Use data to make the best decisions, and don’t drown in numbers.
Articles and features
How can finance departments and internal audit make the most of data science? This was the main question Centrica's internal audit team and ICAEW discussed at a workshop on 15 October 2018.
Matthew Leitch extols the considerable business benefits of bespoke data analysis for finance professionals.
Author Steve Wexler reflects on the importance of feedback, iteration and constant improvement when it comes to creating the best data visualisations.
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.
Essentials of financial reporting, including micro entity reports, the visual impact of reports and lean accounting.
This report offers suggestions for measuring the performance of investment in corporate activity.
Webinars and recordings
Hear first-hand the benefits of data science for accountants and learn how to get started using data to identify patterns, make predictions and automate decision making.
Practical steps designed to help you make use of statistics tools in Excel to improve your data analysis.
Nigel Marriott discusses the importance of statistics and explains how this can assist us in financial decision making.
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.
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.
Chapter 10 of this title deals with: data ownership and privacy; data security; best practice in data governance.
Offers an in-depth insight into how specific companies use big data.
The article examines the impact of the implementation of Big Data in companies on accounting and finance professionals. It also describes areas where accountants and finance professionals can create value around Big Data, including data governance and organizational risk management.
The article explores the potential of artificial intelligence (AI) in improving small business data governance. Topics covered include the consideration of AI as a way to augment human intelligence, how AI can help in democratizing data governance, and the ability of AI in identifying internal and external data sets and evaluating the importance of the data sets to an organization's target performance metrics.
The article discusses the need for management accounting practices to review and adjust their data ethics guidelines as they assess the consequences of new data privacy legislation. Factors that will raise ethical concerns within an organisation are noted and primary questions that management accountants and finance professionals should be asking to better understand data ethics within their organization are cited.
Article looks at Lloyds of London's data strategy which includes evolving artificial intelligence, increasing data literacy in the company and increasing the use of data visualisation tools.