1 Data Governance Best Practices Rebecca Bolnick Chief Data Officer Maya Vidhyadharan Data Governance Manager Arizona Department of Education
2 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?
3 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?
4 What is Data Governance? Data Governance: An organizational approach to data management, formalized as a set of policies and procedures that encompass the full life cycle of data
5 What is Data Governance? Tools, policies and processes to: Improve data quality and reduce data redundancy Protect sensitive data Ensure data and IT compliance with federal and state regulations Encourage use of data, correctly Platform for robust data analytics
6 In a World without Data Governance Has this ever happened to you? Funding denied due to erroneous data Lost instructional time because of late data Letter Grade negatively impacted because of enrollment error Time wasted cleaning up the same data issues year after year
7 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?
8 The Pillars of Data Governance Data Governance Measure Results of Data Governance Information Lifecycle Management Master Data Management Data-Driven Decisions Metadata Management Data Quality Data Privacy and Security
9 Governance Pillars: Data Quality Data quality is about having data that is fit for purpose. Benefits Accuracy in reporting and business decisions Time and cost savings by removing redundant data storage and reduced time spent on manual data reconciliation Build trust in your data
10 Governance Pillars: Metadata Metadata is data about the data. Business data glossary Technical data dictionary Operational Data Dictionary Data lineage
11 Governance Pillars: Metadata Benefits Consistent understanding of data definitions Traceability of data transformations Reduced data redundancy Save time and effort of tracking down data or reconciling duplicated data Ability to identify ahead of time possible consequences and impacts of any changes to processes, storage, applications or reports.
12 Governance Pillars: Masterdata Management BEFORE AFTER Registrar Acad. Coaches Finance Registrar Acad. Coaches Finance Masterdata
13 Governance Pillars: Masterdata Management Masterdata The critical data used across the organization by multiple divisions Masterdata management Process and policies to achieve consistent master data, which is managed centrally Benefits Single source of all Masterdata, managed centrally and disseminated
14 Governance Pillars: Data Analytics -Data analytics is the tools and processes for data discovery to improve business outcome. Analytics is the discovery and communication of meaningful patterns in data. -Analytics Governance is the setting of policies and procedures to better align users with the investments in analytic infrastructure. Benefits Cost saving in analytics (system and people) Improved system performance of Production servers Data consistency across business divisions Improved business decisions
15 Governance Pillars: Privacy and Security Data privacy ensures legal expectation and public expectation of data is met from its creation to archival. Data security protects the data from data loss and data corruption Benefits -Data Privacy and Data Security ensures valuable data is protected from misuse and loss
16 Governance Pillars: Information Lifecycle Management A systematic, policy-based approach to data collection, use, retention, and deletion. Benefits Improved timeliness in reporting Improved system performance through the process of archiving unused data
17 Key Issues 1. What is Data Governance and why is it important? 2. What are the key concepts of Data Governance and Best Practices you need to know? 3. What are some steps you can take to create a successful Data Governance strategy?
18 Easy Data Governance Approach Conduct Governance Maturity Assessment Create a roadmap for areas needing improvement Implement Data Governance Committees Kickstart workgroups in all Governance Pillars Measure Governance benefits and improve
19 Step 1: Governance Maturity Evaluation Evaluate where your organization is, and where you want to be Identify areas of weakness, pressure points, or strengths that can be built upon
20 Gartner Governance Maturity Model
21 Governance Maturity Exercise 10 minutes
22 Step 2: Create a Roadmap How to go from your current level of maturity to where you want to be Use results of Maturity Assessment to identify critical needs Move on to step 3 and have Data Governance committees develop roadmap
23 Step 3: Data Governance Committee Structure Executive Council (Strategic) Data Governance Board (Strategic) Data Steward Committee (Tactical) E S C A L L A T I O N S T R A T E G Y
24 Data Governance Committees Roles and Responsibilities Data Governance Executive Council Level of Focus Who? High, Strategic Senior leadership Roles Champion data governance Provide guidance on tools, policy and processes Sponsor, approve and champion the governance goals in all pillars Communicate expectation and requirements in data governance Address and resolve escalated issues Provide incentives and impetus for data decision making
25 Data Governance Committees Roles and Responsibilities Data Governance Board Level of Focus Middle, Strategic Who? Management with authority to assign work and make process, policy decisions Roles Creates and approves policies, processes and tools and define standards to meet Governance goals May initiate or select tools, policies and processes Prioritizes Governance works in all pillars Assigns Governance work Address and resolve issues escalated to this level Participate in workgroups in pillars Meet regularly to address data issues
26 Data Governance Committees Roles and Responsibilities Data Stewards Committee Level of Focus Who? Detailed, Tactical Data owners, data managers, or data analysts who implement, work with or enter data Roles Lead and organize workgroups for addressing continuous improvement projects in each Governance Pillar Conduct data training Suggest policies, business rules, processes for each Governance Pillar, to the Data Governance Board Participate in tool selection processes Communicate concerns, issues, and problems with data to the individuals who can influence change.
