Building a strong data management capability with TOGAF and ArchiMate. Bas van Gils

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1 Building a strong data management capability with TOGAF and ArchiMate Bas van Gils

2 Dr. Bas van Gils +31-(0) Life is and will ever remain an equation incapable of solution, but it contains certain known factors. --Nikola Tesla (1935) 2

3 Integrated service offering Enterprise Architecture Management Business Modeling Business Process Management Business Requirements Management Consulting services Tooling Training Best practices 3

4 Clients and offices worldwide Netherlands: Amersfoort, Enschede North America: Toronto, Boston Belgium: Leuven UK: London Germany: Dusseldorf France: Paris 4

5 Agenda Why data management matters Setting the scene: Introduction TOGAF Introduction ArchiMate Using TOGAF and ArchiMate as instruments to build a strong data management capability Comics from: More information

6 WHY DATA MANAGEMENT MATTERS

7 Does this sound familiar? Delivering answers to an intelligence question takes several days. We need the answer today! We do not have a single, unified view of our customer or our products We don t trust our intelligence data. Quality has been an issue too often in the past. Tracing customer complaints, late orders, defective parts is extremely hard for us

8 Data Management: NoSQL, Big Data, BI, Business Policy / Rules, MDM, Meta-data, Data Warenhouse Strategic Management: Business Model Canvas, Innovation, Business Intelligence, business model 8

9 Data as an asset - Jill Dyché, IRM UK 2013 MDM/DG keynote Big Data and Data Asset Management

10 Growing business attention for Data Management 10

11 Business case Defining the business case for an MDM initiative is especially important as MDM tends to be an enabler to future value rather than delivering direct business value itself [ ] MDM programs should align to business objectives ( WHY ) the technology is simply HOW you get there. -- Whitepaper Why MDM projects fail and what this means for big data by Entity

12 INTRODUCTION TOGAF AND ARCHIMATE

13 Enterprise Architecture EA is a conceptual tool that helps organizations get a deeper understanding of their own structure and of the way they work. It provides a map of the enterprise and it is a route planner for business and technology change. Important uses of it are in systematic IT planning/ architecting and in enhanced analysis and support for decision-making. handbook enterprise architecture, BiZZdesign,

14 Ingredients of an EA framework TOGAF ArchiMate Process Viewpoints Language Repository, Reference Models 14

15 The TOGAF components 15

16 Architecture Development Method (ADM) 16

17 Capability based planning 17

18 ArchiMate High-level modeling within a domain ArchiMate language Basis for visualizations Modeling relations between domains Basis for analyses 18

19 Applying ArchiMate 2.0 Baseline Target 19

20 ArchiMate + TOGAF 20

21 Implementation & Migration Technology Application Business Passive structure Behavior Active structure Motivation 21

22 USING TOGAF AND ARCHIMATE AS INSTRUMENTS TO BUILD A STRONG DATA MANAGEMENT CAPABILITY

23 Framework for Data Management Many frameworks have been proposed for DM Focus on an aspect of DM Focus on tooling for DM Focus on a process for DM... This presentation is based on the DAMA DMBOK framework Integrated approach to DM Easy to align with the OpenGroup standards for Enterprise Architecture

24 Map out the enterprise Master Data Management programs cause change: to data, to systems, to business process, to people and to the enterprise. An organization should map out their organization to identify the data, systems, process and people affected by the initiative and how they will be affected. -- Whitepaper Why MDM projects fail and what this means for big data by Entity

25 Making it work Data Management is strongly business driven: tackling business issues with an enterprise-wide approach is an investment that pays off in the long run Use TOGAF s ADM as a structured approach to implement your DM-capability To gain traction, solve those issues that give the biggest bang for the buck first success sells! Integrate models that map out the business with models that define your data management capability, including governance, MDM, BI, Meta-data etc.

26 Building a DM capability using EA methods TOGAF provides a structured method for effectively realizing a business vision: start with a business vision for the data management capbility develop baseline & target architecture incremental realization Capability based planning is a key ingredient for succesful enterprise-wide change DMBOK Elements map on aspects of the DM capability Provides a basis for roadmapping: what goes first? ArchiMate is the language of choice for enterprise-level modeling High level modeling within & across domains Basis for analysis & visualization Aligned with TOGAF & DMBOK

27 Data governance Integral, enterprise wide governance is key to success The role of the data steward is crucial: s/he is responsible for data quality in a specific subject area Data stewards co-ordinate their work in a data council which is jointly responsible for the information landscape

28 Information versus data Several Entities are pertinent in the context of a Subject Area Several systems may manage Data Objects that realize (part of) the information that is pertinent to these Entities In terms of decomposition: At the architecture level we work with Business Objects and Data Objects These may be refined in an ERD diagram at the design level

29 Master Data Management (MDM) Many organizations have to juggle with disparate administrations of key entities Having an integral overview of these entities is key to business success MDM is the discipline of providing this integrated view. There are many (IT) patterns to realize this goal. In modern architectures it often ties in with SOA

30 Business Intelligence & Data Warehousing Transaction systems directly supporting business processes maintain data at a low level of granularity Business Intelligence is a query, analysis, and reporting capability of the organization that provides insight in historical and aggregated data of the organization A data warehouse (EDW) is a technical environment that enables Business Intelligence

31 Meta-data management Meta-data is often defined as data about data. A distinction must be made between Business meta-data Technical meta-data Everything that we model about data can be seen as meta-data: Properties Documentation Relations to other objects

32 Stewardship of an information area Decomposition of an information area in entities Overview Data Object counterparts of entities are stored in information systems Data movement to an EDW environment for BI products such as financial reports, production reports, governance logs etc. Mastering of data objects in an MDM environment

33 Switching between visualizations

34 Problem solved? Alignment with the business, strong data governance, and grip on the information landscape enables the organization to get answers quicker. Central meta data management (business definitions, links to processes, lineage in systems) and strong governance results in increased trust in data quality. Delivering answers to an intelligence question takes several days. We need the answer today! We don t trust our intelligence data. Quality has been an issue too often in the past. We do not have a single, unified view of our customer or our products Master Data Management (MDM) helps the organization to define a single unified view of key Entities Tracing customer complaints, late orders, defective parts is extremely hard for us Data issues often lurk under business issues. A model-based approach covering all related enterpriseissues will enable the organization to handle these issues effectively

35 Take Away Organizations are increasingly dependent on quality data / information to run their business. Therefore: data management is a business issue. Data management is not a project; it is a continuous process. This capability will contribute to sustainable business success. An architecture-approach will help the organization to build a strong data management capability. Both the information landscape, system landscape, and organization / governance structure around data management are highly complex. This complexity is managed by using ArchiMate modeling with BiZZdesign Architect

36 MORE INFORMATION

37 Data Management Resources The Data Governance Institute The Data Management Association The MDM Institute Institute of Metadata Management

38 BiZZdesign, OpenGroup Blog.bizzdesign.com TOGAF series : helps you getting started with TOGAF Architecture standards : provides a consistent approach to archtiecture standards management ArchiMate series : provides an overview of ArchiMate combined with best practices Roadmap to success : presents best practices for building a strong architecture capability Downloadable versions of the full specifications of ArchiMate and TOGAF at Many whitepapers, and recorded webinars General information about BiZZdesign: The website of our Academy: Our Tool, BiZZdesign Architect 38

39 Interested in the slides? Go to and select webinars" 39

40 BiZZdesign. All rights reserved. BiZZdesign and BiZZdesign logos are registered trademarks of BiZZdesign Company.

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