Ajith Kumar Parlikad – författare

How well does your organization manage the risks associated with information quality? Managing information risk is becoming a top priority on the organizational agenda. The increasing sophistication of IT capabilities along with the constantly changing dynamics of global competition are forcing businesses to make use of their information more effectively. Information is becoming a core resource and asset for all organizations; however, it also brings many potential risks to an organization, from strategic, operational, financial, compliance, and environmental to societal. If you continue to struggle to understand and measure how information and its quality affects your business, this book is for you. This reference is in direct response to the new challenges that all managers have to face. Our process helps your organization to understand the "pain points" regarding poor data and information quality so you can concentrate on problems that have a high impact on core business objectives. This book provides you with all the fundamental concepts, guidelines and tools to ensure core business information is identified, protected and used effectively, and written in a language that is clear and easy to understand for non-technical managers.

Shows how to manage information risk using a holistic approach by examining information from all sources Offers varied perspectives of an author team that brings together academics, practitioners and researchers (both technical and managerial) to provide a comprehensive guide Provides real-life case studies with practical insight into the management of information risk and offers a basis for broader discussion among managers and practitioners

Whole-Life Value-Based Decision-Making in Asset Management is a comprehensive guide to improving the effectiveness of infrastructure asset management by determining the level of expenditure on infrastructure assets in order to maximise life-cycle value.Using clear and concise examples, this book provides detailed guidance for making whole-life asset management decisions based on value rather than cost.This best practice guide aims to aid asset management decision-makers to understand better the value generated by assets and the risks associated with this in order to make better informed decisions, and to also have a deeper understanding of the impact of their decision.Whole-Life Value-Based Decision-Making in Asset Management:delivers a systematic method to map the value generation processsupports stakeholders in making asset management decisionsprovides guidance to make a decision framework based on valueillustrates its applicability through industrial case studies such as seepage in London Underground tunnels.Part of a series of best practice guides written by experts at the Cambridge Centre for Smart Infrastructure and Construction (CSIC), this value-based tool addresses the challenges of managing current ageing infrastructure by determining the type, level and timing of investment required so that assets can meet current and future demand.

The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss:•The strategic understanding of value-based asset management in a company;•An operational definition ofvalue, as a concept on the background of value-based asset management;•The identification of intelligent asset management, with the aim to frame a set of “tools” recommended to support the asset-related decision-making process over the asset lifecycle;•The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.