An Introduction to Master Data Management (MDM)

Transcription

1 An Introduction to Master Data Management (MDM) Presented by: Robert Quinn, Sr. Solutions Architect FYI Business Solutions

2 Agenda Introduction MDM Definition MDM Terms Best Practices Data Challenges MDM Benefits Technical Terms Q&A

3 Definition MDM is a set of processes and tools that enable an organization to define and manage non-transactional data entities

4 Non-transactional Data Entities Master Data = nouns (aka Domains, Entities) People (Customers, Employees, Vendors, etc.) Location (Addresses, Geography) Things (Products, Materials, Assets, etc.) Reference Data (Codes) Other (Date/Time, Chart of Accounts, etc.)

5 Practices, Processes and Tools Collect, Cleanse, Relate, Distribute, and Protect Standards Ownership / Approvals Understanding Communication

6 Big Umbrella Consolidate disparate data sources Matching / De-duplication Relationship Management Organizational Views Access Control / Ownership Cleansing / Data Quality / Standardization External Data Integration

7 Typical Data Challenges Multiple systems contain subsets of critical data Existing applications can t support new/different requirements Operational requirements conflict with analytical requirements Organizations can t agree on a single version of the truth Garbage in, garbage out

8 Benefits of MDM Collect Combine data from isolated systems to create a complete picture Cleanse Consistent / well structured data is easier to use Relate Relating entities together creates new information Distribute Consistency reduces confusion, promotes reuse and improves integration Protect Compliance and security are fundamental requirements

9 Recap MDM is a focused, organizational approach to business entities MDM is NOT concerned with the activity of the entities (orders, returns, loans, etc.) MDM should be more about process than technology Technology enables MDM, but it s the process that is MDM

10 Relationship Management Relating entities creates new information Matching is not just about duplicates House-holding Social Networks Shared Ownership Comparing relationships from multiple sources is a powerful discovery tool Effective dating provides a view of entities & relationships through time

11 Integrate multiple versions of the truth

12 Relationship Management Summary MDM is foremost about improving the consistency, quality and scope of your data Relationship Management is a process of generating new and valuable information from existing data Effective dating is the practice of tracking data changes through time

13 MDM Technical Terminology Operational vs. Analytical Single Domain vs. Multiple-Domains Federated vs. Centralized MDM Architectures Registry Transaction Co-existence Consolidated

14 Analytical MDM Architecture

15 Sources (Reference or Relationship Data) Staging MDM Hub ~ Data Flow MDM Trust Framework Rules-based Configuration Tools Delta Detection and Cleansing Consolidation Process Data Source ETL Landing Raw f(x) Reject Management Insert/ Update f(x) f(x) Apply Trust and Validation Queued for Merging Auto Merge Match Queued for Matching New Target Data Model Product Name Address Manual Merge Un-Merge Dynamic Cell-Level Survivorship Events Msg Queue Data Warehouse Data Consumer Application Msg Queue/ Services f(x) f(x) Insert/ Update Rules Metadata Content Delta Detection and Cleansing Hierarchy Validation State Mgmt Workflow Event Trigger History Lineage X Ref Trust Score Audit Application

16 Operational MDM Architecture

17 Architecture Recap There are numerous architectures, approaches, and toolsets for implementing MDM Architectural choices (as always) are dependent on your requirements, culture and long-term vision The technical landscape is maturing but should still be considered leading edge

18 Questions and Answers Thank you for your time! Robert Quinn FYI Business Solutions