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Enterprise Master Data Architecture

Enterprise Master Data Architecture

Design Decisions and Options

Alexander Schmidt, Boris Otto

Lima August 13 2010

Institute of Information Management

Chair of Prof Dr Hubert Österle

Lima, August 13, 2010

(2)

Motivation: Increasing Attention for Master Data on Enterprise Level

Process Industry: Fulfillment of REACH provisions (EU guideline regulating

registration evaluation authorization and restriction of chemical substances) forces

registration, evaluation, authorization, and restriction of chemical substances) forces

companies to gather data and give evidence of properties of their chemical

substances across the entire supply chain

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Insurance Companies: With fierce competition in a highly saturated market, need to

be able to view their customers from a 360° perspective, i.e. all customer master

data, contract data, and performance data must be available in a consistent,

up-to-date and complete form across the company

date, and complete form across the company

Procurement: In order to be able to conduct a comprehensive spend analysis in

multi-divisional companies, the central procurement department has to have access

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to consistent supplier master data and product group codes. Also, ownerships

structures of suppliers and their affiliates must be transparent so that purchasing

volumes of all subsidiaries can be taken into account in an evaluation

What design decisions do companies have to make with regard to master data

management in general and, more specifically, with regard to their enterprise

?

master data architecture and which design options do they have?

(3)

Defining Master Data

Represents the business objects which are agreed on and shared across the

enterprise, i.e. the “core business data entities”

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Master Data

Typical master data is material and product master data, supplier and

customer master data, and master data regarding employees and assets

Master Data

[Dreibelbis et al. 2008, p. 35], [Smith and McKeen 2008, pp. 65-66]

Data

Transaction Data

Master Data

Inventory Data

Low reference to time High reference to time High reference to time

L h f Hi h h f R l ti l l h

Low change frequency High change frequency Relatively low change frequency

Constant in volume Relatively constant in volume Increasing volume Existentially independent  referenced e.g. by transaction data Existentially dependent

 reference master data

Existentially dependent

(4)

Components of an Enterprise Master Data Architecture

Enterprise Master

Data Architecture

Conceptual Master

Application

Architecture for

Data Model

Architecture for

Master Data

Application

Systems

Data Flows

(5)

Literature Review: Appropriateness of Existing Architecture Frameworks

Zachman TOGAF EAP FEAF EAC DAMA

Enterprise master data

hit t f

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architecture focus

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Coverage of all enterprise master data architecture

components

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components

Reference to master data

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Specification of relevant design decisions

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Identification of concrete

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Identification of concrete design options

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Legend: TOGAF.… The Open Group Architecture Framework EAC…….. Enterprise Architecture Cube

EAP…….. Enterprise Architecture Planningp g DAMA…… Data Management Association g

(6)

Case A (DB Netz): Inventory of Infrastructure Assets (Tracks, Tunnels etc.)

Infrastruktur beschreiben

Trassen/Anlagen vermarkten Betrieb

Simulations-verfahren SNB IBL Statistik LeiPro-A ESF Dienstplan Projektbau

+ sonst. Anw. anwendungen

Konzern-IZ Pl Konzern-anwendungen TPS TPN Trassen- EVU-Anwendungen Gesamt APS S l Infrastruktur planen Verzeichnis d. zulässigen Geschw. NFLS Betris Systeme LST-IZ-Plan ZuGe GFD-I Neigung 1 Fahrplan-statistiken Trassen-bestellung Gesamt-angebot GFD-Z VZG Spurplan Druckliste StreDa La DB GIS DB Brücken Fahrzeug-DB bei TFZ 56 BuMV BIP LKD BAUPLAN Buchfahrplan Dokumente Bildliche Übersicht Bildfahrplan Zub-Info RUT-K Buchfahrplan NSS Csv-Dateien La-Druckstück EBuLa Trassen planen/disponieren IIS R/3 Netz R/3 Werke Genehmigung Schwerlast-transporte BBP Betra BFO-FfZ VERONA ZFIS Baumaßnahmen planen Örtliche FPLO Fahrplan für Zugmeldest. FPLO für Einzelzüge Infrastruktur instandhalten

 What is a common definition of the business object ‘station track’? (master data object definition)

 Which of the business object’s attributes must be used in a standardized way across different processes, and which need not? (master data validity, master data object definition)

 Which of the business object’s attributes are currently stored, altered, and distributed in which

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application systems? (metadata management)

 How do data flows between application systems look like? (master data application topology and distribution)

 Who is responsible for which data? (master data ownership)

 What data is created used changed in which activity of the business process? (master data lifecycle

 What data is created, used, changed in which activity of the business process? (master data lifecycle, master data operations)

 Should data describing station tracks be stored in a central system or in several, distributed systems? (master data application topology)

(7)

Case B (SBB Cargo): Identifying and Describing Master Data Objects

Absolute Number Percentage

Identified data objects 303

Identified data objects 303

with owner 279 92

owner still to be clarified 23 8

Identified data objects (per data type) 303

Transaction data objects 62 20

Master data objects 47 16

Reference data objects 114 38

S t 78 25

Synonym terms 78 25

still to be clarified 2 1

Data objects with master process 204 93

Data objects with identified master system 121 54

 Determine common uniform definitions and structures for the company’s master data objects (master data object definition, conceptual master data model) as well as unique identifiers for each master data class for unambiguous identification (master data validity).

