informatica.com
Data Sheet
Multidomain MDM SaaS
on Google Cloud
Key Benets
Improve customer retention,
loyalty and protability
Optimize supply chain
resiliency, flexibility
and continuity
Increase product
conversion rates, basket
size and protability
Accelerate nancial
consolidation and reporting
Gain greater accuracy
from forecasting, planning
and analysis
Digital Business Requires Multidomain Master
Data Management
Businesses in every industry feel today’s pressure to stay competitive in a
digital-rst world. So, they innovate their products and services. They look
for ways to transform their business models and operations. And they
strive to improve customer experience. Yet the critical data necessary to
improve business outcomes is fragmented. Some of it resides in line-of-
business applications. Other data is stored in analytical data stores on-
premises or in multiple cloud ecosystems.
Master data management helps you ensure the consistency and quality
for multiple domains of master data. This includes customer, product,
supplier, cost centers, locations and more. With multidomain MDM, you
can build a 360-degree view across the business to get insights into how
activities and relationships in different functional areas of the business
impact overall business performance.
To achieve strategic business objectives such as customer experience,
digital commerce, supply chain optimization and nance transformation,
your ability to manage multiple domains of master data is critical.
Building a 360-degree view across your business value chain can help
you improve key metrics such as:
• Revenue Growth. Drive growth by managing customer,
product and channel data to improve marketing analytics
and commerce operations
Cost Optimization. Control costs by managing material, supplier
and purchase order data to improve procurement analytics and
logistics management
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Business Innovation. Adapt to changing market conditions by
managing sales, operations and nance data to improve scenario
analysis and the introduction of new products and services
Key Capabilities
Informatica
®
Intelligent Master Data Management is the only offering
that manages all domains of master data in a single SaaS solution,
supported by the Informatica Intelligent Data Management Cloud (IDMC).
We provide market-leading capabilities built on a modern microservices
architecture and make extensive use of AI to automate and scale the
practice of mastering data. Precongured domain and industry content
and low-/no-code conguration simplify administration and stewardship
tasks, speeding deployment and streamlining ongoing management. AI-
powered automation and modern user interfaces increase productivity
and efciency, and the ability to manage multiple domains ensures long-
term return on investment.
Figure 1. Virtually everything you need to modernize the practice of master data management.
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Connectivity
Connectivity is important for master data discovery, third-party
enrichment, replication across applications, syndication to data pools, and
sharing across cloud, on-premises, mobile, and social processes. With
Multidomain MDM SaaS on the Informatica Intelligent Data Management
Cloud, you can choose from an extensive list of prebuilt connectors or
join hundreds of customers who have congured thousands of custom
connectors using low/no code development to integrate and share your
master data anywhere it’s needed.
Figure 2. Informatica Intelligent MDM SaaS out-of-the-box connector examples.
Featured
Browse All Connectors
Filter By All Lines of Business All Types Search Connectors
BigQuery
Cloud Storage
Spanner
BigTable
Google Sheets
Prebuilt Connectivity
and Scanners
Google Drive
Google Analytics
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Data Discovery, Proling and Cataloging
Google Cloud provides a scalable and secure cloud computing platform
that supports the deployment of the Informatica CLAIRE
®
AI (Articial
Intelligence) engine. This allows you to discover, classify and catalog your
master data assets across on-premises and multiple cloud environments.
This ability to leverage the strengths of Informatica AI-powered data
discovery together with Google Cloud and analytics tools allow you to
manage your data assets and drive business value more effectively.
Figure 3. Discover, prole and catalog master data across the enterprise.
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Data Modeling
Informatica Intelligent Multidomain MDM SaaS on Google Cloud is a true
multidomain solution. It provides prebuilt, extensible and customizable
data models for any type of master data. This includes (but is not limited
to) customer, material, supplier, employee, product, location, asset and
cost centers, along with verticalized variations of those domains. We’ve
also created “Smart Fields.” These Smart Fields leverage the CLAIRE
AI engine and allow you to quickly add and map new data sources for
common data types such as addresses, phone numbers and emails. And
you can easily manage all aspects of data modeling from a single pane of
glass.