27 Step 4: Workgroups in Pillars Based on decision by Data Governance Committees, spin up workgroups to address critical need areas Tips for focus areas: Quick wins Pressure points Highest Risks
28 Data Quality Workgroup Suggestions 1. Evaluate data for: a) Accuracy b) Uniqueness or duplication c) Consistency d) Conformed to standards e) Timeliness 2. Conduct Data Profiling using a robust data profiling tool 3. Set up continuous improvement projects to bridge the gap between current state and desired state. 4. Make changes to avoid using data that is not meeting the accuracy standards as determined by the Governance Committee
29 Data Analytics Workgroup Suggestions How many reports do we create, in what areas, and how often? How long does it take to produce each report? What is the time/cost of producing a new report? Are there canned reports we could create to serve multiple purposes? Something to Consider: Business Intelligence Competency Center (BICC) to educate users, evangelize business intelligence, and develop reports. Having a robust Data Warehouse becomes a key deliverable.
30 Data Privacy and Security Workgroup Suggestions Where is our sensitive data? Has the organization masked its sensitive data in production and non-production environments (development, testing, and training) to comply with privacy regulations? Are database audit controls in place to prevent privileged users, such as DBAs, from accessing private data, such as employee salaries? Set policy and processes to protect sensitive data.
31 Information Lifecycle Workgroup Suggestions What is our policy regarding digitizing paper documents? Identify critical documents and set policy to store in proper systems. What is our data archival strategy in all databases and applications? How do we archive structured data (data in databases) to reduce storage costs and improve performance? Something to consider: Store all archive data ion a separate machine so the existing production servers are freed up. This eliminates the lengthy process of data restoration from tapes.
32 Metadata Management Workgroup Suggestions Create a data dictionary Chief Data Stewards and teams to develop and maintain key business terms. Identify critical data elements. Link business terms with technical artifacts. (e.g., Vendor refers to the Supplier table in XYZ database). Tag each business term with its definition, alias/synonyms/homonyms, link to related business terms, Data Steward/Owner, business policy, privacy and security indicators Create technical data dictionary, led by the Chief Data Stewards Create operational metadata Whether the job run failed or had warnings Which database tables or files were read from, written to, or referenced How many rows were read, written to, or referenced When the job started and finished Something to consider: Make this central Metadata repository of Business glossary, technical data dictionary, operational data dictionary easily queryable and available to all users. A good Metadata tool is a great investment for this.
33 Masterdata Management Workgroup Suggestions Identify all your Masterdata What is the single version of truth for each master data, its attributes and relationships between data entities? Determine what changes in history will be captured (versioning) Identify what databases and applications currently or should pull from this central source so there is data consistency across systems in naming, relationships and values.