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 Establish a central organizational unit responsible for carrying out changes on master data objects (master data operations, master data ownership).

 Determine the “leading system” for each master data class and optimize architecture of applications administrating master data (master data application topology).

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 Create a Master Data Map depicting assignment of master data objects to applications and the data flows between them (master data application topology and distribution).

 Design and implement tool-supported master data management processes (master data lifecycle, master data operations)

(8)

Case C (Deutsche Telekom): Integrated Enterprise Master Data Modelling

Architecture Layer Architecture Model Data Model

Produktkauf Ku n d en p ro ze ss Process Model Business Process Architecture N I:  Produktions‐ auftrag bis  Annahme N II: . . . . . . Te ilp ro ze ss Au fg ab e

. . . GbE‐Verfügbarkeitsprüfung . . .

Le is tung se r ‐ st e llu n gsp ro ze ss . . . I. 2 Produktion planen . . .

Business Object Glossary (Definition of Master Data Objects)

Strategic Management Product Lif e Cycle Mgmt.. Supply Mgmt.. Billing Partner L i l A hit t Business Object Model Group Domain Model Resource Management Service & Resource Lif ecycle g CRM Billing Service Management Partner Mgmt.. Production Mgmt . Logical Architecture

FlexProd Typ Feldlänge / Pattern G12-Lokations-ID Onkz Char [2-9] {1} [0-9] {1,4} Rufnummer Char [0-9] {1,10} LeistungsKey Char 14 G1-Produktanfrage LokationId String 60 ProduktinstanzId String 38 Technisches Produkt String 20 ProduktgruppenListe String 4 VonDatum String; dd mm yyyy 16

… FlexProd MEGAPLAN Kontes-Orka Application / System Architecture

 Origin and distribution of master data objects on its current application architecture (master data application topology and distribution)

VonDatum String; dd.mm.yyyy 16 BisDatum String; dd.mm.yyyy 16

(Logical) Application Data Models Application Landscape

?

topology and distribution)

 Semantics of master data objects leading to ambiguous understandings and inconsistent usage (master data definitions, metadata management)

 Business requirements on enterprise-wide data quality of certain master data objects (master data validity)

(9)

Morphological Box: Options for Enterprise Master Data Architecture

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Master Data Ownership Master Data Validity

Defined enterprise-wide Defined locally

Enterprise-wide Specific business unit Specific business process

Design Decision Design Options Cases

A, B and C A, B and C Busin e Archite c

Master Data Operations Master Data Life Cycle (Create, Update, Deactivate)

Centralized execution (by central unit) Local execution (by the owner)

Centrally standardized Hybrid Local design

A and B A and B

Data hitecture

Master Data Object Definition

Conceptual Master Data Model

Enterprise-wide, unambiguous

Per business unit Per project Not defined

Enterprise-wide, unambiguous

Per business unit Per project Not defined

A, B and C

B and C

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re Master Data Application

Topology

Central System Leading System Consolidation Hub Registry

Arc

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Metadata Management Responsibility and processes are defined

enterprise-wide

Not actively managed

A, B and C A and C Applicati o Architect u Topology (including allowed redundancy) g ration tecture

Master Data Distribution Push Pull Not defined A, B and C

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(10)

Enterprise Master Data Architecture Patterns

Separate Master Data Creation / Maintenance MDM System central Separate master data server Central System Enterprise Existing Business Application Leading System Enterprise Master Data

Architecture Bi-directional Coexistence

Hub De-central Uni-directional Consolidation Hub none Registry Consolidation

(Data Flow)

Peer-To-Peer-Architecture

(11)

Evaluating Different Architecture Patterns

Central

Leading

Coexistence Consolidati

Registry

Peer-To-Central

System

Leading

System

Coexistence

Hub

Consolidati

on Hub

Registry

Peer To

Peer

Adequacy for

operative MDM

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operative MDM

Little

implementation /

maintenance effort

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maintenance effort

Consistency /

Controlled

Redundancy

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Redundancy

Timeliness of

master data

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Scalability /

Performance

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Ability to improve

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Ability to improve

(12)

Contact Person

Dr. Boris Otto

University of St. Gallen

Institute of Information Management

E-mail: [email protected]

Alexander Schmidt

U i

it

f St G ll

http://cdq.iwi.unisg.ch

@

g

Phone: +41 71 224 3220

University of St. Gallen

Institute of Information Management

E-mail: [email protected]

Ph

41 71 224 3784

References

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