Introduction to Informatica MDM Training
Informatica Master Data Management is a single authoritative wave of business critical data that you can rely on. It removes disparate, duplicated and conflicting information you have in your organization.
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Prerequisites of Informatica MDM Training
Should have basic knowledge in
Database and Database modelling
ETL, SQL and Data warehousing concepts
Course Outline of Informatica MDM Training
Course Name: Informatica Master Data Management (MDM) Training
Mode of Training: We provide Online, Corporate, Classroom Training. We provide Virtual Job Support as well.
Duration of Course: 35 Hours (Can be customized as per the requirement)
Trainer Experience: 20+ years
Timings: According to one’s feasibility
Batch Type: Regular, Weekends and Fast track
Do you provide materials: Yes, if you register with Ides Trainings, we will provide you with the Informatica MDM training materials
Course Fee: After registering on our website, one of our coordinators will contact you for further details
Online Mode: WEBEX, GoToMeeting or SKYPE
Basic Requirement: Good Internet Speed, Headset
Course Details of Informatica MDM Training
Module 1-Introduction to Informatica MDM Hub
1.1 Master Data
1.2 Master Data Management
1.4 Application Server Tier
1.5 Database Server Tier
1.6 Components of MDM Hub
1.7 Batch Data Process Flow
1.8 Trust Framework
Module 2-Define the Data model
2.1 Data Model Elements
2.2 Data Model
2.4 Relationship Types
2.6 Shadow Foreign Keys
Module 3-Configure the Stage process
3.1 Mappings (Basic and Complex)
3.2 Cleansing and Transforming Data
3.3 Execution Component
3.4 Testing Mappings
3.5 Reusable Cleanse Components
3.6 Delta Detection & Audit Trail
3.8 Cleanse Match Servers
Module 4-Configure the Load process
4.2 Validation Rule
4.3 Consolidation Process
4.4 Cell Level Update
4.5 Allow NULL Update
4.6 Allow NULL Foreign Key
4.7 How the Load works
4.8 Survivorship and Order of Precedence
Module 5-Configure the Match & Merge process
5.1 Match & Merge Overview
5.2 Key Activities for Configuring Rules
5.3 Match/Search Strategy for Base Object
5.5 Match Path, Columns and Match Key
5.6 Match Rules and Rule Sets
5.7 Primary Key Match Rules
5.8 Match Rules using Primary Key Match
5.9 Match Keys Distribution
5.10 Merge Settings
5.11 Match/Merge Properties: Merge Style Base Object
5.12 External Match
5.13 Match Server Architecture
5.14 Match Subtype
5.15 Segment Matching
5.16 NULL Matching
5.17 Non-Equal Matching
Module 6-Configure data access views
6.1 Queries & Packages Overview
6.4 Data Stewardship
6.5 Job Status & Job Statistics
6.6 Recap: Consolidation Flags
6.7 Merge Manager
6.8 Data Manager
6.9 Un merge and Tree Un merge
Module 7-Security Access Manager (SAM)
7.1 Users, Resources, Privileges & Roles
7.3 Resource Groups
Module 8-Log files
8.1 Enterprise Manager
8.2 Hub Server Tab
8.3 Cleanse Servers Tab
8.4 Environment Report Tab
8.5 ORS Databases Tab
8.6 Application Server Log
8.7 Cleanse/Match Server Logs
8.8 Console Log
Module 9-Admin Configuration Workbench – INFORMATICA DATA DIRECTOR
9.1 Business Data Director – User Interface
9.2 Data Model Elements
9.3 Configuration File
9.4 Subject Area
9.5 Subject Area Groups
9.6 BDD Data Display
9.8 Application Validation
9.9 Importing an application
9.10 Match Paths
9.13 Smart Search
9.14 Entity 360
Module 10-HIERARCHY MANAGEMENT
10.1 Hierarchy Management
10.2 Entities & Entity Type
10.3 H M Relation ships
10.4 H M Hierarchies
10.5 Hierarchy Management
10.6 H M Profiles
10.7 H M Packages
Module 11-INTRODUCTION TO SIF
11.1 Soap UI
11.2 Java Programs
11.3 Hub and IDD User Exits
Today every organization is going through some form of transformation. Every organization is in the process of reinventing itself through the use of digital technology to improve performance. Digital transformation has become a top priority for many organizations. When you closely watch there are three key trends that stand out about this transformation. Every organization is innovating around new ways to engage with their customers, introduce new and innovative products and services or they are entering new operating models that they never tried before. All these key undertakings have some of the common goals and they’re around improving the efficiency, decision making, customer satisfaction that leads to profitability and success of that organization. Data plays a key role in every organization master data plays a critical role in your digital transformation initiative.
