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Data analytics and big data

Get advanced data analysis, from number crunching and spreadsheets to decision-support and strategy, including access to useful and practical Excel guidance. Plus, find out how big data is used and can benefit the accountancy profession.

In this section

Features and articles

Blog series

Big data and the profession - what does the future hold?

The growth of computer power, and rise of automation and artificial intelligence will increasingly affect analytical tasks. Accountants will need to find new ways to add value in response.

Webinars and recordings

Reports, guidance and thought leadership

Audit and Assurance DAS Explanatory Guidance Notes 2021

These guidance notes explain how to use the key elements of the audit data analytics software (the software) that will be a part of the Audit and Assurance exam.


Download the full Inflo online evaluation report.

The Library & Information Service provides a hand-picked collection of eBooks as a benefit of membership. 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.

Understanding business valuation: a practical guide to valuing small to medium sized businesses

This fifth edition of this title covers all areas in the various valuation approaches, methods, and techniques in an easy-to-read style.

Visualizing financial data

This book provides visualization methods that will help you navigate today's cluttered landscape of financial markets. It starts with a review of current, commonly used methods for communicating financial data and then offers methods to refine or enhance them, or create new types of visualisations that are easy to use, elegant, and that facilitate better decision-making. Many break with today's common practices for communicating data, but improve efficiency and clarity.

Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results

Offers an in-depth insight into how specific companies use big data.

Good charts: the HBR guide to making smarter, more persuasive data visualizations

Provides an essential guide to how visualization works. It will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

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The Library & Information Service provides a hand-picked collection of industry press articles as a benefit of membership. If you are unable to access an article, please see our Help and support or contact library@icaew.com

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.

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.

Unified file and object; best of both worlds?

The article discusses that the unified file and object storage tackles growing volumes of unstructured data in a way that is compatible with traditional and cloud-era applications and friendlier to analytics.

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.

Useful links

Electronic Statistics Textbook

Provided by Tibco this textbook offers support on the application of statistics and data mining. It covers a variety of applications, including: business statistics, credit scoring, forecasting and survey research, data mining and quality control.

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