From Information Management to Information Governance: the New Paradigm
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Enterprise Information Management (EIM): the Hidden Secret to Peak Business Performance
Enterprise Information Management (EIM): The Hidden Secret to Peak Business Performance A White Paper by Vincent Lam and JT Taylor Table of Contents 1 EIM: What It Is and Why It Matters 1 Customer Service 1 Marketing Opportunities 2 Process Improvement 2 Regulatory Compliance 2 Fraud Detection 3 EIM: The Challenges 3 The Enterprise Information Lifecycle 4 Upstream 4 Instream 5 Downstream 6 Formulating Your EIM Strategy: Key Points to Consider 6 Unlimited Data Access 6 End-to-End Data Management and Quality Control 6 Maximum Flexibility 7 The iWay EIM Suite: True Enterprise-Wide Information Management 7 Unparalleled Data Quality Management 10 Comprehensive Master Data Management 13 The Broadest Information Reach 13 Multiple Levels of Information Latency 13 Laying the Foundation for Critical Information-Integration Initiatives 16 Conclusion EIM: What It Is and Why It Matters Over the past decade, organizations of all types and sizes have experienced significant growth in the volume of business information they generate and maintain. That information and the technology architectures that house it have also become increasingly complex. The Butler Group, a division of Datamonitor, estimates that approximately 80 percent of vital business information is currently stored in unmanaged repositories, making its efficient and effective use a nearly impossible feat. Enterprise information management (EIM) is a strategic business discipline that combines many of the key principles of enterprise integration, business intelligence (BI), and content management to streamline and formalize the activities associated with data storage, access, and handling. Comprehensive EIM initiatives blend processes and technologies to significantly improve the way information is managed and leveraged across a company. -
Project Information Management PROJECT MANAGEMENT for DEVELOPMENT ORGANIZATIONS Project Information Management
pm4dev, 2016 –management for development series © Project Information Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS Project Information Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS A methodology to manage development projects for international humanitarian assistance and relief organizations © PM4DEV 2016 Our eBook is provided free of charge on the condition that it is not copied, modified, published, sold, re-branded, hired out or otherwise distributed for commercial purposes. Please give appropriate citation credit to the authors and to PM4DEV. Feel free to distribute this eBook to any one you like, including peers, managers, and organizations to assist in their project management activities. www.pm4dev.com Project Information Management INTRODUCTION “If you fail to plan, you plan to fail.” “.. A major weakness is the ability of project staff to utilize their logframe for designing a coherent and integrated, overall information system, where a manageable and limited number of feasible information activities are planned, which together will ensure that effective effect and impact level monitoring will occur. It is typical for projects to end up collecting too much rather than too little information. Frequently though, much of this information is not relevant to monitoring the results and impacts for which the project is accountable, and that which is, is not collected sufficiently reliably or regularly. By restricting the number, but improving the quality and reliability of their major information gathering activities, projects will much improve their information systems.” CARE International EDIAIS Case Study Project Information Management Plan Detailed planning is critical to the development of usable, high quality information deliverables that meet the needs of internal and external information users. -
Information Management Strategy I Table of Contents
information management strategy i Table of Contents 02 Message from the DM 03 Strategic Alignment 04 The Vision 05 Executive Summary 06 Introduction WHAT IS INFORMATION? WHAT IS INFORMATION MANAGEMENT? WHY IS INFORMATION MANAGEMENT IMPORTANT FOR THE GOA? 08 Business Drivers 11 Strategic Goals GOAL ONE. GOAL TWO. GOAL THREE. 14 Moving Forward 15 Acknowledgements 16 Glossary Message from the DM Service Alberta is focused on working collaboratively to foster an open, transparent, accountable and participatory government. We recognize that information, along with people, finances and infrastructure, are key strategic resources in the Government of Alberta, and are at the very core of our operations. Service delivery activities, decision-making, policy development and planning activities are all founded on information. The quality, reliability and integrity of information are critical to good-decision making in the government. Proper management of information will transform the delivery of program and service outcomes, protecting Albertans from information security and privacy risks. This will help ensure that the needs of Albertans are met through efficient and effective operations. The Information Management Strategy creates the foundation we need to continually improve, transform and increase information sharing, accountability and transparency in the government. It articulates a clear vision with three goals that address key business drivers, and works toward promoting effective and innovative information management practices within the -
