Data Governance People & Processes Supported by Technology

Transcription

1 Data Governance People & Processes Supported by Technology Larisa Vladinova Adastra Bulgaria Georgi Ganev IBM Bulgaria 18 th Finance Tech Forum 14 April 2016, Sofia 1

2 Data Governance Overview Data Governance (DG) is: A way of doing work Policies, processes and people Data as a corporate asset that needs proper care Focused on critical for business success A persistent, ongoing program Stable funding, resources and mandate Competencies: Data Quality, Metadata Management, MDM/RDM A business function Separate business unit: DG CoC (Center of Competence), DG CoE (Center of Excellence) Additional engagement of business departments staff (Finance, Legal, IT, Corporate Services, etc.) Adastra s Data Governance Credo: Business-owned, centered on establishing accountabilities, integrated with operations in order to attain business-relevant results. 2

3 Why do companies invest in DG? DG s Raison d etre Regulatory Compliance Banks report to regulators on their risk exposure Regulators may ask how do we know we can trust your data? Privacy & security concerns Data quality and understandability may be pain points with major business impact Massive costly inefficiencies in report preparation and reconciliation Problems in interpreting data if data definitions are unclear or missing, business units cannot speak the same language Inability to understand the business s performance Revenue growth & market shares Achieve customer intimacy, i.e. to understand individual preferences and get insight into customer behaviour With its focus on carefully managing data quality and interpretation, DG is a way to solve these pain points. 3

4 Conceptual aspects of DG Adastra DG Logical Framework Executive Sponsorship & Strategic Alignment Data Governance Organization Enablers Roles & Accountabilities Related Disciplines PMO BPM HR Internal Audit Competencies Business Processes Execution Technological Solutions DG Processes Risk Mgmt Compliance IT Enterprise Architecture Support Services R&D 4

5 Data Governance Program Development Pillars Value Proposition Develop & define enterprise (sponsor s) vision & objectives for DG Identify & define known issues / anticipated benefits Define value proposition and DG alignment with enterprise strategy Discovery & Scoping Capture & define current state: organization, systems, data domains. Understand pain-points. Define DG scope for each. Maturity assessment; create inventory of capability (collateral). Define & prioritize DG areas of interest & major functions Organization Design Define DG organization structure, interfaces, roles & responsibilities. Develop communications plan. Set priorities & establish roadmap with near, medium, long-term milestones Implementation Support Assign roles to staff. Staff to develop implementation plan, or select a project to serve as a DG kick-off Establish policies, processes, procedures, & communications Monitor, assess, refine plan expansion 5

6 People & Processes Supported by Technology CEO Commercial Lines Commercial Lines Personal Lines Personal Lines DA Claims & Legal Claims & Legal SA IT CIO IT EA Dev Actuarial IT - PMO QA Product Development Product Development Mgr BA OS Business Unit OS Business Unit Marketing & Sales Marketing & Sales Finance CFO Finance Brokers Brokers Organization & Staffing Roles (Ownership & Accountability) Policy, Process, Communication Politics Monitor and Report Data Quality Master Data Management Understand Data Assets Improve Data Quality Measure Data Quality Processes - Properly defined & applied - Unite Business & IT operations in pursuit of your DG objectives Business + IT 6

7 Complexity, Volume and Variety Can Lower Confidence Am I confident in the data used for this analysis? Is this data good enough to use? Which data are correct? Am I protecting sensitive data? Do I have the right context? Do I understand the risk of using this data as is? Chief Marketing Officer Chief Data Officer 7

8 Information Governance Delivers Confidence in Analytics Find It - Integrate all sources to leverage all data Secure It Protect all data and maintain privacy Trust It Calculate and improve confidence 8

9 DG added value for customers Regulatory compliance e.g. BCBS239 Discover relationships across all data sources Understand all sources of data with centralized metadata Visualize and explore data lineage Define a common business glossary and report catalogue 9

10 IBM Data Governance Catalogue A web based tool for business users that enables: - Management of policies, rules and process - Creation and management of vocabulary and business taxonomy - Collaborative authoring of business metadata - Predefined Dashboard related to quality and - Catalogue and reports management 10

11 Main benefits of IBM Governance Catalogue Aligns the efforts of IT with the goals of the business Consolidated and single view of enterprise wide business information Establishes responsibility and accountability in accordance with data governance policies Provides business context to information technology assets Increased trust and acceptance of information by delivering definitions in context Expanded adoption of enterprise glossary outside of Information Platform technologies 11

12 Thank You ADASTRA Bulgaria 38B Cherni Vrah Blvd. 2 Dunav Str Sofia, Bulgaria 9000 Varna, Bulgaria Tel: Tel: infobg@adastragrp.com IBM Bulgaria 36 Dragan Tsankov blvd Sofia, Bulgaria Tel: georgiganev@bg.ibm.com 12