Disparate Data, Disparate Systems, Disparate User Groups (How to Architect The Enterprise Business Needs) Robert Schork, General Dynamics IT



Similar documents
The Key Components of a Data Governance Program. John R. Talburt, PhD, IQCP University of Arkansas at Little Rock Black Oak Analytics, Inc

Data Governance Data & Metadata Standards. Antonio Amorin

US Department of Education Federal Student Aid Integration Leadership Support Contractor January 25, 2007

Bringing agility to Business Intelligence Metadata as key to Agile Data Warehousing. 1 P a g e.

5 FAM 630 DATA MANAGEMENT POLICY

What s a BA to do with Data? Discover and define standard data elements in business terms. Susan Block, Program Manager The Vanguard Group

Introduction to Glossary Business

Enterprise Data Governance

Practical meta data solutions for the large data warehouse

Talend Metadata Manager. Reduce Risk and Friction in your Information Supply Chain

Luncheon Webinar Series July 29, 2010

Enabling Data Quality

October 8, User Conference. Ronald Layne Manager, Data Quality and Data Governance

Creating the Golden Record

Requirement Management with the Rational Unified Process RUP practices to support Business Analyst s activities and links with BABoK

An Introduction to Master Data Management (MDM)

How to Run a Successful Big Data POC in 6 Weeks

THOMAS RAVN PRACTICE DIRECTOR An Effective Approach to Master Data Management. March 4 th 2010, Reykjavik

Challenges in Metadata Integration: BMO Financial Group Case Study

Master Data Management Architecture

A Software Development Platform for SOA

Automating the IT Operations to Business Connection

Service-Oriented Architecture: Analysis, the Keys to Success!

Repository-Centric Enterprise Architecture

Federated, Generic Configuration Management for Engineering Data

Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software

US Department of Education Federal Student Aid Integration Leadership Support Contractor June 1, 2007

Essential Elements of a Master Data Management Architecture

Open Group SOA Governance. San Diego 2009

Information Governance and Data Quality

Metadata Repositories in Health Care. Discussion Paper

Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy

Master Data Management (MDM) in the Public Sector

Getting Started with Data Governance. Philip Russom TDWI Research Director, Data Management June 14, 2012

CA Repository for Distributed. Systems r2.3. Benefits. Overview. The CA Advantage

The Business in Business Intelligence. Bryan Eargle Database Development and Administration IT Services Division

Explore the Possibilities

Master Data Management The Nationwide Experience. Lance Dacre Director, Data Governance

A WHITE PAPER By Silwood Technology Limited

Analytics Strategy Information Architecture Data Management Analytics Value and Governance Realization

Software Engineering. Session 3 Main Theme Requirements Definition & Management Processes and Tools Dr. Jean-Claude Franchitti

Embarcadero DataU Conference. Data Governance. Francis McWilliams. Solutions Architect. Master Your Data

The following is intended to outline our general product direction. It is intended for informational purposes only, and may not be incorporated into

Effective Data Governance

Enterprise Data Management

Vermont Enterprise Architecture Framework (VEAF) Master Data Management (MDM) Abridged Strategy Level 0

A Holistic Framework for Enterprise Data Management DAMA NCR

Quest for a Business Rules Management Environment (BRME) in the Internal Revenue Service

JOURNAL OF OBJECT TECHNOLOGY

Architecture Description Framework for Enterprise Systems - A Layered Approach

Semantic Modeling of Mortgage Backed Securities: Case Study. Mike Bennett, Enterprise Data Management Council Yefim Zhuk, Sallie Mae

Dow's Master Data Management Business Processes

Data Management Roadmap

MDM AS A METHODOLOGY

Data- Centric Enterprise Approach to Risk Management Gregory G. Jackson, Sr. Cyber Analyst Cyber Engineering Division Dynetics Inc.

IBM Information Management

10 Biggest Causes of Data Management Overlooked by an Overload

Data Discovery & Documentation PROCEDURE

Getting started with a data quality program

Document Management & Workflow

Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software

Enterprise Data Governance

Requirements Definition and Management Processes

Best Practices in Enterprise Data Governance

Master Data Management: dos & don ts

SAP BusinessObjects Information Steward

Partnering for Project Success: Project Manager and Business Analyst Collaboration