The Impact of Information Technology on Supply Chain Performance: a Knowledge Management Perspective
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by The University of North Carolina at Greensboro THE IMPACT OF INFORMATION TECHNOLOGY ON SUPPLY CHAIN PERFORMANCE: A KNOWLEDGE MANAGEMENT PERSPECTIVE by Yuan Niu A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology Charlotte 2010 Approved by: _______________________________ Dr. Chandrasekar Subramaniam _______________________________ Dr. Antonis Stylianou _______________________________ Dr. Sungjune Park _______________________________ Dr. Arun Rai _______________________________ Dr. Thomas Stevenson ii © 2010 Yuan Niu ALL RIGHTS RESERVED iii ABSTRACT YUAN NIU. The impact of information technology on supply chain performance: a knowledge management perspective (Under direction of DR. CHANDRASEKAR SUBRAMANIAM AND DR. ANTONIS STYLIANOU) Supply chain management has become an increasingly important management tool to help organizations improve their business operations. Although information and communication technologies have been used extensively in supply chains, there is a lack of systematic evidence regarding the mechanisms through which IT creates value. Furthermore, as supply chain objectives are going beyond operational efficiency towards pursuing higher-order goals, such as understanding the market dynamics and discovering new partnering arrangements to provide greater customer value, the capabilities -
Data Governance with Oracle
Data Governance with Oracle Defining and Implementing a Pragmatic Data Governance Process with Oracle Metadata Management and Oracle Data Quality Solutions ORACLE WHITE P A P E R | SEPTEMBER 2015 Disclaimer The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. DATA GOVERNANCE WITH ORACLE Table of Contents Disclaimer 1 Introduction 1 First Define the Business Problem 2 Identify Executive Sponsor 3 Manage Glossary of Business Terms 4 Identify Critical Data Elements 4 Classify Data from an Information Security Perspective 5 Manage Business Rules 6 Manage Allowable Values for Business Terms 7 Support for Data Lineage and Impact Analysis 8 Manage Data Stewardship Workflows 10 Govern Big Data 11 Manage Data Quality Rules 12 Execute Data Quality Rules 12 View Data Quality Dashboard 16 Data Quality Remediation 16 Data Privacy and Security 17 Ingredients for Data Governance Success 17 Governance with Any Enterprise System 19 Align with Other Oracle Solutions 20 About the Author 22 DATA GOVERNANCE WITH ORACLE . DATA GOVERNANCE WITH ORACLE Introduction Data governance is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. Data governance programs have traditionally been focused on people and process. In this whitepaper, we will discuss how key data governance capabilities are enabled by Oracle Enterprise Metadata Manager (OEMM) and Oracle Enterprise Data Quality (EDQ). -
Information Management Strategy
Information Management Strategy July 2012 Contents Executive summary 6 Introduction 9 Corporate context 10 Objective one: An appropriate IM structure 11 Objective two: An effective policy framework 13 Objective three: Excellence in records and document management 15 Objective four: Changing the culture through communication and training with 18 effective monitoring and performance management June 2012 Action Plan to Best in Class Information Management 20 Croydon’s information management strategy 3 4 Croydon’s information management strategy Foreword by the chief executive There are practical business There are clear links between information reasons for having an management and performance management. information management This ranges from how we measure our strategy. Better information organisational performance right the way through management will create to our individual performance, through PDCS. efficiencies in accommodation, IT and This means that it is everyone’s responsibility in better use of its staff by the organisation to ensure that information is providing ready access to managed effectively. We have a duty of care to relevant information and the storage or our customers in ensuring that information is destruction of irrelevant information. handled in the best way possible and this strategy sets out how we intend to further improve This will, in turn, lead to a better service provided information management. to residents and other service users. It is up to every single one of us to help ensure the Increasingly our services are provided in success of this strategy. collaboration with a range of partners from all sectors. The effective and efficient provision of these services requires that information passes between organisations in a timely and appropriate manner. -
