Intelligent Data Management meets SMART MDM™ Methodology


Informatica MDM Multi Domain Edition (MDE) supports multiple Business Data Domains with a flexible data model which allows you to adapt to Data model in line with your business requirements; also provides you the flexibility not to adapt to fixed vendor defined data models. The business rules can be reused across unified MDM, data quality and data integration on a single platform. The granular web services are automatically generated and high level composite services are created for rapid integration. The UI elements are automatically generated from Data model definitions. The value can be delivered within weeks hence reduces the chances of risks for delays and cancellations.

Project Management for Informatica MDM

Informatica MDM projects require the participation and enterprise buy-in to be successful. We as Mastech InfoTrellis have experience of more than 10 years and mastered the art of MDM project management. We have learned how to manage MDM projects. Mastech InfoTrellis has learned how to communicate and establish the business case, prioritizing and collecting the data requirements, preparing a plan for enterprise data integration and developing a migration plan for the applications participating in the process. There are steps for an MDM project to be successful and we have mastered these key steps to develop a master project plan. The initiative that spans the enterprise is bound to require significant amount of coordination from:

  • Identifying the key stakeholders
  • Gaining their support
  • Harnessing participant collaboration
  • Gathering requirements
  • Establishing roles & responsibilities

Creating an MDM Business case

For transition to MDM there is a significant difference between establishing a business case and communicating its value. The value proposition for each and every stakeholder focuses more on improvement in a person’s ability to effectively complete the job. This includes a number of different aspects for improvement in productivity, including but not limited to:

  • Data Quality improvements
  • Reduction in cross system reconciliation
  • Reducing operational complexity
  • Simplification of design
  • Easing Integration

Managing an Infa MDM team


Identifying the potential stakeholders across enterprise:

  • Project sponsor
  • Business & IT Management tier
  • Data governance & data quality practitioners
  • Information architects
  • System developers
  • Metadata analyst
  • Operations team

Developing a project charter

Project charter will capture the value proposition and business case to move forward on INFA MDM program:

  • Business case & key project sponsors
  • Current & desired target state
  • Proposed solution & deliverables
  • Budget & resource allocation
  • Risks

Participant coordination

The biggest challenge in an MDM program for coordinating with the participants lies in knowing where to begin:

  • Procedures for collaboration
  • Modelling the business
  • Responsibility assignment aka RACI Matrix
  • Data governance

Data requirements

  • Business context Identification
  • Interviews for stakeholders
  • Requirement composition
  • Feasibility
  • Next steps

SMART MDM™ flavor for INFA MDM

Our SMART MDM™ methodology is a result of our many years of experience working with clients on complex MDM programs. This methodology offers a common sense, multi-phased approach based on parts of Waterfall, Rational Unified Process (RUP) and Agile development methodologies. It blends deliverables with accountability and requires customer-focused teams to collaborate to deliver a high-quality MDM solution. It provides tested methods to ensure success for MDM projects.

SMART MDM™ will gel in better than other models for INFA MDM implementation. This methodology will distribute the Analysis, Design and Development into iterations to deliver early value to the customers. INFA MDM targets the mid-level companies that demands more disruptive innovation in terms of project management to expedite the delivery. This can be done via SMART MDM™ as this methodology has a greater ability to respond to change. We can have a quick collaboration between Business and IT as most of the decisions are taken by “Business” and hence involving “Business” is critical for the success of an IT project. This methodology is tried and tested on multiple successful MDM projects. Delivering early value to the project can provide you more visibility and hence earn good returns.

SMART MDM™ methodology includes the phases as given below:

  1. Discovery & Assessment
  2. Scope and Approach
  3. Analysis & Design
  4. Development & QA
  5. Deployment

Mastech InfoTrellis is your preferred choice if you are looking for the right MDM partner for an extremely successful MDM implementation and delivering a quicker return on investment.

For more insights regarding SMART MDM™ methodology of Mastech InfoTrellis, refer .

About the Author:

Abhishek Kamboj, Project Manager in Mastech InfoTrellis has an overall experience of around 6+ years and competent in successful delivery of highly complex MDM projects.

Informatica MDM, Master Data Management, MDM, MDM Project Management, Project management, Smart MDM

3 responses to “Intelligent Data Management meets SMART MDM™ Methodology”

  1. […] in multiple IBM MDM CE engagements. She has over 2 years of experience in technologies such as IBM Master Data Management Collaborative Edition and […]

  2. Jessica says:

    Hi Abhishek,

    Thanks a trillion mate!
    It works like charm, saved a lot of energy & time.

    I am working MDM 10.2 provisioning tool. I need to add a filter to consolidation indicator in provisioning tool. I am able to add the filter. But while publishing change list is blank. PFA for snapshots.
    How can I set filter on consolidation indicator (System variable)? Could anyone please help me.
    Advanced mappings support the various data cleansing and/or transformation logic required for cleaning the input source data. Functionality to add external data cleansing and address verification tools also like Trillium, Address Doctor, IDQ, etc.

    THANK YOU!! This saved my butt today, I’m immensely grateful.


  3. Irene Hynes says:

    Hi There,

    Thank you for update. From now onward I start to use this blog in my training practice. Thank you for explaining each step in screen shots. I use blogs for my easy reference which were quite useful to get started with.

    i found new issues

    as example below .. From the source i see that in lookup table both records are overlapping so i need to return both of the records from the lookup

    How can this be achieved ? Is there any way i can mention in the where clause of the Lookup Overide query Informatica MDM Training

    But great job man, do keep posted with the new updates.
    Best Regards,
    Irene Hynes

Leave a Reply

Your email address will not be published. Required fields are marked *