan to import or ingress data. A source system is an external application or system that provides data to the Business 360 datastore. Examples include Salesforce or Workday.
You can either create custom source systems that cater to your specific needs, or use pre-defined ones for common applications.
In this topic, you'll discover how to associate data quality rules with business entity fields to cleanse, standardize, or validate data values. This can involve removing unwanted punctuation marks or spaces, standardizing date formats, verifying phone numbers, and more. By implementing these rules, you'll significantly improve the quality and consistency of your data.
This on-demand webinar is intended for developers, solution architects, and technical users interested in exploring Data Quality aspects within MDM SaaS products. Learn more about configuring Data Quality rules, validating incoming data against these rules, and exciting features related to Data Quality exception handling.
In this topic, you will learn how to create and configure hierarchy models, add nodes and define relationship attributes, and much more.
Master Reference 360 with these four insightful videos:
- Deep Dive into Workflows: Unravel the intricacies of Reference 360 workflows, including multi-step approvals, detailed user information with associated roles, and more.
- Unlock API Power: Delve into all the newly introduced Reference 360 SaaS APIs and learn how to leverage them through PostMan for enhanced automation.
- Import Code Values with Ease: Gain a clear understanding of how to efficiently import code values into Reference 360 SaaS.
- Crosswalks & Hierarchies Demystified: This video clarifies the concept of crosswalks in Reference 360 and guides you through their creation and use for value mapping. It also provides a practical example of working with hierarchies.
Match & Merge empowers you to achieve data integrity and unlock operational efficiency. Leverage granular rules and flexible models to identify and unify even the most intricate duplicate records. Automate routine tasks, prioritize manual reviews for complex cases, and unlock the full potential of clean, consolidated data.
These best practices guide and detailed documentation empower you to conquer data duplication and unleash the power of clean, reliable data for insightful analytics and better decisions.
Streamline your data cleansing with a configurable match & merge process.The match and merge process configuration together constitutes the match model. Based on the outcome of the match process and the merge configuration, the system either automatically merges duplicates, flags for manual review by data stewards, or leaves the unique records untouched. Discover how to create match models and rules to conquer data inconsistencies and unlock cleaner, more reliable insights.
Survivorship is the process of creating a master record, or the most trusted version of a record, by selecting data from multiple matching source records. This process begins after the matching process has identified candidate duplicates. To create master records based on your preferred criteria, you'll need to run a match and merge job. This job requires configuring survivorship rules, which specify how to choose the most reliable record, and also includes ranking the source systems based on their data quality and trustworthiness.
Explore more about Business Events in MDM SaaS in this video. Get a clear understanding of:
- What Business Events are and how to leverage them.
- The different types of Business Events available.
- Various workflow options and their functionalities.
- How to generate merge tasks using Business Events.
This section empowers you to design and customize your business application's user interface (UI). Build custom pages, integrate predefined elements like icons and buttons, and tailor the UI to your business needs. Key Highlights include:
- Design custom pages: Go beyond templates and build unique layouts with pre-built components like icons and buttons.
- Deliver contextual experiences: Users see relevant pages based on their actions, creating a seamless workflow.
- Control access with roles: Assign specific pages to user roles for enhanced security and data integrity.
- Integrate business data: Associate relevant business entities for direct data access and manipulation within your UI.
- Power up search: Configure search properties and layouts for efficient data retrieval and filtering.
This video delves into established integration patterns between MDM SaaS and Cloud Application Integration (CAI). Explore the full spectrum, from invoking custom CAI workflows to seamlessly connecting on-premise services directly from the MDM SaaS UI. Learn more about CAI usage in MDM SaaS, CAI in human tasks, integrating CAI with MDM SaaS UI, and integrating an On-prem service with MDM SaaS using CAI.
Explore a comprehensive suite of REST APIs designed to interact with MDM SaaS and perform a wide range of tasks. Find detailed documentation for each API, including request parameters, response formats, and examples in this documentation.
In this section, you'll learn how to define the following jobs in Business 360 Console:
- Ingress and Egress: Manage data flow into and out of your system.
- Generate Search Indexes or Match Keys: Optimize data searchability and identification.
- Match and Merge: Combine duplicate data records seamlessly.
- Recover a Failed Job: Restore and complete interrupted tasks.
- Publish Business Events: Share data updates and trigger actions.
- Process Hierarchies: Define and manage data relationships.
This section includes how to define business events triggered by actions on entity records (create, update, delete, merge). These events can ignite workflows within MDM SaaS or publish data to external targets like Cloud Data Integration. Learn how to capture and publish business events and leverage them to automate processes and share valuable data insights. This also includes how to publish payload metadata information too.
This video covers a comprehensive explanation of the Egress Process, different Egress Export Types, Pre-requisites to create an Egress Job, and guidance on monitoring Egress jobs within MDM SaaS. For more information, check the below linked Knowledge Base articles.
This article offers insights into best practices for configuring MDM SaaS to effectively manage customer records. These recommendations are based on real-world experiences and encompass a variety of use cases.
MDM SaaS, a cloud-based master data management platform, empowers you to manage records efficiently. Configuring the match and merge process to identify and resolve duplicate records is essential.
This article shares best practices for match and merge configuration, drawing from real-world experiences across various use cases.