Privacy in Data Sharing: a Guide for Business and Government
November 2018 Privacy in Data Sharing: A Guide for Business and Government An ACS White Paper About the editor Dr Ian Oppermann, FACS CP Ian is the NSW Chief Data Scientist, CEO of NSW Data Analytics Centre and ACS Vice President of Academic Boards. He has over 25 years’ experience in the ICT sector and has led organisations with more than 300 people, delivering products and outcomes that have impacted hundreds of millions of people globally. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then Divisional Chief and Flagship Director at CSIRO. Ian is considered a thought leader in the area of the Digital Economy and is a regular speaker on big data, broadband-enabled services and the impact of technology on society. Ian has an MBA from the University of London and a Doctor of Philosophy in Mobile Telecommunications from Sydney University. Many people came together to make this report a reality. We’d like to give thanks to the following organisations for their assistance and input. 2 Foreword One immutable truth of the digital age is that the data of our citizens is being gathered, shared and analysed at a scale we’ve never seen before. The ubiquity of social media, mobile applications, on-demand streaming services, online shopping and payment systems means that all businesses, old and new, have become both conduits and custodians of consumer data. The value of shared and open data is immense – up to $25 billion per year in Australia according to the 2016 Commonwealth Government report Open government data and why it matters. -
Information Governance Comes of Age How to Take Back Control of Your Enterprise Data Business White Paper Page 2
Business white paper Information Governance comes of age How to take back control of your enterprise data Business white paper Page 2 Once considered a problem that was too complex and expensive to solve, Information Governance is experiencing a rebirth. As escalating volumes and greater requirements on data are fueling demand, new solutions are emerging that allow organizations to balance short-term needs with a long-term governance strategy. Taking back control of enterprise data Table of contents The need to govern enterprise data is not new. Virtually every organization has too much data 2 Taking back control of enterprise data to manage and has long aspired to place better controls on this information. But there are three 3 Why govern information? forces at work that are now driving Information Governance from a back room problem to a hot 4 Why traditional Information Governance topic in boardroom discussions: approaches fall short 4 A contemporary approach to Information 1. The information challenge is getting worse—Not only is the volume of enterprise Governance data growing 40 percent per year1 but it also is now being stored and accessed almost 5 HPE’s Information Governance portfolio everywhere. An increasingly mobile workforce using multiple devices to access data is 6 Getting started forcing organizations to react and deliver better access—from all places and at all times. 7 Conclusion This, combined with increased regulations and requirements on data, is escalating the problem and driving up risk and cost. 8 About HPE Software -
Making Technology Fit: Designing an Information Management System for Monitoring Social Protection Programmes in St
Making Technology Fit: Designing an Information Management System for Monitoring Social Protection Programmes in St. Kitts Kristina Pitula, Daniel Sinnig and T. Radhakrishnan Faculty of Engineering and Computer Science, Concordia University, Montreal Abstract This paper reports on the development of an Information Management System to monitor and plan social protection programmes for the St. Kitts’ Department of Social Work. Best practices for the design of such technologies require special consideration of users’ needs; in the case of St. Kitts, this included meeting the constraints of the small island environment. The collaborative process between the software developers and users, wherein users explain what they need and the software is designed accordingly, was complicated by the existence of a disconnect between users’ work practices and those supported by the proposed system. The challenge was thus to design a viable and sustainable information management system (IMS) relevant to the users’ work, and responsive to local constraints. The project revealed cultural differences between department workers and software developers. It suggested new methodologies for assessing user needs, eliciting their preferences, and building their capacity in electronic recordkeeping. It also highlighted the need to develop communication strategies for both clients and developers of technology. The lessons learnt have implications for improved practice when introducing IMS technologies into work contexts in microstates where they are currently not used. 1. Introduction In their continuing effort to find innovative strategies to maximize social and human capital, small island developing states (SIDS) have turned to the use of information and communication technology (ICT) to overcome the restraints posed by isolation, diseconomies of scale, and other limited resources (Atchoarena et al., 2008; Hage & Finsterbusch, 1987). -
