( Big ) Data Management

Master Data

Global Concepts in 10 slides 2016

Nicolas SARRAMAGNA

https://fr.linkedin.com/pub/nicolas-sarramagna/19/941/587

CONTENTS

Introduction

What / Why

How

References

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Master Data in Data Management 3

DATA MANAGEMENT Multiples modules

BIG DATA Velocity, Volume, Variety, Veracity, Value

Collect

Storage

Data Mining /

Machine Learning

Data Viz

Governance

Security

Master Data

Data quality

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Master Data – What / Why 4

MASTER DATA = VERACITY Business cross data dispersed in the enterprise Data cleaned, reliable, secured Data integrated in a system of records (single version of truth) and delivered as a service. Named golden record

in the master source. Examples of Master Data :

parties (customers, suppliers, partners, …)

things (products, bank accounts, prices list), places (locations, postal codes, plants, subsidiaries, zones)

hierarchical links (cost center, job families, …)

Note : transactional data = fact with time -> not a MD

MASTER DATA MANAGEMENT Deliver process, tools, governance to build and maintain master data Master Data + Governance + usage of Data Quality -> MDM

WHY Locate in one place and reduce maintenance of the data used by multiple applications Increase data quality and security on cross and critical data Expose these data for new usages and services

DATA BELONGS TO THE COMPANY NOT TO A BUSINESS

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Master Data – How 5

APPROACH TO PUT IN PLACE EACH MASTER DATA (1/2)

Current map of this data in the SI + define the master data try to fill the Master Data Sheet.xlsx

For each block, fill ‘Today’ and ‘Tomorrow’

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Master Data – How 6

APPROACH TO PUT IN PLACE EACH MASTER DATA (2/2)

Elaborate the architecture for this MD

Build the MCD in the MDM tool

Connect producers

Perform data quality

Connect consumers

Make a communication

Maintain the master data : business, technical, communication

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Master Data – How – Choose an architecture for this Master Data 7

Master Data App D

App E

Single version of truth

Consumers Producers

CENTRALIZATION / TRANSACTIONAL

ADVANTAGES No duplicates Allows stewardship (workflow, DQ)

Entry point : master data database

CONS Often, need consolidate at

first Need high availability (MDM

is the direct DB for consumers)

USAGES New data (ex : from Excel files) Need strong governance

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Master Data – How – Choose an architecture for this Master Data 8

COOPERATION / CO-EXISTENCE

Master Data App D

App E

Single version of truth

Consumers Producers /

Consumers

App C

App A

Entries points : business databases + master data database

ADVANTAGES Cooperation vision Allows stewardship (workflow, DQ)

CONS Duplicated MD Need to have MD up to date If producer needs back

loop, could be complex to integrate

USAGES Need flexibility governance Need uniformity between data

sources

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Master Data – How – Choose an architecture for this Master Data 9

CONSOLIDATION

App A

App B

App C

Master Data App D

App E

Single version of truth

Consumers Producers

Entries points : business databases

ADVANTAGES Non intrusive Allows stewardship (workflow, DQ)

CONS

Duplicated MD

USAGES Used to initialize MD database Few producers Need strong governance

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Master Data – How – Choose an architecture for this Master Data 10

VIRTUAL / REGISTRY

App A

App B

App D

App E App C

virtual repository

index

Consumers

Entry point : service of requests

ADVANTAGES Non intrusive Low cost

CONS No stewardship, no DQ Virtual master data

USAGES No DQ needed No governance needed Need real time

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Master Data – How – Architecture synthesis 11

Usages Advantages Architecture

Centralized

Co-existence

Consolidation

Registry

Cons

Need strong governance

New Data (Excel)

No duplicate

Data Quality

Stewardship

Consolidation at first

MD database centric (high

availability)

Need flexibility

governance

Need uniformity

between data sources

Need to initialize MD DB

Need strong governance

Few producers

Need real time

No DQ needed

No governance needed

Cooperative vision

Data Quality

Stewardship

Non intrusive

Data Quality

Stewardship

Non intrusive

Low cost

Duplciated MD

Process to have MD up to

date

Back loop

Duplicated MD

No Data Quality

No Stewardship

Virtual MD

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Master Data - References 12

REFERENCES

https://www.semarchy.com/semarchy-blog/backtobasics-mdm-hub-patterns

Book : Master Data Management in Practice: Achieving True Customer MDM

Book : Master Data Management and Data Governance