mdm introduction
TRANSCRIPT
Introduction to MDMNagesh
IntroductionMDM (Master Data Management)
manages the critical data of an organization.
At the end of the session audience will have high level information on MDM.
I have nine years of experience in this domain.
AgendaOverview of MDMHow it helps businesses to
succeedRisks and Challenges
MDM OverviewExample of a dataNagesh bought a sony television from Reliance Digital, Malleshwaram on June
19th at 3 pm and paid using card.
Who What Where When How Quantity Amount
Nagesh Sony television
Reliance 3 pm Card 1 ₹ 45,000
Customer ID
Product ID
Vendor ID
Date Payment
Quantity
Amount
Na324 Sony2878 RD121 19-06-2016 15:00
Card 1 ₹ 45,000
Field (attribute) = column in a database table
Record = row in a database table
MDM OverviewAbout event dataIncludes
(Event data)Does not Include
Information about the nouns that where involved in the event (who/what/where/when and how)
Information which is describing the nouns
Nagesh Male and resides in PeenyaSony television Specifications of Sony
televisionReliance Digital, Malleshwaram
Complete address of Reliance digital :-F21-F26, First Floor, Mantri Mall, Sampige Road,Malleshwaram - 560003
19 June, 3 pm 19th June is a bank holidayCard
MDM OverviewMaster DataData about the “things” that participate in the event.Stored in many formatsSpread sheetsShare point listsEnterprise Resource Platform (ERP) systems
MDM OverviewMaster Data ManagementComprises a set of processes, policies, and tools that consistently defines and manages the non-transactional data entities of an organization.
Control over master data values to enable consistent, shared, contextual use across systems and relevant version of truth about essential business entities.
MDM OverviewMaster Data Management System
MDM OverviewMDM solutions – Data movement
MDM OverviewSome of MDM solution Applications
STEP (STibo Enterprise Platform)Oracle InformaticaSAPRiversandOrchestra NetworksEnterworks
MDM OverviewTypical MDM capabilities
MDM OverviewMDM Approach
Design Build Deliver Operate
1. Governance
2. Business requirements
7. Build Data source components
11. End to end Testing 13. Project Review
3. System Analysis
4. Data Modeling
5. Select MDM toolset and Architecture
8. Build Data distribution components9. Build DQ components
10. Build UI and workflows
12. Acceptance testing and Deployment
6. System requirements
How MDM makes business successful Provides single source of truth by removing fragmented and inconsistent data across systemsReduced costFaster Introduction of new products to MarketProvides a 360 degree view which increases up-selling and cross-selling opportunitiesAvoid duplication of the dataIncreasing customer satisfaction
RisksGrowth through mergers and
acquisitions◦Duplicate data◦Data inconsistency
Multiple versions of the same master data in different parts of its operations
RisksImportant for firms to consider
key business data requirements across several key business functions, including sales, marketing, customer support, and compliance.
ChallengesDetermining the Master Data to
be managed◦Product / Customer / Employee /
Asset…◦Agreements / Licenses
Lack of consistency◦Definition and Meaning (Can a
supplier also be a customer)◦Data Quality
ChallengesData Governance and Maturity
◦Master data for most domains span the business
◦Who has the knowledge of everything
Information systems◦Which MDM pattern is appropriate◦Do multiple business systems require
update to the Master Data
Questions?
Thank you..!!