Implementing Business Driven Information Management Practices From Policy to Metadata the trail ….. Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 1 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 2 Who is Bank of Montreal Financial Group Founded in 1817, Canada’s first bank, made up of: • Personal and Commercial Client Group • 7.5 million personal and commercial • • customers 1,100 branches 2,000 automated banking machines • Private Client Group • Investment Banking Group • Assets $265 billion as of January 31, 2004 • 34,000 employees Implementing Business Driven Information Management Practices From Policy to Metadata 3 The Future Vision for BMO Financial Group We want to be… …the best financial services company, wherever we choose to compete We will get there by… …being a top-performing transnational financial institution, operating broadly in Canada and through significant focused franchises in the U.S. Our objective is… …to maximize total return to BMO shareholders and generate, over time, first-quartile total shareholder returns relative to our Canadian and North American peer groups Implementing Business Driven Information Management Practices From Policy to Metadata 4 Acknowledgements Learning from Information Management Industry Leaders ….. Influenced by Best Practices from previous DAMA conferences ….. AERA (C.L. Yonke) BearingPoint CGI Government of Alberta IBM Larry English Peter Block Thomas Davenport William G. Smith & Associates Implementing Business Driven Information Management Practices From Policy to Metadata 5 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 6 Information Lay of the Land ….. The climate we are operating in today; a mix of business growth, competition and risk BUT it’s also a climate of increasing regulatory requirements In today’s business environment it is a given … we must: • know who our customer is • ensure our organization’s information enables us to make the right business decisions Emerging regulatory requirements are starting to shape the information management requirements of all companies … • Privacy & security safeguards on customer data, long-term storage of historical records, stronger auditability • LEGALLY accountable for the information • in the wake of Enron, must be responsive to legislation such as the Patriot Act Sarbanes-Oxley Act (audits& financial reporting) & others Organizations to rigorously get a handle on their information, manage it to ensure compliance AND leverage it for business advantage. Implementing Business Driven Information Management Practices From Policy to Metadata 7 Information, along with financial and human resources, is a key resource in managing any business. As such, information needs to be managed as an integrated business resource or asset. What type of Information ? ALL Information … Any information used by the business to fulfill its mission and business objectives. Implementing Business Driven Information Management Practices From Policy to Metadata 8 Why Introduce a Policy ? The Drivers ….. Business Strategies & Business Activities Privacy Customer Information Quality Information Security Retention of Information & Protection Corporate Risk Management Content Management Regulatory Requirements Implementing Business Driven Information Management Practices From Policy to Metadata 9 Corporate Information Management: The Principles These are common terms of reference for making decisions and provide the basis for directives, developing processes, standards and guidelines to manage information assets. Accountability Planned and Coordinated Approach Information Stewardship, different to custodians Usability Information integrated with the planning cycles Quality & meeting the needs Information Management Optimize the value of Information Assets Foundational, leveraging information, linked to investments Accessibility Life-cycle Approach Planning, acquisition, creation, transformation, storage, use, retention or destruction & purging Sharing, authorized access Implementing Business Driven Information Management Practices From Policy to Metadata 10 The Policy Framework - How Policy Fits In High level definition … Board Policy • Corporate Policy •Authority assigned by Board for T&S and Business activities Operating Directives • Accountabilities • Role definitions • Provides direction to procedural activities Standards & Guidelines Operating Manuals Preferred Practices Standards Supporting Tools Information Management Policy, Privacy Policy, Information Security Policy Defines the expected outcomes … Directives on Information Stewardship, Retention Procedural and ‘how to’ … Naming/Data Standards, Information Classifications, XML Tags, Business Definitions, Repository Metadata, ERwin, Vignette, Model Management, Taxonomies Implementing Business Driven Information Management Practices From Policy to Metadata 11 Impacts - What This Means to the Way We Work The Corporate Information Management Policy articulates the objectives and principles of well managed information … throughout the entire organization …. Accountabilities Clarity & Consistency Ingrains Information Quality Practices Supports Other Policies & Initiatives Adds Formality & Rigor Implementing Business Driven Information Management Practices From Policy to Metadata 12 Information Policy – how we did it Steps Leading to the establishment of the Policy • led by Information Resource Management (IRM) but drafting prepared within a multi-disciplinary team • early adopters from a handful of