34 Conclusions and Wrap-Up
35 Risks and Pitfalls to Avoid Lack of interest or knowledge Disinterested or disengaged executive sponsorship Members of the data governance council who don't care Resistance to change Ignorance about data governance Getting everyone on the same bus Limited authority/power of the data governance council Poor communications through the organizational hierarchy Taking the right approach Scope is too wide ("big bang") or too narrow Piecemeal execution without a clear road map and defined release cycles Not showing the value No measurable deliverables Lack of or a poor reporting framework Low value due to incorrect priorities
36 Recommendations Things you should do: Obtain solid leadership sponsorship Tie benefits to real goals Obtain stakeholder buy-in Focus on governance and process Continuous improvement Things to Avoid: Lack of shared vision and commitment Viewed purely as an IT effort Separate data quality efforts Weak or disjointed metrics Don t boil the ocean Technical goals masquerading as business goals
37 Putting it into Action Monday Morning Identify your champions Conduct maturity assessment to identify critical needs Develop your roadmap Next 90 Days Form workgroups to focus on your organization s top 3 critical data governance needs Establish a system to measure the benefits of data governance (e.g. time savings, number of duplicates or errors) Next 12 Months Reevaluate maturity Measure and communicate benefits and successes of governance across the organization Evolve your strategy to address new issues or tackle the next in line
38 Recommended Resources PTAC Data governance checklist EdFacts data collection process www2.ed.gov/about/inits/ed/edfacts IBM Data Governance Unified Process by Sunil Soares
39 Thank You Rebecca Bolnick Chief Data Officer Maya Vidhyadharan Data Governance Manager
Data Governance: Privacy, Security, Records Retention and More Rebecca Bolnick ADE Chief Data Officer ASCUS Student and Finance Meeting 11/21/2014 Key Issues 1. What is Data Governance and why is it important?
Big Data Governance ISACA Chapter Annual Conference Sarova Whitesands Hotel, Mombasa 29th - 31st July, 2015 Prof. Ddembe Williams KCA University Presentation Overview 1. What is Data Governance and why
University of Michigan Medical School Data Governance Council Charter 1 Table of Contents 1.0 SIGNATURE PAGE 2.0 REVISION HISTORY 3.0 PURPOSE OF DOCUMENT 4.0 DATA GOVERNANCE PROGRAM FOUNDATIONAL ELEMENTS
Information Governance Workshop David Zanotta, Ph.D. Vice President, Global Data Management & Governance - PMO Recognition of Information Governance in Industry Research firms have begun to recognize the
DATA GOVERNANCE Enterprise Data Governance Strategies and Approaches for Implementing a Multi-Domain Data Governance Model Mark Allen Sr. Consultant, Enterprise Data Governance WellPoint, Inc. 1 Introduction:
Data Governance Overview Anthony Chalker Managing Director August 12, 2014 2:05 2:55 Session What is Data Governance? Data Governance is the specification of decision rights and an accountability framework
The Promise of the CMDB The Configuration Management Database (CMDB) provides a common trusted source for all IT data used by the business and promises to improve IT operational efficiency and increase
GOVERNANCE DEFINED Governance is the practice of making enterprise-wide decisions regarding an organization s informational assets and artifacts Governance over the use of technology assets can be seen
Explore the Possibilities 2013 HR Service Delivery Forum Best Practices in Data Management: Creating a Sustainable and Robust Repository for Reporting and Insights 2013 Towers Watson. All rights reserved.
Make information work to your advantage. Help reduce operating costs, respond to competitive pressures, and improve collaboration. May 2011 Advisory Consulting Table of contents Transform data from a hindrance
Implementing a Data Governance Initiative Presented by: Linda A. Montemayor, Technical Director AT&T Agenda AT&T Business Alliance Data Governance Framework Data Governance Solutions: o Metadata Management
Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff The Challenge IT Executives are challenged with issues around data, compliancy, regulation and making confident decisions on their business
Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Bruce Eckert, National Practice Director, Advisory Group Ramesh Sakiri, Executive Consultant, Healthcare
Financial Services the way we see it Data Governance for Financial Institutions Drivers and metrics to help banks, insurance companies and investment firms build and sustain data governance Table of Contents
Fortune 500 Medical Devices Company Addresses Unique Device Identification New FDA regulation was driver for new data governance and technology strategies that could be leveraged for enterprise-wide benefit
Business Analysis Standardization & Maturity Contact Us: 210.399.4240 firstname.lastname@example.org Copyright 2014 Enfocus Solutions Inc. Enfocus Requirements Suite is a trademark of Enfocus Solutions Inc.