What is MDM?
Informatica Master Data Management is a single authoritative wave of business critical data that you can rely on. It removes disparate, duplicated and conflicting information you have in your organization. For instance, Rob Barney’s and Robert Barney’s are the same person and often time your sales and marketing applications keep a separate copy making it extremely hard for you to understand, it is after all the same customer. MDM allows you to remove this conflict and helps you create a trusted and governed view that can help you deliver better customer experience, make confident decisions using analytics, deliver omni-channel consistency and ensure accurate regulatory reporting.
Impact of Bad Data
The financial impact of bad data is huge. According to Gartner, the average impact of poor data quality on an organization is in the range of $9.7 million per year. Harvard Business Review published an article that shows bad data costs $3 Trillion per year in US alone. While all these stats tell you how big is the impact of bad data, we are also seeing one in every two organization has no single wave of customers products, suppliers or any other key data assets across the channels they operate. This can be easily lead them to be extremely inefficient and make redundant and repetitive work instead of focusing on driving business towards the right direction.
There are 3 key challenges.
1.Bad data plays a key role. So, if you’re asking why can’t I get a clean and consistent customer information that’s probably because bad data. Gartner says bad data is costing companies 30% of their total revenue.
2.Data silos have a big role to play. If you’re wondering why can’t I see our customers total relationship with the company it’s mostly because 95%of the enterprise data is unstable as it is not integrated according to Forrestor.
3.Poor visibility is the third factor. If you ask why can’t I access all customer transactions and interactions in one place. It is because you don’t have all the data you need for operational and analytical needs in one place. Just by increasing data usability by 10% the average Fortune 1000 companies could boost revenue by $2 billion.
Information about your customers is constantly changing. According to research from Dun & Bradstreet 27% of data degrades every year. If you look into what happens over two to three years, all the data in your organization has become irrelevant. These statistics are mind-boggling. More than 5,000 people change job in a year. 2,700+ people move from one address to the other, close to 500 people get married and around half of them get divorced in the same timeframe. All this means you have constantly changing data about your customers. If you look at the b2b side, there are changes happening there too. 40 companies change address, 150 0f them change phone numbers. There are more companies closing door than new companies opening. All this certainly contribute to the bad data in your organization. If you do not monitor and take corrective actions your systems are constantly getting out dated. The data is deteriorating faster than ever before. The application landscape in the organization is also growing exponentially complex.
In the old world we had master data scattered across few key applications such as ERP, CRM and some of the legacy applications that companies for managing their data in. Today, an organization has an average of more than 1,000 applications. These applications include traditional enterprise resource planning systems, customer relationship management systems, new marketing, sales, social media and other type of applications. This means there is more fragmentation of data than ever before, making it extremely hard for organization to get a control on that data.
Master data management creates a trusted weave of your customer data by removing the fragmentation across your marketing, sales, services, ecommerce and other applications. It picks the most up-to-date and reliable information about customers from these sources and helps you create an enriched weave of customer so you can understand them better. The contact information, demographic information, household preferences, product purchases, channels being shopped and more can also be understood. This trusted view can then be used across the enterprise as MDM allows you to make this data easily accessible by the right people and systems. You can also feed this data to your analytical applications. MDM can create a 360 view from your internal systems in marketing, sales, services as well as external data sources. Your organization may have data residing in on-premise systems or on the cloud. You may even have data coming to you from third-party systems such as Dun & Bradstreet, Axiom, IMS, etc.
MDM creates an intelligent 360 view from all this data and allows you to feed reliable, trustworthy and governed data to your data consumers. These consumers may include your data warehouse and data lake environments, analytic applications such as tableau, click, etc. eCommerce applications are applications that your business partners have outside of your firewall. Irrespective of where your data is coming from or going to MDM helps you manage the end-to-end data flows.