areas but we ‘advertised’ that heavily – early adopters included: Legal, Privacy Office, Risk Management, Corporate Audit, Personal & Commercial business areas, IT, Corporate Risk and Information Security • reviewed with many executives, influenced committees and governing boards by working 1:1 with all members before any major milestone or presentation •Identify your partners first •Allow time for socialization •Link the Policy to existing information management processes (security classifications, employee attestations, etc.) • journey took one year, got board level policy approval Oct. 27, 2003, becomes effective May 2004 Implementing Business Driven Information Management Practices From Policy to Metadata 13 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 14 Business Context for Information Management Information Management Information Management Information Management Business Vision Strategy Goals/Objectives Measure/Monitor Operational Model Operational Business Processes Information Management In order for Information Management to be effective, it needs to be linked to the goals and objectives of the organization. Implementing Business Driven Information Management Practices From Policy to Metadata 15 Information Management Operational Framework The Information Management (IM) Operational Framework provides a means to position the Bank’s current maturity level across “elements” of Information Management. Elements describe what needs to be in place in order to put the Corporate IM Policy Principles into practice across the organization. IM elements are based on generally accepted best practices and industry subject experts, and reflect the integration of capabilities required to effectively implement Information Management across the organization. Operationalizing Information Management Strategy People Processes Culture & Behaviors Governance Technology & Architecture Based on components of two industry models: Davenport Information Ecology Model BearingPoint Information Management Capacity Check Methodology. IM elements have been grouped by these six operational perspectives. Implementing Business Driven Information Management Practices From Policy to Metadata 16 IM Operational Framework & the Corporate IM Policy Principles Putting the Corporate Information Management Policy principles into practice… Accountability All information is assigned an Information Steward. Accountability for the information stewardship, custody and management of information, is clearly defined. How is the Steward’s role integrated into the planning process? Information Valuation & Strategic Planning People How are other roles motivated to support the Accountability model? Strategy Processes Roles & Responsibilities Technology & Architecture What are the “Buckets” of information for which Stewardship will be established? Classification Culture & Behavior How is the Steward’s role integrated into the quality program? Incentives Governance Quality of Information Implementing Business Driven Information Management Practices From Policy to Metadata 17 The IM Framework – how we did it - danger of IM being perceived as a ‘technology thing’ - needed framework to illustrate the breadth & scope of IM - needed help to operationalize the IM policy and principles - combined & customized industry best practice frameworks to help us position IM - discussed many of the IM elements with internal SMEs, at the same time raising awareness for IM - currently using the framework as context and ‘backdrop’ to describe our IM practices relative to the IM Policy - it’s a ‘living’ framework, further refinement expected Implementing Business Driven Information Management Practices From Policy to Metadata 18 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 19 Information Stewardship – the Business Perspective A response to information quality needs Poor quality of information is a “significant inhibitor to the success of strategic business initiatives and makes it difficult, if not impossible, to generate business value from any effort requiring significant integration of data”. Areas within BMO, such as Personal & Commercial Client Group (PCCG) and Private Client Group (PCG), have been working towards managing information (specifically Customer information) as a strategic asset, focusing on the quality of the asset and recognition that Stewardship will enable this process more efficiently. The Bank has begun to recognize Information as a strategic asset which supports business strategies. The Steward role is key to ensuring this key asset is of acceptable quality. 1. Gartner Research, COM-19-3313, Feb 7, 2003. Implementing Business Driven Information Management Practices From Policy to Metadata 20 Our Information Stewards are from the Business Areas Major Roles & Responsibilities : Provide the meaning of the information, its business rules & contextual use. Monitor quality of information for accuracy, timeliness, consistency, validity, completeness, redundancy and impact across projects. For anomalies, propose resolutions that may span multiple business areas. Determine who may access information in accordance with privacy and information security policies. Provide direction for retention and deletion of information as per business regulatory and legal requirements. Ensure the information characteristics are available to a broad audience through the Corporate Metadata Repository. Implementing Business Driven Information Management Practices From Policy to Metadata 21 The