Module 6 Essentials of Enterprise Architecture Tools

Updating the Clinger-Cohen Competencies for Enterprise Architecture

Data Governance Baseline Deployment

Metadata Application Understanding Software Migration

How to bridge the gap between business, IT and networks

Data Warehouse Modeling Industry Models

Simplify Complex Architectures and See the Potential Impact of New Technologies

Creating a Corporate Integrated Data Environment through Stewardship

Managing Third Party Databases and Building Your Data Warehouse

NASCIO EA Development Tool-Kit Solution Architecture. Version 3.0

What Business and Process Analysts Need to Know About BPM Suites

Business Analyst Work Plan. Presented by: Billie Johnson, CBAP CSM

Service Oriented Architectures Using DoDAF1

Before You Buy: A Checklist for Evaluating Your Analytics Vendor

APPROACH TO EIM. Bonnie O Neil, Gambro-BCT Mike Fleckenstein, PPC

Information Management CoE A Pragmatic Approach

Data Governance. David Loshin Knowledge Integrity, inc. (301)

Data Governance and CA ERwin Active Model Templates

Business Intelligence Town Hall

Sparx Systems Enterprise Architect for Team Players

The role of IT in business-led Data Governance. by First San Francisco Partners

Metadata Management as part of Data Governance and Data Stewardship at ebay, Inc. Mark Uksusman Sr. Manager, Enterprise Data Architecture, ebay, Inc.

IBM Analytics Make sense of your data

[ SHERRYANNE MEYER Manage Complex SAP Implementations with Enterprise Architecture

Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff

IBM InfoSphere Discovery: The Power of Smarter Data Discovery

IBM Rational Asset Manager

Transcription:

Disparate Data, Disparate Systems, Disparate User Groups (How to Architect The Enterprise Business Needs) Robert Schork, General Dynamics IT April 27, 2011 2011 Waters North American Trading Architecture Summit 1

Who am I? Over 25 years of IT Data Mgmt (including consulting) Over 20 yrs of Metadata experience including Metadata Analysis and Design for Fortune 100 corporations Implemented ASG Rochade and CA Platinum Repositories as well as created several Metadata Repositories/Scanners Current President of the Metadata Professional Org Former member of the IBM Data Governance Council and Meet The Boss Presenter at several Metadata and FIMA conferences Former Developer, DBA, Data Modeler, DA and BA Implemented several Enterprise-wide Data and Metadata Management, Data Governance, and Data Modeling Strategies at Fortune 500 companies. April 27, 2011 2011 Waters North American Trading Architecture Summit 2

Questions for the Group 1. How do you ensure that your data will be available and timely when needed? 2. How do I know that the definitions that I have are accurate and consistent. 3. What is the common denominator between disparate data, disparate systems, and disparate user groups? 4. How do you Architect the Enterprise Business needs so every group will get Their Data? 5. How many of you have your eyes glaze over when you hear the word. METADATA April 27, 2011 2011 Waters North American Trading Architecture Summit 3

I Know What You re Thinking April 27, 2011 2011 Waters North American Trading Architecture Summit 4

How much Budget do you have? April 27, 2011 2011 Waters North American Trading Architecture Summit 5

What is Metadata? Definition: Data about Data (useless definition) Metadata is the definition and usage of the information about the data of your organization. Business Metadata 3 Types Business Technical Operational Few really understand it It is not Pie in the Sky Technical Metadata Operational Metadata April 27, 2011 2011 Waters North American Trading Architecture Summit 6

Business Metadata Metadata Types Business Terms, Applications Stakeholders and Stewards Business Processes Technical Metadata Databases, Tables, Columns Flat files, XML docs, Spreadsheets Operational Metadata ETL Process jobs Programmatic metadata (Programs, Traceability) April 27, 2011 2011 Waters North American Trading Architecture Summit 7

AGENDA Case Study: Disparate data, Disparate Systems, Disparate User Groups Application Groupings (Topology) Serving diverse groups of users Extensions and Integration points Examples April 27, 2011 2011 Waters North American Trading Architecture Summit 8

Citi s Disparate Data Stores April 27, 2011 2011 Waters North American Trading Architecture Summit 9

Dilemma at Citi Goal was to capture Business Metadata and associate that with the existing Technical and Operational Metadata. Need to incorporate that throughout the Enterprise that has several distinct Business Sectors or LOB. How can we capture and incorporate Data Governance, Business Ownership, and Data Stewardship into the overall strategy. Vendor was too application specific with their approach. April 27, 2011 2011 Waters North American Trading Architecture Summit 10

First Step Decisions Implement a POC to determine if the ETL Repository was extensible, easily loadable, and reportable. Architect distinct Enterprise and Business Sectors separations of Business Term Metadata. Find a vehicle to capture Business Metadata in various forms. Define a process to associate that Business Metadata with the existing ETL Metadata elements. Determine if the existing Business Process Manager workflow engine could communicate and support Business Ownership and Data Stewardship approvals for Governance. Develop loading methods for each different metadata type. Sell it to a skeptical Sector base who has been burned before. April 27, 2011 2011 Waters North American Trading Architecture Summit 11

AGENDA Case Study: Disparate data, Disparate Systems, Disparate User Groups Application Groupings(Topology) Serving Diverse Groups of Users Extensions and Integration Points Examples April 27, 2011 2011 Waters North American Trading Architecture Summit 12

