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Business intelligence and management reporting

Developing and communicating management information

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Articles and features


Special report 65 - Smart reporting

This special report will be a handy go-to guide – we take you through the latest techniques and thinking behind the new smart world with which CFOs, and aspiring CFOs, must contend.

Business reporting

Essentials of financial reporting, including micro entity reports, the visual impact of reports and lean accounting.

Webinars and recordings


The Library & Information Service provides a collection of eBooks as a benefit of membership. Please note that ICSA publications are only available to ICAEW members and ACA students. Please log in to access these titles. If you are unable to access an eBook, please see our Help and support or contact library@icaew.com

Digital finance: big data, start-ups, and the future of financial services

This book takes a thoughtful look at how the industry is evolving, and it explains how to integrate concepts of digital finance into existing traditional finance platforms. It explores what successful companies are doing to maximize their opportunities in this context and offers suggestions on how to introduce digital finance into a firm's structure. Specific strategies for a digital future are presented, alongside numerous case studies that explore key attributes of success.

Principles of data wrangling: practical techniques for data preparation

This book walks the reader through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data.

Data strategy: how to profit from a world of big data, analytics and the internet of things

A must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.

Ensuring your data doesn't become a liability

Chapter 10 of this title deals with: data ownership and privacy; data security; best practice in data governance.

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Industry press

The Library & Information Service provides a collection of articles as a benefit of membership. Please log in to view these articles. If you are unable to access the articles, please see our Help and support page or contact library@icaew.com.

With data visualization

The article discusses the importance for management accountants and finance professionals to learn about data visualization, its application to finance, as well as the tools and skills needed for its utilization to effectively transition to their role as strategic advisor in business.

Data bias and diversity and inclusion

The article examines the possible effects of data bias in analytical models on the implementation by organizations and businesses of their diversity and inclusion programs. Also cited are the key role played by finance, accounting and corporate professionals in preventing the use of data bias in decision making, the data life cycle process, and ways to minimize data error or bias.

Considerations in data analytics problem structuring

The article discusses some important issues to consider when assessing the outcomes of data analytics projects. Topics mentioned include the skill set required to bridge and challenge technical and business experts, education opportunity to explain the importance of problem structuring to the business, and the need for the analytics and the business team to understand the complexity of the project.

Data governance in digital transformation

The article discusses how to do safe data governance amidst the digital transformation of an organisation. Also cited are the benefits of data governance in organizations like enhanced competitiveness, better reputation, and lower costs and fines associated with data breaches, as well as the five pillars of data governance, including workforce development, organizational structure, data policies, and technology infrastructure.

Terms of use: You are permitted to access articles subject to the terms of use set by our suppliers and any restrictions imposed by individual publishers. Please see individual supplier pages for full terms of use.

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