Customer Information Integrity Group Mission: “In support of PCCG’s business strategy of growing share of wallet with our target customers and treating all customers as individuals, a fundamental capability is to have quality customer information that supports business strategy development and implementation accessible to all business users.” Goals: To manage customer information as a strategic asset and to improve profitability and competitive advantages of both our customers and ourselves. Create customer information that is cost effective, dependable and easy to understand so we can build trust with our customers. Ensure business processes and technology support are aligned to maintain the quality of customer information and reflect our ability to treat customers as individuals. To ensure all employees take ownership for the quality of our customer information in the capturing, modifying Implementing Business Driven Information Management Practices From Policy to Metadata 22 Customer Information Integrity Plan Data Remediation Customer Contact Cleanup: • Focus on key customer contact info • Build awareness of issue in Frontline • Correct address/telephone information Simplify business process and close “back doors” Foundation for Change • Information Management Corporate Policy Approved • Customer Information Strategy Approval • Business Governance established • Customer Profile and core data definitions agreed to by PCCG Data & Technology Simplification • Technology Plan approved by MBEC and funded through BMO Connect • Reduce duplicate customer records • Customer Information Stewardship established across PCCG Retool of Data Infrastructure aligned to support BMO Financial initiatives Implementing Business Driven Information Management Practices From Policy to Metadata 23 Key Performance Indicators for Customer Information Exec Level Percentage remaining duplicate customer records Percentage increase of “perfect” customer records Leading Indicators > Team Scorecard Indicators Aligned To Number of data elements that are standard in Book of Record Number of data elements certified in product systems Perfect customer record Number of business instances that use standards Number of “Backdoor” closures completed Number of duplicate customer records merged Duplicate Customer Records Percentage reduction in invalid addresses Certification process implemented Data template and metadata process Change / Behaviour Implementing Business Driven Information Management Practices From Policy to Metadata 24 Information Stewardship - how we did it • focused on one key subject area first, CUSTOMER, then learned from that experience • results measured and promoted in year one, now in 3rd year of stewardship • key lines of business jointly participated through the Customer Information Integrity (CII) Working Group and their executives govern through the CII Leadership Committee • IT (IRM, BPI) assisted in the preparation a process for developing business information standards • CII developed Business standards • CII developed measures for tracking quality • CII developing process for data certification Outcome: Stewardship practices starting up in four other business areas Implementing Business Driven Information Management Practices •Allow time for socialization! •Stewardship committee Involve key business stakeholders, where the data is managed by multiple organizations •Information Technology supports the business. The business is in charge. •Use a Repository to house and publish standards, and KPIs From Policy to Metadata 25 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 26 Business Standards for Customer Information A data standards definition process was developed for the Customer Information Integrity Group. Today this process is for broad based use. Embedded in Requirement Management curriculum. Embedded in the BMO Information Modeling course (in progress). Process has four stages: Initial Assessment, Definition and Approval, and Socialization. The Initial Assessment stage serves as the “gate” and helps determine whether or not a candidate for standardization has been found The Definition stage involves specific activities to define and test the quality of a candidate standards Approval of definitions is by the CII working group Socialization: Publication via the Corporate Metadata Repository, and links to key internal websites Implementing Business Driven Information Management Practices From Policy to Metadata 27 Flow Chart for Business Standards Initial Assessment: Definition and Approval: Do I need to follow the Data Standards Definition process? How do I define a standard? Who needs to approve it? Socialization: Who needs to know of the new data standard? Activity 1 Determine how data will be impacted within your project (pg. 5) Ask Yourself Does my project use or impact data? If Yes Ask Yourself Is the data I will use, or will impact, used by more than I business unit? If No If No you are exempt from the process you are exempt from the process If Yes Activity 2 Review requirements to define a data standard (pg. 6) Activity 5 Identify key stakeholders and develop communications plan (pg. 9) Activity 3 Conduct research and develop standard definition (pg. 7) Activity 4 Review with Working Team to obtain approval (pg. 8) Implementing Business Driven Information Management Practices From Policy to Metadata 28 Example: Flow Chart for Initial Assessment Stage Implementing Business Driven Information Management Practices From Policy to Metadata 29 