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..!!