The Multi Dimensional Data Management Framework V 3

The Multi Dimensional Data Management Framework V 3. 0) ISBN: 978 -0 -620 -77121 -4 Presented by: William Evans

Workshop Agenda • 1. Simple Understanding of Data • 2. The Information Value Chain in your Enterprise • 3. Enterprise Architectures across Information Value Chain segments • 4. Time, Control, Delivery, Cost & Effort Considerations • 5. Identify KPAs for data stewardship • 6. Identify KPIs which address the Information Value Chain segments 2

1. A Simple Understanding of Data 3

The three main types of Data (each have their own Meta-data) • Reference Data • and its own Meta-data • Master Data • and its own Meta-data • Transactional Data • and its own Meta-data • Meta-data is not aa different type of Data. • Meta-data is simply one of the three types of Data used to provide context and clarity to a specific piece of Data. 4

Visual of Data (An Invoice) Meta-data 5

Visual of Data (An Invoice) Reference Data 6

Visual of Data (An Invoice) Master Data 7

Visual of Data (An Invoice) Transactional Data 8

Visual of Data (An Invoice) Meta-data Reference Data Master Data Transactional Data 9

Analogy: When weaving a carpet, there are 3 different threads A thread is a data attribute. Each millimetre of thread is instantiated data of the attribute of that thread. • Here is a simple explanation of Data Functioning in an Enterprise • Simple Weaving Loom (An Invoice with 3 types of data) • https: //www. youtube. com/watch? v=a. T 6 gx 4 db 7 z 8 • Automated Weaving Looms (One per Siloed Business/Business Unit) • https: //www. youtube. com/watch? v=ZYU 5 T 9 t 7 -oo • Circular Weaving Loom (An Enterprise’s 3 types of data) • https: //www. youtube. com/watch? v=zhzf 6 c. IEGM 8 10

2. The Information Value Chain in your Enterprise 11

Understand the data flow through the Information Value Chain Business Direction Silos created through Build end-to-end process lack of end-to-end Map “Gauteng Road Map process Map. Book” Concept. Business areas fulfil All. KPAs Business fulfil and areas KPIs in KPAs andof. KPIs isolation one synchronously with each another, destroying other, one strengthening another’s one another’scapabilities efficiency capabilities Data is an Enterprise Business Run Asset And must Business Enabled Flow 12

3. Enterprise Architectures across Information Value Chain segments 13

Enterprise Architecture Triangle 1 Business Processes Terms & Definitions Resources 14

Service Oriented Architecture 1 Business Processes Data Objects Services Technology 15

Understand data touch How points the between Architectures EA andwork Information together. Value Chain Segments Enterprise Architecture Enterprise Business Architecture Information Reporting Architecture Process Architecture Operations Resources ENTERPRISE DATA Delivery Architecture ARCHITECTURE Application Infrastructure Information Technology Architecture Enterprise 16

Understand data touch points between SOA and Information Value Chain Segments Service Oriented Architecture Enterprise 1. Business Value Chain Business 2. Business Capabilities Information 3. Reporting Rationalised Process 4. Procedures Rationalised ENTERPRISE Operations 5. Tasks Rationalised DATA Resources 6. Data Rationalised Application 7. Data Flows Rationalised Infrastructure 8. Simplified Effective SOA ARCHITECTURE Enterprise 17

4. Time, Control, Delivery, Cost & Effort Considerations 18

Cost and Effort Architectures 1 NOW Future Past NOW 19

Time Architecture 1 NOW Future Past NOW 20

5. Data Governance Structures across Information Value Chain segments 21

Understand stewardship across Information Value Chain segments Info & Data Governance a b c d Council e Business Value Chain Image g Info & Data i f h j Stewardship Council k IT Portfolio Image l m 22

6. Determine Executive focus across Information Value Chain Segment Metrics 23

Enterprise Data Architecture 24

CDO: Core Data Management Disciplines 25

The CDO: “Meaning” 26

CHRO: Human “Understanding” a b a Data b c Governance d e f Council g h a Data Stewardship b c d Council e f g h 27

The CIO: “Structure” 28

The CTO: “Medium” Data Governance Council Data Stewardship Council CTO Portfolio Image 29

The CDO, CIO & CTO: “Common Structure” 30