Black Watch Data

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Black Watch Data

Black Watch Data

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  • 1. Holistic Enterprise Data Management 0 ©2010 Black Watch Data
  • 2. “30% of all operational errors are due to poor information quality.” Reuters 2009 1 ©2010 Black Watch Data
  • 3. “Customer data degrades at a rate of 24% per year.” Beth Eisenfeld, Gartner 2008 2 ©2010 Black Watch Data
  • 4. Zero Defect Data [zeer-oh dee-fekt dey-tuh] uncompromised data quality and integrity, forever 3 ©2010 Black Watch Data
  • 5. BWD OFFERINGS 4 ©2010 Black Watch Data
  • 6. What We Do Provide businesses with the appropriate tools, resources, knowledge and skills to address Enterprise Data Management (EDM) in a holistic manner. This includes:  data strategy  governance, policies, procedures  natural language business & data rules  data architecture  data models  migration and integration  proactive data rule enforcement / master data management (MDM)  data synchronization  data cleansing and enrichment  continuous data validation and rule enforcement through passive data monitoring 5 ©2010 Black Watch Data
  • 7. BWD Solution Offerings ERP Optimization Technology Architecture Data Sustainability Program Program Governance 1 Data Cleansing & 2 Situational • Provide software to Enrichment Analysis assist organizations • Using BWD software as • Defective data is often Governor™ manage data well as BusinessObjects symptomatic of bad governance: Ownership, Data Services to identify process. By reviewing Stewardship, Policies, all the data defects. In the current state of data Procedures & business addition, add appropriate (master, reference & Sentinel ™ and data rules data enrichment elements transactional), one can Master Data pinpoint which Data Migration & processes need to be Management Integration improved. • Implementation and • Provide software to Commander™ support of BWD’s assist businesses with Enforcer for proactive converting data during Optimization of data enforcement or initial implementations Functional SAP’s MDM and Data and roll-outs Operations via Phantom™ Enforcer ™ Services Your Data Data Management • Reviewing master Organization Data Integrity & Quality and transactional data 3 4 • Providing expertise can show effectiveness PeopleSoft, and software to assist • Provide software for of operational and Oracle, SF.com, SAP Non-SAP with creating the proactive and on-going functional changes. The etc. appropriate passive data validation data can also help organizational structure and enforcement determine potential areas of improvement. 6 ©2010 Black Watch Data
  • 8. The Suite  Governor  Enforcer – Policy, procedures – Wizard / Form based Master Data – Supports DMO Creation  Commander  Materials, Vendors, Customers  Additional data types added – Zero Code Business Rules continuously  Business Rules created in natural – Dynamic screen generation language  Fields and grouping are configured  Supports high complexity rules with a few clicks across entire data dictionary  Puts ownership of rule maintenance – Integrated workflow in the hands of the DMO  High flexibility / easy configuration  System of record on field level  E-Mail notification allows highest flexibility  Sentinel  Phantom – Defect reporting with workflow – Continuous data quality monitoring integration  Multi system – KPI monitoring / analytics on data  Mass Update management processes / activities 7 ©2010 Black Watch Data
  • 9. The Suite (Cont’d)  Administration – Role based user maintenance – Role based workflow configuration – Regulatory Compliance  Role assignment  All activities in system are logged – Data Dictionary  Highly flexible, configurable  Custom additions  Standardized naming  Grouping of fields  Works across multiple instances of SAP or other systems (e.g. Salesforce.com) 8 ©2010 Black Watch Data
  • 10. DATA SUSTAINABILITY 9 ©2010 Black Watch Data
  • 11. Components of the Holistic EDM Framework  Data Strategy  Architecture and Technology  Executive Sponsorship  Data Modeling / Database Design  Vision, Mission, Goals, Scope  Data Classification, Categorization  Data & Information Lifecycle  Security  Business Performance  Performance  Risk Management  Storage  Business Change  Location  Governance  Operations  Organization and Operating Model  Data Acquisition  Communications  Data Migration and Integration  Measures, Metrics and & SLA‘s  Data Cleansing, Enrichment  Ownership, Stewardship  Data Quality  Policies, Procedures, and Rules  Location, Distribution  Definitions, Taxonomy, Standards  Data Consumption  Personal, Departmental Databases  Retention, Archive 10 ©2010 Black Watch Data
  • 12. Four Steps to Data Sustainability 1 Govern Define the Organization and Processes to govern your Enterprise Data; especially master data 2 Cleanse & Enrich Define standards and clean / enrich existing data to the Zero Defect standard 3 Enforce Prevent defective data from entering the system or environment by using software based pro-active data validation and enforcement 4 Monitor Use automated passive rules to validate and enforce so to perpetually monitor ongoing data integrity and quality 11 ©2010 Black Watch Data