Figure 4. Informatica MDM SaaS offers an intuitive low/no code model conguration interface.
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Hierarchies and Graph Relationships
Organizing master data into hierarchies is an essential aspect of
supporting multiple operational and analytical use cases. Informatica
supports virtually all types of hierarchies — balanced, unbalanced, ragged,
recursive and more — allowing you to dene parent-child relationships
between business entities. The CLAIRE AI engine also automates the
creation of a master data knowledge graph. It infers relationships between
master data entities, as well as the relationships between master data and
other types of data such as activity data.
Figure 5. Informatica Intelligent MDM SaaS master data knowledge graph.
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Data Integration, APIs and Synchronization
Once you’ve dened data models, hierarchies and relationships, you’ll
need to onboard data. Informatica Intelligent Multidomain MDM SaaS
on Google Cloud leverages the integration services of the Intelligent
Data Management Cloud™ (IDMC) to support multiple patterns for both
ingress and egress of master data such as bulk, batch, and real-time ETL,
SOAP, EJB and REST APIs, and message queues. This messaging, API
and event-based publishing capabilities help you seamlessly orchestrate
the exchange of master data used in business processes at virtually any
latency across cloud, mobile and on-premises applications.
You can simplify data integration mappings using a canonical staging
model. The “Smart Field Mapping” functionality uses the CLAIRE AI engine
to automate the onboarding of master data by identifying source elds
and mapping them to master data models.
Figure 6. Accelerate master data onboarding with AI-powered “Smart Field Mapping.
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Data Quality and Enrichment
The primary goal of master data management is accurate, complete
and consistent data about the core business entities used to run your
business. Through embedded Cloud Data Quality services, Informatica
Intelligent Multidomain MDM SaaS on Google Cloud supports batch
and real-time modes of proling, parsing, standardization, validation and
enrichment. Additionally, reference data management capabilities let
you embed validation rules and reference data lookups into operational
processes and allow API calls to be made to external data providers like
Dun & Bradstreet and Acxiom.
You can use blended machine learning techniques such as deterministic,
heuristic and probabilistic to automate proling, cleansing and
standardization. The CLAIRE AI engine can also recommend and
associate data quality rules with master data elds and automate
the execution of those rules across all the master data sources in an
enterprise.
Another benet of “Smart Field” capabilities: context aware elds within
the data model. This means the system automatically knows how to
standardize and verify address, phone number and email data. With
Informatica Data as a Service, a simple click of a checkbox allows you to
automatically validate this information against authoritative sources such
as a national postal database.
Figure 7. Informatica Intelligent MDM SaaS “Smart Fields” automate data validation.
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Match, Merge and Survivorship
One unique advantage of MDM is that it allows you to consolidate multiple
records of a domain accurately and precisely into the best version of
the truth. Consistent master data is much easier to maintain once you
have deduplicated and consolidated records in a single golden record.
Informatica uses a combination of declarative rules and AI algorithms
to improve data-matching accuracy. The Intelligent Match feature of the
CLAIRE AI engine allows business subject matter experts to use machine
learning to train the match engine simply by going through a few founds
of matching records. Intelligent Match provides full transparency into the
calculation behind the match score for any given match pair.
Figure 8. Train match algorithms in hours instead of days with the “Intelligent Match” feature.
The patented trust framework denes survivorship rules and calculates
trust scores at the attribute level. This lets you pick the most recent,
correct and trusted source for each eld. For example, CRM is usually
a good source for phone numbers and email addresses, but a shipping
system is usually a better source for address elds. Trust rules are applied
automatically when two records are merged, when you update any source
record and when you unmerge records.