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 30 Metadata Templates for Business Standards Several templates are layouts for Business information. The templates guide Business and IT staff in collecting the minimum required information. They also simplify the integration of metadata in the Corporate Repository. As part of the preparation of the standards, there are three ‘formats’ used The CII Working Group Presentation template, used by the business team to review, discuss and approve standards “Proposed” Data Standards Request templates (MS Excel, MS Access) used by IT teams to collect the information for deliver a requested standard provided to the CII team Standards Data Editor used by the CII team to directly maintain the standard definition in the Corporate Metadata Repository In addition, we have standard glossary templates for lists of standard terms in areas outside of the Customer Integrity Team (wherever a less developed standards exists) Implementing Business Driven Information Management Practices From Policy to Metadata 31 Example: Business Data Standard Template Full Name - Personal Customer Name is defined as a word or phrase that constitutes the distinctive designation of a person or entity Components, Definitions and Character Length Component Definition Examples* Name Prefix Title preceding name of individual JUDGE, MR, MRS, MS, MISS REVEREND SISTER DOCTOR SENATOR SIR FATHER JOHN First Name Middle Initial Last Name Name Qualifier Given legal name First letter of second name Surname Qualifier indicating a person has same name as another family member Field Length 10 30 H 1 SMITH JUNIOR SENIOR III 30 10 Relationship Rules Implementation Requirements Mandatory one-to-one relationship: Consideration Legal Name vs. Nickname 1. Within Full Name Every “Full Name” should include, at a minimum: - First Name - Last Name Joint Accounts 2. With Other 18 Key Data Elements Every “Full Name” should be associated with, at a minimum: For prospects: Full Address & Telephone Number For existing customers: Full Address, Telephone Number & Customer Holdings Summary Naming conventions for different cultures In Trust and Estate Accounts* Advisor/Broker* Account Authority* Recommendation Obtain legal name from customer and include in Full Name field Nickname is addressed in Key Data Element 13. Preferences (Preferred Contact Name) Both legal names should be captured and any reference to the joint account, from a profile perspective, should list both names. Include capability to list names in both English and French; names from other nationalities will be captured using the English alphabet (accents will not be captured). Obtain legal name of customer for whom the account is held. Follow Full Name standard. Designation required for customers who have products purchased on their behalf by a third party. Follow Full Name standard. Individual who has the authority to deal with the account (Power of Attorney). Follow Full Name standard. * At Account Level * Examples will be in a drop down menu Spacing and Order Sources: Subcommittee on Cultural and Demographic Data, Government of British Columbia Canada Post, Canadian Addressing Guide Canada Post Address standards highlight all full name characters in capitals 3. Middle Initial 5. Name Qualifier MR JOHN H SMITH III 1. Name Prefix 2. First Name 4. Last Name Implementing Business Driven Information Management Practices From Policy to Metadata 32 Business Data Standard Editor Implementing Business Driven Information Management Practices From Policy to Metadata 33 A Standard Data Element: “Currency Code” A Standard Definition (standard business name identified) Implementing Business Driven Information Management Practices From Policy to Metadata 34 Metadata Templates for Information Technology Metadata has always been collected by project teams as part of the SDLC. IRM devised a small series of templates (standard formats) for commonly found components This enables us to construct tools to extract metadata from these artifacts. Examples: ETL mapping (MS Excel) for ETL business rules Screen Layouts (MS Excel, MS Access), map fields on screens to standard (non-standard) data elements Message Layouts (MS Excel, MS Access) map fields on messages to standard (non-standard) date elements) Metadata from CASE tools such as ERWin (Logical/Physical data models) do not require templates, but do require standards for naming conventions, and usage. The metadata repository supports importing from programming languages such as COBOL, Assembler, C, etc. Implementing Business Driven Information Management Practices From Policy to Metadata 35 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 36 Pedigree and Impact Analysis Needs Regulatory requirement (ie Basel II Accord) BMO must provide “consistent audit trails from calculated aggregated measures back to the source transactions from which they were formed”. Business owners express these as requirements: The need for support audit trails; where data came from, it’s source, it’s target and the rules that acted on it Audit: Reduction in time to find information: Making decisions based on information, depends on knowing what information exists. Risk control: through impact analysis, to fully understand the impact of changing or touching a specific data item in one program, file or database, and manage the downstream risks of impacting other things. Knowledge transfer: the ability to retain information collected on an ongoing basis, long after the project ends