There are a number of key capabilities that a mature master data management solution provides you.
1.Discover – You need to be able to find where your master data resides. For example, which of your systems, on-premises or on the cloud have fragments of customer data. What if you can have a Google-like interface that lets you scan the entire enterprise data landscape and find out what data exists, where and is of what quality.
2.Acquire – Acquiring that data and moving it into a single place this means connecting all the data that lives in many different applications say your customer relationship management, enterprise resource planning application, marketing automation system, customer service applications, etc., into a single central repository.
3.Clean – Here MDM focuses on cleaning the data. A lot of people enter data into your system with varying level of accuracy and completeness. It is critical to find the inconsistencies, inaccuracies and incomplete data that populates your systems and improve its quality so that the people who need it can trust it.
4.Enrich – MDM can help connect the third-party data sources such as Dun & Bradstreet, an Axiom to enrich your master data profile. This is the important step as it allows you to address incomplete data in your source systems. For example, you will also be able to create a rich customer profile from social data, click stream data, call log data and demographic data that helps you segment those customers by income preferences, behaviors and more.
5.Match – Matching the data you have gathered from different sources. Now that you have a clean accurate data after cleansing, you need to be able to identify any duplication that exist with in the data. For instance, match process helps you identify and flag these records for customer named Greg Fenton, G Fenton, Gregory Fenton or Greg Fenton. Based on established business rules MDM automatically identifies these differences and creates one single version of Greg.
6.Merge – In this step, the result of the match process is run through a resolved process where MDM automatically picks the most up-to-date and relevant data about Greg to create a trusted customer profile about him. It is intelligent and applies survivorship rules to create golden record that can be consumed by any application. This process also creates a set of tasks for data stewards when there is uncertainty around the true identity of the customer in our case Greg. Our data steward can then manually verify the results to ensure they appropriately merge or unmerge that record.
7.Relationship – Once the customer is connected, cleansed and mastered you need to be able to relate it to other important data points you have in your database. This includes the households, products that customer purchased, the employees and the partners they are working with, etc. These connections come together in MDM to represent the complete view of a customer and the relationships.
8.Security – Typical master data management system manages sensitive information about customer, patient and suppliers, etc. MDM must protect this data from unauthorized access by masking sensitive data and allowing only the right users and systems to read this information.
9.Deliver – Delivery of the right information to the right applications so that the people who are using those applications can make the right decisions. This step ensures the flow of trusted, relevant and governed data to and from every application.
10.Govern – An ongoing governance of the data management process to ensure we treat master data as a strategic asset. This step guarantees the trusted secure and current actionable data becomes a like flint of your organization and you have a repeatable commonly agree upon and a sustainable framework across the enterprise for ongoing compliance and overall usefulness of your master data.
This ten-step process is critical for creating a true 360-degree weave of your master data. MDM provides a way for you to build a trusted profile that is up-to-date, accurate, complete and relevant across the company. It removes silos view and helps you extend beyond the application boundaries that exist.
Here at informatica, they are focused on providing an end-to-end solution that provides all the 10 capabilities.
Ides Trainings provides you with the best trainers possible for Informatica MDM Online Training. We provide Informatica MDM Corporate Training. Our consultants are highly skilled at project support as well. We have an excellent team from India which is designed to provide Virtual Job Support from industry experts. We give end to end support in your project Informatica MDM training. If you are busy to attend the sessions at the specified timings you can go through our video tutorials as well. We also provide Classroom Training for Informatica MDM Training at client premises like Noida, Bangalore, Hyderabad, Mumbai, Pune, Delhi, etc.
Frequently Asked Questions (FAQs)
1.Is Informatica MDM easy to learn?
Informatica MDM is easy to learn compared to other tools in Informatica.
2.What is Informatica MDM called?
Informatica Master Data Management is the abbreviation of Informatica MDM.
3.What is the latest version of Informatica MDM?
10.3 is the latest version of Informatica MDM.
4.Is MDM a data warehouse?
MDM is applied only for entities and not transactional data, while a data warehouse includes data that are both transactional and non-transactional in nature.
5.Will the trainer assist me in resolving my queries during the training?
Yes, you can resolve your queries during the training.