Advisory Consulting Make information work to your advantage.* Help reduce operating costs, respond to competitive pressures, and improve collaboration. pwc.com *connectedthinking (Year) PwC copyright statement
OPTIMUS SBR CHOICE TOOLS. PRECISION AIM. BOLD ATTITUDE. Optimizing Results with Business Intelligence Governance This paper investigates the importance of establishing a robust Business Intelligence (BI)
Breaking Down the Silos: A 21st Century Approach to Information Governance May 2015 Introduction With the spotlight on data breaches and privacy, organizations are increasing their focus on information
STATS-DC 2012 Data Conference July 12, 2012 Washington State s Use of the IBM Data Governance Unified Process Best Practices Bill Huennekens Washington State Office of Superintendent of Public Instruction,
Data Governance Unlocking Value and Controlling Risk 1 White Paper Data Governance Table of contents Introduction... 3 Data Governance Program Goals in light of Privacy... 4 Data Governance Program Pillars...
MIPRO s Business Intelligence Manifesto: Six Requirements for an Effective BI Deployment Contents Executive Summary Requirement #1: Execute Dashboards Effectively Requirement #2: Understand the BI Maturity
Service Offering Data Governance Baseline Deployment Overview Benefits Increase the value of data by enabling top business imperatives. Reduce IT costs of maintaining data. Transform Informatica Platform
NERCOM, Wesleyan University DATA GOVERNANCE AND INSTITUTIONAL BUSINESS INTELLIGENCE WORKSHOP ORA FISH, EXECUTIVE DIRECTOR PROGRAM SERVICES OFFICE NEW YORK UNIVERSITY Data Governance Personal Journey Two
DATA GOVERNANCE AND DATA QUALITY Kevin Lewis Partner Enterprise Management COE Barb Swartz Account Manager Teradata Government Systems Objectives of the Presentation Show that Governance and Quality are
Business Performance & Data Quality Metrics David Loshin Knowledge Integrity, Inc. email@example.com (301) 754-6350 1 Does Data Integrity Imply Business Value? Assumption: improved data quality,
Data Management Maturity Model Overview UPMC Center of Excellence Pittsburgh Jul 29, 2013 Data Management Maturity Model - Background A broad framework encompassing foundational data management capabilities,
Welcome to the Data Analytics Toolkit PowerPoint presentation on data governance. The complexity of healthcare delivery, the exploding demand for actionable information, pressure for greater public accountability,
Enterprise Data Sharing: Architecture approach and its evolution with Big Data Presented by Gene Boomer CNO Financial Group History: Company Information CNO was incorporated in 1979, began operations in
Building a Successful Data Quality Management Program WHITE PAPER Table of Contents Introduction... 2 DQM within Enterprise Information Management... 3 What is DQM?... 3 The Data Quality Cycle... 4 Measurements
Approach Prepared By: Sanjay Seth Data Quality Assessment Approach-Review.doc Page 1 of 15 Introduction Data quality is crucial to the success of Business Intelligence initiatives. Unless data in source
Big Data for Higher Education and Research Growth Hao Wang, Ph.D. Chief Information Officer The State University of New York 8/1/2013 What is Big Data? 8/1/2013 Draft for Discussion 2 Big Data 250 Years
Enabling Data Quality Establishing Master Data Management (MDM) using Business Architecture supported by Information Architecture & Application Architecture (SOA) to enable Data Quality. 1 Background &
The Key Components of a Data Governance Program John R. Talburt, PhD, IQCP University of Arkansas at Little Rock Black Oak Analytics, Inc My Background Currently University of Arkansas at Little Rock Acxiom
Better Data is Everyone s Job! Using Data Governance to Accelerate the Data Driven Organization Intros - Name - Interest / Challenge - Role Data Governance is a Business Function Data governance should
Thinking SharePoint? Think Jornata. SharePoint Governance: Planning, Strategy and Adoption Scott Jamison Managing Partner & CEO Jornata LLC firstname.lastname@example.org About Scott Jamison CEO of Jornata,
WHITE PAPER The Importance of Data Governance in Healthcare By Bill Fleissner; Kamalakar Jasti; Joy Ales, MHA, An Encore Point of View October 2014 BSN, RN; Randy Thomas, FHIMSS AN ENCORE POINT OF VIEW
Data Management Policy Version Information A. Introduction Purpose 1. Outline and articulate the strategy for data management across Redland City Council (RCC). This document will provide direction and
1 BI STRATEGY 3 04 Executive Summary 08 What is a BI Strategy 10 BI Strategy Overview 24 Getting Started 28 How SAP Can Help 33 More Information 5 EXECUTIVE SUMMARY EXECUTIVE SUMMARY TOP 10 BUSINESS PRIORITIES
Data Governance Primer A PPDM Workshop March 2015 Agenda - SETTING THE STAGE - DATA GOVERNANCE BASICS - METHODOLOGY - KEYS TO SUCCESS Copyright 2015 Noah Consulting LLC. All Rights Reserved. Industry Drivers
The Role of the BI Competency Center in Maximizing Organizational Performance Gloria J. Miller Dr. Andreas Eckert MaxMetrics GmbH October 16, 2008 Topics The Role of the BI Competency Center Responsibilites
Building a Data Quality Scorecard for Operational Data Governance A White Paper by David Loshin WHITE PAPER Table of Contents Introduction.... 1 Establishing Business Objectives.... 1 Business Drivers...