  • 13. Data Governance Overview Ensure that data is Dedicated managed as an organization is enterprise asset Data Management Organization established to administrate program People Executive Sponsorship (both Business & IT) Data Ownership This group “stewards” is assigned to the the data on behalf of appropriate Business Data Ownership the owners. Function. The “owner” best Accountable for Data understands the business Quality and Data Architects Data Stewards appropriate usage value of the data. Changes Process to master data and Data Maintenance Data Change other data processes are Data Quality integrated & Maintenance Control structures are managed through a coordinated formal process Data and Policies Standards Technology Business and Data rules Business Rules Enforcement Data Quality are created and is monitored and managed based on the Rule corrected at time of entry Workflow and Controls needs of the enterprise. (Proactive) and periodically thereafter (Passive). Data Integration and Synchronization Workflow is automated and Policies are developed, and key controls are enforced enforced. Transparency from Data Standards are Data is integrated and the Data monitoring is automated. Policy to Rule. mandated and managed. synchronization is automated Business and data rules are enforced through the enterprise via automated passive and proactive software. Standards are compliance tested. 12 ©2010 Black Watch Data
  • 14. A Specific Core Competency DATA MIGRATION & INTEGRATION 13 ©2010 Black Watch Data
  • 15. Consolidation Strategy Framework (Example) A. Economies of scale (HW/SW procurement, service agreements, and licenses) B. Headcount reduction (duplication High A & organization streamlining) B C. Telecom contractual C arrangements (data, long D distance, local, conferencing) E F D. Support consolidation (help desk, maintenance, PC services) Value E. Operational efficiencies (process, G data centers, networks) I H F. Outsource non-value add IT J L services K G. Expenditure avoidance (telecom bill audits, current/future services, development projects) H. HW, SW, IT process Low standardization I. Skills transfer / upgrade Fast/Easy Long/Hard J. Best practice sharing (delivery Timing and Complexity model, service levels) 14 ©2010 Black Watch Data
  • 16. Technology Consolidation - Before LEGEND e-Service CUSTOMER SERVICE MANAGEMENT TRP Wide Stack 1 Stack 2US Legal Stack 3Intl Legal SALES & SERVICE OPERATIONS BILLING & COLLECTIONS INFRASTRUCTURE & FINANCIALS Science Stack 4 MIDDLEWARE Opportunity Contract Order Mgmt Entitlement Billing/ Collections/ Tax Invoicing AR Infrastructure Product Health Stack 5 Accounting Tax & Stack 6 Accounting As of 12/1/2007 As of 12/1/2009 Technology Out of Scope Stacks: 6 Systems: Total (workflow or - Legal DB apps that Technologies: 421 support Legal department, corporate incidence, audit, legal obligations) - HR (payroll & employment, employee self Facilities services, career development & learning) Usage - Editorial processes - Collaboration & Content applications (x Bus. Apps) Commissions - Telephony/Internal Network - Applications retired as of 7/3/08 - no subsystems- because they are not separable 2. Complex Data - SAP Modules Warehouse data models already listed in the CORP apps inventory (maintained within RESOURCE PLANNING & MANAGEMENT REPORTING TRP) 15 ©2010 Black Watch Data
  • 17. Technology Consolidation - After LEGEND e-Service CUSTOMER SERVICE MANAGEMENT TRP Wide Stack 1 Stack 2 US Legal Stack 3 Intl Legal SALES & SERVICE OPERATIONS BILLING & COLLECTIONS INFRASTRUCTURE & FINANCIALS Science Stack 4 MIDDLEWARE Opportunity Contract Order Mgmt Entitlement Billing/ Collections/ Tax Invoicing AR Infrastructure Product Health Stack 5 Accounting Tax & Stack 6 Accounting As of 12/1/2009 Technology Out of Scope Stacks: 3 Systems: Total (workflow or - Legal DB apps that Technologies: 89 support Legal department, corporate incidence, audit, legal obligations) - HR (payroll & employment, employee self Facilities services, career development & learning) Usage - Editorial processes - Collaboration & Content applications (x Bus. Apps) Commissions - Telephony/Internal Network - Applications retired as of 7/3/08 - no subsystems- because they are not separable 2. Complex Data - SAP Modules Warehouse data models already listed in the CORP apps inventory (maintained within RESOURCE PLANNING & MANAGEMENT REPORTING TRP) 16 ©2010 Black Watch Data
  • 18. Instance Consolidation  Rule #1: Instance consolidation without process standardization will increase costs and decrease efficiency:  Recommendation #1: Thoroughly investigate the variances in processes between different instances.  Rule #2: Instance consolidation always takes longer and costs more than anticipated:  Recommendation #2: Engage an external agency to thoroughly review the business case and program plans.  Rule #3: Managing a single instance creates more visible expense than managing distributed instances:  Recommendation #3: Budget for increased costs in the data center(s): infrastructure costs and management overhead alike. Gartner, Oct 2009 17 ©2010 Black Watch Data
  • 19. What Sets Us Apart? THE “SECRET SAUCE” 18 ©2010 Black Watch Data
  • 20. Purpose Built  Natural language rule engine  Proactive Data/Business Rule Validation & Enforcement at data entry  Passive data/business rule validation & enforcement  First system designed with Data Management Organization in mind. Provide “Line of sight” from Policies to Rules to Enforcement/Compliance  Enterprise / multi-platform thesaurus and data dictionary  “System of Record” can be at the field level. This allows better enterprise data normalization, rationalization, synchronization and field level security  Deployment options: SaaS or on-premise  “Mass Change” - correct large quantities of data at once – with the appropriate workflow approvals and audit logs 19 ©2010 Black Watch Data
  • 21. Platform for the Future  Version 2.0 (April) – In ramp-up – Client going live mid-April  Version 2.1 (Sept) – Acquisition Integration Platform – Variant Configuration with Natural Language – Mass Upload / Create – Collaboration and additional workflow – Additional data dictionary entries  SalesForce.com  Siebel  Oracle Financials  PeopleSoft  JDEdwards – Additional languages  Spanish, French, German, Portuguese 20 ©2010 Black Watch Data