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Process Management and Workow
Embedded Cloud Application Integration services within IDMC provide
a full BPM engine within MDM that implements WS-BPEL 2.0 and
BEPEL4People-compliant process models. These services encompass
event processing, service orchestration and process management. The
product covers all applicable business functions internal to MDM, such
as task management and conditional routing. It also integrates MDM into
large business processes, such as delivering personalize
The product also provides out-of-the-box workflows with the precongured
multi-step approval process, “Save the Draft” functionality within
workflows, and an out-of-the-box dashboard measuring workflow
progress. Prebuilt functions include create and update, as well as domain-
specic workflows. Workflows are easily customized with a user-friendly,
low- / no-code interface.
Figure 9. Integrate master data into larger business processes like order tracking.
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Stewardship and Task Management
A congurable task inbox shows data stewards their list of current tasks
and the status of each task, with drill down to the underlying subtasks.
Data stewards (or a task administrator) can reassign tasks to other
users to complete. Conditional notication and routing capabilities speed
identication and remediation of issues.
Figure 10. Informatica Intelligent MDM SaaS features a congurable task inbox.
The CLAIRE AI engine helps data stewards and business users improve
data quality at the point of entry. When you’re trying to enter records
that are like existing records, a “Similar Records” recommendation panel
slides onto the screen. This helps prevent data duplication and the need
to match and merge records later.
Business Entity Services APIs allow you to embed master data
stewardship into business applications and processes. You can make
REST calls to create, update, delete and search for base object records
and related child records in a business entity. You can also create, update
and delete attachments to tasks and records.
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Data Governance
Informatica Intelligent MDM SaaS on the Google Cloud maintains a
highly governed set of core attributes. These attributes are the basis of a
common denition of master data entities to ensure completeness and
consistency across the enterprise. Master data policies are enforced to
stay compliant with both internal standards and external regulations.
For example, we can execute internal controls for separation of duties
by enforcing a rule that the creator and approver of changes must be
different people. The product keeps a complete audit trail of changes,
including who, what and when. This audit trail includes a timeline
capability to search for, view and compare effective dates.
Figure 11. Easily track and audit changes to master data.
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Data Privacy
Master data may also contain sensitive data about customers, employees
and partners that are subject to a variety of data privacy regulations. As
part of the master data discovery process, the CLAIRE AI engine can
identify and classify personal data, allowing you to associate privacy
policies and map rules for enforcement. You can also master consent —
including where the consent was given, when consent has been revoked,
and what types of data can be used for which purpose — as an attribute of
the master data record, to better understand how you should use the data.
Figure 12. Examples of privacy policies that apply to personal data.
You can use your own policies and user authorizations to set and
enforce access controls and can dynamically mask master data at
query time. Multidomain MDM SaaS on Google Cloud provides real-time
monitoring and protection as part of API-based master data exchange
in business processes. You can audit, record and block sensitive data
leakage in API requests and responses. You can also select the type
of information to protect — such as credit card numbers, personally
identiable information (PII) and tax identication numbers — and set
the level of protection of each information type for requests, responses
or both.
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Security
With increased global connectivity and cyberattacks on the rise, protecting
your master data is critical. That is why we build products with security as
a primary design principle and follow the Informatica Secure Development
Lifecycle to eliminate security defects as we develop products.
We maintain the most stringent cloud security certicates. Data at rest
is encrypted using an AES-128 key, while data in transit use TLS-1.2
or greater protocol. Our cloud security program focuses efforts and
resources across the following areas:
Application security
Identity and access management
Vulnerability management
Security incident response
Training and awareness
Business continuity and disaster recovery
Governance, risk management, and compliance
Informatica Multidomain MDM SaaS on Google Cloud supports cell-level,
role-based security. Roles are highly granular and flexible, which allows
administrators to implement safeguards that align with the security
policies of their organization.
A user account inherits the privileges congured for any role to which the
user account is assigned. Multiple authentication options are available,
including password-based, SSO-based, certicate-based or token based,
and master data can be dynamically masked at query time.
Figure 13. User account management is done centrally for all services.
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Dashboards and Insights
The business user’s experience is critical to the success of master
data management programs. After studying the context in which
different people — such as business users, data stewards, application
administrators, and analytics teams — use master data management
solutions (including their end-to-end interaction processes) we were able
to design intuitive interfaces, guided workflows, and machine learning
recommendations that increase adoption, productivity, and agility.