DATA GOVERNANCE AT UPMC A Summary of UPMC s Data Governance Program Foundation, Roles, and Services THE CHALLENGE Data Governance is not new work to UPMC. Employees throughout our organization manage data
Enterprise Data Management - The Why/How/Who - The business leader s role in data management Maria Villar, Managing Partner Business Data Leadership Introduction Good Data is necessary for all business
What s a BA to do with Data? Discover and define standard data elements in business terms Susan Block, Program Manager The Vanguard Group Discussion Points Discovering Business Data The Data Administration
Session 0905 ASUG SBOUC Align your Business and IT with a Solid BI Strategy Deepa Sankar Pat Saporito Agenda Business Challenges The Importance of a BI Strategy How SAP Can Help in Defining Your BI Strategy
Enterprise Information Management A Key Business Enabler July 2012 The Vision Auckland Council s vision is for Auckland to become the worlds most liveable city. In order to achieve this vision, it needs
MORE INFORMATION: To learn more about the EMA Service Catalog, please contact the EMA Business Development team at +1.303.543.9500 or email@example.com The IT Service Catalog Aligning
Understanding Today s Economics of Information Get Your Act Together Now! Sylvan Sibito H Morley III IBM Worldwide Director Information Lifecycle Governance Information Economics: The discipline of analyzing
Data Governance: Foundation to Leveraging Data as an Asset Paula J Edwards, Ph.D. Jim Gaddis, MBA, FHIMSS DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do
Whitepaper Sponsored by Written by Info-Tech Research Group Meeting Changing Information Management Needs with Next-Generation Email Archiving Introduction Email archiving is evolving beyond pure storage
EMC PERSPECTIVE Information Management Shared Services Framework Reader ROI Information management shared services can benefit life sciences businesses by improving decision making by increasing organizational
Introduction Data Governance Demystified - Lessons From The Trenches Jay Zaidi, PMP December 11, 2011 Data Governance is gaining importance lately, due to a renewed focus on regulatory compliance and risk
Previews of TDWI course books offer an opportunity to see the quality of our material and help you to select the courses that best fit your needs. The previews cannot be printed. TDWI strives to provide
STRATEGIC INTELLIGENCE WITH BI COMPETENCY CENTER Student Rodica Maria BOGZA, Ph.D. The Bucharest Academy of Economic Studies ABSTRACT The paper is about the strategic impact of BI, the necessity for BI
Information Governance Practice IBM Information Governance Michel Bouma Information Governance Practice Leader Europe Data Stewardship at Social Services Agency Questions from Legislature How many children
Enterprise Aligning Quality With Your Program Presented by: Mark Allen Sr. Consultant, Enterprise WellPoint, Inc. (firstname.lastname@example.org) 1 Introduction: Mark Allen is a senior consultant and enterprise
JOURNAL OF OBJECT TECHNOLOGY Online at www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, November-December 2008 What s Your Information Agenda? Mahesh H. Dodani,
Building Successful Master Data Management Teams The role and importance of partnerships between business and IT in MDM strategy White Paper sponsored by Aligning Business and IT to Improve Performance
BI STRATEGY FRAMEWORK Overview Organizations have been investing and building their information infrastructure and thereby accounting to massive amount of data. Now with the advent of Smart Phones, Social
Agile Master Data Management TM : Data Governance in Action A whitepaper by First San Francisco Partners First San Francisco Partners Whitepaper Executive Summary What do data management, master data management,
EWSolutions Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy Anne Marie Smith, Ph.D. Director of Education, Principal Consultant email@example.com PG 392 2004 Enterprise
