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Implement a Master Data Management Strategy

Manage the truth, the whole truth, and nothing but the truth with an MDM strategy.

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Your Challenge

  • Regulatory constraints, mergers and acquisitions, SOA, and Cloud computing all require a single version of the truth for master data objects and yet many organizations still have multiple copies.
  • IT and business leaders are recognizing the need to implement master data management (MDM) processes and technology to better manage enterprise master data.
  • Central to an MDM program is the implementation of an architectural framework that will support the management of master data, create an authoritative source of enterprise master data, and ensure appropriate access to master data for all relevant applications.
  • Several different architectures exist for MDM implementation and it is difficult to know which one is most appropriate for the organization.
  • MDM impacts the organizational data processes: how data is entered, maintained, accessed, and retired.

Our Advice

Critical Insight
  • Data Quality is a critical component to MDM and must be considered as part of any MDM initiative.
  • IT and the business often blame one another for data quality issues. The business must own the data, but IT needs to have an active role in offering solutions to help the business address data quality problems.
  • Organizational processes are just as critical as technology when implementing and maintaining clean master data.
  • An MDM initiative is a long-term practice, not a short-term project. MDM is never a truly complete project, as there will always be new data and new data sources coming into the organization. An MDM initiative is guaranteed to disrupt the culture of the organization, and that is often a factor contributing to not pursuing MDM. But that disruption doesn’t have to be detrimental if you are prepared to manage the change proactively and effectively.
Impact and Result
  • Implement MDM with Info-Tech’s MDM Lifecycle.
  • Develop a strategy and plan for MDM.
  • Design Master Data processes and technology.
  • Implement MDM processes and technology.
  • Maintain MDM through governance and optimization.

Get to Action

  1. Understand if I need MDM and which architecture may be best in my organization

    Assess the number of systems with copies of master data, and data quality effectiveness in my organization.

  2. Understand where Master Data is in my organization

    Catalog the systems of record for each data subject area.

  3. Create a Data Steward role for managing and improving data

    Drive greater accountability for data integrity.

  4. Set up a Data Governance Steering Committee

    Set up a steering committee charter for the oversight of data governance program initiatives.

Related Solution Sets

Move From Chaos to a Realistic Data Integration Strategy

Find a balance between a hopelessly tangled web of integration structures and expensive, impractical utopia.

Vendor Landscape Plus: Data Integration Tools

Integration is the name of the game.

Tackle Data Quality Issues

Low-quality data saps time and money. Stop bad data in its tracks by developing a comprehensive strategy for cleaning your data – and keeping it clean.

Implement a Data Integration Strategy in the Cloud

Don't let your data drift away.

Tags

BI, business intelligence, Oracle, SAP, IBM, Data management, master data management, SOA, Data integration, MDM, Cloud, salesforce, Tibco, Kalido, Pervasive, Informatica, Talend, dataflux, big data, data source, teradata, zynapse, database reporting analytics

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Manage the truth, the whole truth, and nothing but the truth with an MDM strategy.

Companies Who Helped

  • Apogee
  • Terry’s Tire
  • Organic Valley Co-op

Solution Road Map

Other Solution Sets in Data Integration & Data Management

  1. Move From Chaos to a Realistic Data Integration Strategy
    Find a balance between a hopelessly tangled web of integration structures and expensive, impractical utopia.
  2. Vendor Landscape Plus: Data Integration Tools
    Integration is the name of the game.
  3. Tackle Data Quality Issues
    Low-quality data saps time and money. Stop bad data in its tracks by developing a comprehensive strategy for cleaning your data – and keeping it clean.
  4. Implement a Master Data Management Strategy
    Manage the truth, the whole truth, and nothing but the truth with an MDM strategy.
  6. Effectively Manage Data Governance
    Convert the management of organizational data from a burden into a competitive advantage.
  7. Integrate a Data Audit into the Data Management Plan
    Data audits are not just about security: quality matters!
  8. Develop a Five Year Data Architecture Plan
    Secure your footings in data to lay a foundation that will withstand the winds and rain of today's IT disruptors.
View the full Solution Road Map