Clarity of terms: The need to map and relate business terms from different business areas, across different packages (e.g., from PeopleSoft or data marts), enterprise level definitions or regulatory definitions Implementing Business Driven Information Management Practices From Policy to Metadata 37 Addressing the Need: The Warehouse View Place cursor over any part of the diagram to view details (data model, ETL mappings) Implementing Business Driven Information Management Practices From Policy to Metadata 38 Tracing a Data Element Implementing Business Driven Information Management Practices From Policy to Metadata 39 The Process for ETL Metadata A ETL metadata change process has been established involving IRM, the Data Warehouse Team, and project managers The same process is applied for the central Warehouse and all data marts A standard format for ETL metadata capture has been adopted Metadata is verified by Data Warehouse Quality Assurance. IRM produces metrics Source Standard Staging (Warehouse) ETL Mapping ERWIN data model ERWIN data model ETL Mapping Target (Data Mart) ERWIN data model Metadata Repository Implementing Business Driven Information Management Practices From Policy to Metadata 40 ETL Metadata Change Management Process Data Admin Logical/Physical Data Model Synchronizes model with DBMS Catalogue, IRM provides measures % of definitions, % of ‘good’ definitions (ERWin) Metadata Repository Comparison is done via an automated tool that reads the Metadata Repository QA team ETL Mapping Spreadsheet (Excel) Compares Mapping Spreadsheet to Source and Target Databases and the production ETL code Implementing Business Driven Information Management Practices From Policy to Metadata 41 ETL Metadata Change Management - How we did it • had strong IT executive support • leveraged existing processes rather than attempting to re-engineer the development process. The existing process uses Excel Spreadsheets to document ETL mappings • partnered with the team in the Data Warehouse group that needed help (QA originally verified mappings by hand) • delivered tools that verified the consistency of the metadata and transformed it for use in the Metadata Repository collecting the metadata • established a tracking process to ensure the delivery of metadata deliverables. Implementing Business Driven Information Management Practices • High-end tools are NOT required for capturing integrated ETL metadata (they are desirable) • Cross-functional coordination can be accomplished using the Repository as a QA reference (e.g., Data Models from one team, ETL from another • Have scheduled meetings with project teams to track the delivery of Metadata From Policy to Metadata 42 Quick Tour from Business to Technical Starting from a ‘business view’ Find a business standard, review the definitions From a standard term, find the data elements that it comprises From a data element find the technology uses Implementing Business Driven Information Management Practices From Policy to Metadata 43 Implementing Business Driven Information Management Practices From Policy to Metadata 44 List of Standard Terms related to customer information … a business view Implementing Business Driven Information Management Practices From Policy to Metadata 45 What elements comprise the standard term ‘language’ … detailed business view Implementing Business Driven Information Management Practices From Policy to Metadata 46 From a data element, find out more …. Business meets Technical Data Stewards shows accountability; Documents show links to other sites Click ‘what fields’ or ‘what columns’, etc. to see how other systems have it defined A Standard Definition (business name identified) Click to see the standard values Implementing Business Driven Information Management Practices From Policy to Metadata 47 Stewardship for Official Language Code Different roles may appear, in this case, only one key role shown: the Customer Information Integrity Steward Implementing Business Driven Information Management Practices From Policy to Metadata 48 Where is official language code used? Implementing Business Driven Information Management Practices From Policy to Metadata 49 Introduction Corporate Information Policy Business Information Management Framework Information Stewardship Business Information Standards Templates for Metadata Standards Pedigree & Impact Analysis Moving Forward Implementing Business Driven Information Management Practices From Policy to Metadata 50 Moving Forward IM Policy and Gap Study • focus on the value proposition • change management program & extending IM awareness Information Stewards • continue to roll out, will see strong linkages with info quality programs • establishing job stream with guidance from HR Processes • integration of IM practices into planning and risk processes • retention and disposition directive in progress Metadata • continue to refine and embed within existing processes • metadata assessments on the rise • tailored views of the repository web front end Implementing Business Driven Information Management Practices From Policy to Metadata 51 Contact Information Ingrid Bredin, Senior Manager, IRM (416) 513-5707 Ingrid . Bredin @ bmo .com Wayne Harrison, Senior IRM Specialist (416) 513-5196 Wayne . Harrison @ bmo .com Information Resource Management Technology and Solutions, Corporate BMO Financial Group 120 Bloor Street East, 5th Floor Toronto, Ontario Canada M4W 3X1 Implementing Business Driven Information Management Practices From Policy to Metadata 52