SAP Thought Leadership Paper Information Governance Making Information Governance a Reality for Your Organization Maximize the Value of Enterprise Information Table of Contents 6 The Importance of Information
Data Governance Center Positioning Collibra Capabilities & Positioning Data Governance Council: Governance Operating Model Data Governance Organization Roles & Responsibilities Processes & Workflow Asset
Medicaid Enterprise Data Governance Approach MESConference August 21, 2012 Rashmi Menon, Deloitte Consulting LLP Agenda Session Objectives Common Barriers and Key Benefits to Data Governance A Framework
MANAGING CROSS-AGENCY DATA IN TAX COMPLIANCE JIM BLAIR TERADATA SR. CONSULTANT Agenda Defining The Problem Cross Agency Opportunity Governance for Cross Agency Use case Wrap-Up / Q & A 2 Confidential Do
Data governance is a means to define the policies, standards, and data management services to be employed by the organization. Information Management & Data Governance OVERVIEW A thorough Data Governance
Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data IBM Software Group Important Disclaimer THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL
Assessing and implementing a Data Governance program in an organization Executive Summary As companies realize the importance of data and the challenges they face in integrating the data from various sources,
IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE ABOUT THE PRESENTER Marc has been with SAS for 10 years and leads the information management practice for canada. Marc s area of specialty
Brochure More information from http://www.researchandmarkets.com/reports/2293052/ Win with Advanced Business Analytics. Creating Business Value from Your Data. Wiley and SAS Business Series Description:
Role and Skill Descriptions For An ITIL Implementation Project The following skill traits were identified as fairly typical of those needed to execute many of the key activities identified: Customer Relationship
Information Asset Management that Drives Business Performance Jeremy Pritchard 1 The amount of data you have doubles every 12 to 18 months Thomas Redman Data-Driven 1 The average amount of inaccurate data
Institutional Data Governance Policy Vanderbilt University and Medical Center Effective Date: 07/09/2014 Revision Date: N/A DOCUMENT CONTROL Document Title Institutional Data Governance Policy Summary:
BUSINESS INTELLIGENCE COMPETENCY CENTER (BICC) HELPING ORGANIZATIONS EFFECTIVELY MANAGE ENTERPRISE DATA Executive Summary Companies continue to remain challenged in deriving meaningful insights from the
Enterprise Information Management Capability Maturity Survey for Higher Education Institutions Dr. Hébert Díaz-Flores Chief Technology Architect University of California, Berkeley August, 2007 Instructions
SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT Your business intelligence strategy should take into account all sources
From Information Management to Information Governance: The New Paradigm By: Laurie Fischer Overview The explosive growth of information presents management challenges to every organization today. Retaining
US Department of Education Federal Student Aid Integration Leadership Support Contractor June 1, 2007 Draft Enterprise Data Management Data Policies Final i Executive Summary This document defines data
A Holistic Framework for Enterprise Data Management DAMA NCR Deborah L. Brooks March 13, 2007 Agenda What is Enterprise Data Management? Why an EDM Framework? EDM High-Level Framework EDM Framework Components
Government Business Intelligence (BI): Solving Your Top 5 Reporting Challenges Creating One Version of the Truth Enabling Information Self-Service Creating Meaningful Data Rollups for Users Effortlessly
Begin Your BI Journey As part of long-term strategy, healthcare entities seek opportunities for continuous improvement in order to meet the changing needs of their patients while also maintaining compliance
Data Governance: From theory to practice Zeeman van der Merwe Manager: Information Integrity and Analysis, ACC Zeeman.vanderMerwe@Acc.co.nz 2010 SUNZ Conference 16 February 2010 Why Data Governance? Why