Information Management Planning (Pdf)
G Information ii Management Information Management Planning March 2005 Discussion Draft Produced by Information Management Branch Open Government Service Alberta 3rd Floor, Commerce Place 10155 – 102 Street Edmonton, Alberta, Canada T5J 4L4 Office Phone: (780) 427-3884 Fax: (780) 422-0818 Website: www.alberta.ca/information-management-branch.aspx Email: [email protected] ©Government of Alberta ISBN 0-7785-3694-7 Information Management Planning Contents Contents .................................................................................... i 1. Introduction ......................................................................... 1 The need for information management planning ............................................. 1 Context and scope of the plan ...................................................................... 3 Developing the plan .................................................................................... 5 2. Establish Planning Team....................................................... 8 Objective ................................................................................................... 8 Who to involve ........................................................................................... 8 Activities ................................................................................................... 9 Checklist ................................................................................................. 10 3. Define Vision and Future State .......................................... -
Information Governance: the Next Evolution of Privacy and Security
Information Governance: The Next Evolution of Privacy and Security Kathy Downing, MA, RHIA, CHPS, PMP Sr. Director Information Governance AHIMA IGAdvisors™ www.IGIQ.com Twitter: HIPAAqueen #IGNOW © 2015 Objectives • Define information governance and discuss how it is used across industries • Outline how the IG Principles of Compliance and Information Protection lay a framework for enterprise wide information governance • Define how security and privacy officers transform into Chief Information Governance Officers © 2015 2015 2015 IGI Annual Report IGI Annual Report 2015 is available at: www.Iginitiative.com © 2015 2015 Why Information Governance is Important IG Principles For Healthcare (IGPHC) Accountability Transparency Integrity Protection Compliance Availability Retention Disposition © 2015 2015 What Will Trust in Our Information Enable? © 2015 2015 2015 IGI Annual Report IGI Annual Report 2015 is available at: www.iginiative.com © 2015 2015 Information Governance for Healthcare AHIMA Definition An organization-wide framework for managing information throughout its lifecycle and for supporting the organization’s strategy, operations, regulatory, legal, risk, and environmental requirements. © 2015 2015 Information Governance for Healthcare 1 ALL TYPES— 4 ORGANIZATION‐WIDE ORGANIZATION 2 3 ALL TYPES—INFO ALL MEDIA © 2015 2015 IG Adoption – Findings AHIMA Survey Capgemini Survey • 1260 Survey respondents, all • 1000 Survey respondents, healthcare, predominantly US 9 industries, 10 countries • 44% Have established IG oversight bodies -
Information Governance
Information Governance Current situation analysis and implementation strategy 2014 1 1. Introduction Starting from 2012, the development of Estonian public sector services and electronic records management is coordinated by the Ministry of Economic Affairs and Communications (hereinafter MEAC). The first important document developed was the "Green Paper on the Organisation of Public Services" (hereinafter GPOPS)1 that was approved by the Government of the Republic on 16 May 2013. The need to direct the course from records management to information governance was articulated in GPOPS because the administration procedures have hitherto not been sufficiently effective nor supported the development of services. There is a lot of duplication of activities, copying of the logic of the paper world, and manual work; at the same time it is difficult to find and use the necessary information fast. Records management is primarily associated with records in the form of paper or computer file and their management in the so-called records management system. At the same time, nowadays, records are created, processed and managed also in other information systems and environments, whereas such records differ significantly from traditional records. It was emphasised in GPOPS that in the information governance, all information systems and environments (including social media) where information is created and where records2 are processed or made available are taken into account. In June 2013, the records management, ICT and archiving specialists analysed the needs the records management has not been able to meet, and why it is so. The base concept of information governance was compiled and it was delivered to the Records Management Board3.