Topology The word topology is used both for the mathematical discipline and for a family of sets with certain properties that are used to define a topological space, a basic object of topology. Of particular importance are homeomorphisms, which can be defined as continuous functions with a continuous inverse. Topology includes many subfields. The most basic and traditional division within topology is point-set topology, which establishes the foundational aspects of topology and investigates concepts inherent to topological spaces Bob s Definition of Topology Categorizing and grouping items in an orderly manor to be used and reported on as to be useful to the Business. Must be aligned to the Business Processes or Business Areas. Must have involved Stakeholders April 27, 2011 2011 Waters North American Trading Architecture Summit 13

Multi-Tiered Architecture 1. Enterprise - Enterprise-level artifacts such as the highest Level Corporation business terms and processes. 2. Sector/LOB Level Grouping of Applications that perform a vital function 3. Application/System Level - The Local level Business data used by an individual Application. This is a Stewardship level. April 27, 2011 2011 Waters North American Trading Architecture Summit 14

Extended Metamodel Components Role (Business Owner, IT Steward) Enterprise Business Term Application or System Sector Business Term Linked Sector or Line of Business Linked Data Model Local Business Term Database Logical Entity Table/ File Logical Attribute Column/ Field April 27, 2011 2011 Waters North American Trading Architecture Summit 15

How do we start? Discovery Inventory of all applications and associated data stores. Record I/O to other systems. Classification - Identify all stores of metadata and assign them types (DBs, data models, data dictionaries, etc). Part of this step is the linking of Business and Technical metadata. Set-up - Determine the architecture for metadata storage to support the business needs. Integration - Compare one system to another and integrate those business terms at the LOB/Sector and/or Enterprise levels. Follow-up Discuss, confirm, and implement the metadata management strategy with the management. Form steering committees and establish standards. April 27, 2011 2011 Waters North American Trading Architecture Summit 16

AGENDA Case Study: Disparate data, Disparate Systems, Disparate User Groups Application Groupings (Topology) Serving Diverse Groups of Users Extensions and Integration Points Examples April 27, 2011 2011 Waters North American Trading Architecture Summit 17

Serving Diverse Groups of Users Different Sectors and Applications use data in different ways. This is why integration is so difficult. Setting boundaries and rules makes the reporting and usage of data relevant. Now each application area has their own Sandbox to play in. Inputs and Outputs will need to be defined. If these areas want to get really ambitious, then they can integrate with other applications within their sectors April 27, 2011 2011 Waters North American Trading Architecture Summit 18

Now that I have a Sandbox, so what? You can define all your Business terms that are used in your application. You can link the Database and Data Model elements to these Business Terms If you bring in your ETL information you can have your traceability defined and useable for impact analysis. You can now reuse reference tables. You can accomplish this in 6 months. April 27, 2011 2011 Waters North American Trading Architecture Summit 19

AGENDA Case Study: Disparate data, Disparate Systems, Disparate User Groups Application Groupings (Topology) Serving Diverse Groups of Users Extensions and Integration Points Examples April 27, 2011 2011 Waters North American Trading Architecture Summit 20

Multi-Tiered Architecture April 27, 2011 2011 Waters North American Trading Architecture Summit 21

What is needed A Metadata Repository tool (Build or Buy) Data Management or Center of Technical Excellence Team that consists of: Project Manager (Hands on) Metadata Architect (Metamodels) Sr. Repository Architect (Tool Admin) Must have Systems Analyst, Business Analyst, and Subject Mater Expert (SME) support Develop a plan to load and report on Metadata April 27, 2011 2011 Waters North American Trading Architecture Summit 22

Repository Governance Process April 27, 2011 2011 Waters North American Trading Architecture Summit 23

Approval Sequence Diagram April 27, 2011 2011 Waters North American Trading Architecture Summit 24

AGENDA Case Study: Disparate data, Disparate Systems, Disparate User Groups Application Groupings (Topology) Serving Diverse Groups of Users Extensions and Integration Points Examples April 27, 2011 2011 Waters North American Trading Architecture Summit 25

Enterprise Data Asset 2011 Waters North American Trading Architecture Summit 26

Business Sector Data Assets 2011 Waters North American Trading Architecture Summit 27

Business Data Asset Links 28

Change Request Tracking 2011 Waters North American Trading Architecture Summit 29

Traceability 2011 Waters North American Trading Architecture Summit 30

Questions Contact Information Bob Schork, General Dynamics IT Enterprise Data Architect Defense Medical Logistics, DoD Philadelphia, Pa Robert.Schork.ctr@dla.mil bobschork@hotmail.com 2011 Waters North American Trading Architecture Summit 31