Congurable, role-based dashboards summarize information and present
an easily digestible view that is contextualized for the person who is
using it. And in addition to ensuring the core master data is correct, you
can enrich it and link it with other information, such as activity data,
to enable drill down for detailed analysis and insights. Alerts highlight
changes, and recommendations from the CLAIRE AI engine help guide
user actions. Additionally, calculated elds, such as churn scores, and
data from non-mastered and other external sources, such as social
media, can be inserted into the dashboards for a comprehensive, single
view of a record.
Figure 14. A modern cloud experience that increases adoption, productivity and agility.
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Data Sharing and Marketplace
Broad and consistent use of master data throughout the organization
improves analytics, operations and decision making. We enable self-
service access to master data through a data marketplace that provides
create and publish, search and shop, and fulll and track capabilities
to help you build a data-driven organization. The CLAIRE AI engine
uses content-based ltering, user ranking and data similarity to make
recommendations about master data to use.
Data usage terms and conditions are applied based on the type of
master data being accessed, to provide guidance to data consumers
regarding how to use sensitive and personal information compliantly
and ethically. Once usage policies have been accepted, users can
automate provisioning (for example, into cloud data lakes for AI projects)
of master data.
Figure 15. Easily nd and access master data through the data marketplace.
Summary
With Multidomain MDM SaaS on Google Cloud, you can experience a
modern and all-in-one MDM solution using a cloud-native microservices
architecture delivered through the Intelligent Data Management Cloud,
user-centric design principles, and AI-powered automation of the
CLAIRE AI engine. Like all technology-enabled business disciplines, the
capabilities required for the practice of master data management are
constantly evolving to address changing business needs. Multidomain
MDM SaaS on Google Cloud provides a solution that can help you meet
these evolving requirements.
Informatica (NYSE: INFA)
brings data to life by
empowering businesses to
realize the transformative
power of their most critical
assets. When properly
unlocked, data becomes a
living and trusted resource
that is democratized across
your organization, turning
chaos into clarity. Through
the Informatica Intelligent
Data Management Cloud™,
companies are breathing
life into their data to drive
bigger ideas, create improved
processes, and reduce costs.
Powered by CLAIRE
®
, our
AI engine, it’s the only cloud
dedicated to managing data of
any type, pattern, complexity,
or workload across any
location — all on a single
platform. Informatica. Where
data comes to life.
IN03-0423-4560
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trademarks of Informatica LLC in the United States and other countries. A current list of Informatica trademarks
is available on the web at https://www.informatica.com/trademarks.html. Other company and product names
may be trade names or trademarks of their respective owners. The information in this documentation is subject
to change without notice and provided AS IS” without warranty of any kind, express or implied.
You’ll benet from features such as:
A modern cloud experience that increases adoption, productivity
and agility. We looked at how different people — such as data
stewards, application administrators, business analysts, and analytics
teams — use master data management solutions (including their end-
to-end interaction processes). The result? Intuitive interfaces, guided
workflows, and machine learning recommendations that will make
it easier for you to discover, curate, and consume master data for
analytical and operational use.
An easy-to-manage solution that speeds deployment and reduces
the cost of ownership. Integrating all the data management
capabilities required for the practice of master data management
— such as data and process integration, API management, data
quality, data modeling, hierarchy and graph relationship management,
workflow and task management, and security — in a single solution
with pre-congured domain and industry content, simplifying
implementation and administration of multidomain master
data management.
A comprehensive solution that accelerates business outcomes.
An ability to manage multiple domains of master data and the
relationships between domains such as customer to product and
product to supplier, as well as connecting master data and other types
of data like transactions and interactions supports a broad range of
digital transformation use cases such as customer experience, digital
commerce, supply chain optimization, and nance transformation.
This ability to scale across functional areas of the business ensures
long-term value.
For More Information
Learn more about Informatica AI-powered Master Data Management on
our solutions page. Discover more about the Informatica and Google
Cloud strategic partnership here.