Data Governance Kari Hiekkanen 29.3.2018 CS-E5340 Introduction to Industrial Internet Industrial Internet & Big Data (IDC Data Age 2025, April 2017) 1
Industrial Internet & Big Data (Statista, 2017) Data / Information Governance Data Governance: The execution and enforcement of authority over the management of data and data-related resources - Formalizing behavior around the definition, production and usage of data to manage risk and improve quality and usability of selected data. Data Ownership & Stewardship: The formalization of accountability over the management of data and data-related resources - Formalizing and guiding the behavior over the definition, production and use of information and information related assets. 2
Data / Information Governance The practice of applying: formal accountability through roles & responsibilities to existing operational & analytical processes to assure that the definition, production & usage of data consistently provides quality, compliance, security & risk management to assure management of valuable assets. Goals: Transparent Supportive Collaborative II & Data Governance Vast networks of industry-specific data collection sensors and tools à flood of new data Generating actionable insights with Big Data analytics real-time Integrating legacy data from PDM/PLM, ERP, CRM, SCM, Organizations are already data rich, information poor Services are build on intelligent use of data DG becoming more complicated Data Ownership Master Data Management Data Quality Data Lifecycle Data Protection & Security; privacy, trust, compliance, forensics Legal considerations, IPR Metadata management New Business Models New Services Product Improvement Predictive Maintenance Process Control Data 3
Data Governance & Management Development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets (DMBOK, Dama Internetional) Data Governance & Management Policies Standards Guidelines Requirements Guiding Principles Business Rules Data Quality Rules Data Usage Rules Data Access Rules Golden Copy designations à a.k.a MDM System of Records designations 4
Data Governance Simplified Data Governance Policies, processes, roles and responsibilities to manage the data Data Quality Ensuring correctness, completeness, timelyness and validity of data Data Standards Definition of content, structure, meaning and usage of data Industrial Data Space IDS 5
Industrial Data Space IDS ( IDS, 2017) IDS Architecture Business Layer / Roles Data owner, provider, consumer Broker Service, Clearing House Services: Indentity, App & App Store Vocabulary, Software Dev. App Ecosystem Data App Dev & Provision Process Layer Data provision, exchange Publishing & using data & apps Functional Layer Trust & Security, Governance Connectors; Data Exchange, Data Processing & Transformation Vocabulary & Metadata Identity Management Clearing House 3 rd Party Logging, Audit Trails Information Layer Laitoksen nimi 3.4.2018 12 6
Governance Summarized Establising Data Governance is about defining who owns the data, who has the right to access it, where and how the data is stored, and what are the compliance, privacy, security, and other risk factors associated with the data. Ensuring Data Quality is a must! Effective Data Management requires the right data management tools for capturing, cleaning, analysing, and using the data, and integrate them seamlessly with legacy systems. New skills, processes and frameworks are needed in big data storage, analytics and management THANK YOU! 7