Accounting professionals increasingly rely on data analytics and visualisation techniques for reporting to internal and external stakeholders. Data analytics and visualisation techniques are crucial to developing an analytic mindset. They provide rich insights for decision makers and help accountants communicate meaningful results to a variety of stakeholders.

Preparing and analysing accounting data and sharing results through effective communication techniques are increasingly important in accounting and other business professions who rely on accounting data for performance evaluation, resource allocation and investment decisions. The design of effective data analytics and visualisations and extract insights from big data can help communicate business insights for improved data-driven business decision making. Understanding and evaluating different types of data analytics and visualisation tools and techniques are critical in determining the appropriate types of techniques for creating meaningful accounting reports.??

While accounting always has been about data analytics, in this course we show how the process of collecting, analysing, and using data has changed due to digital technologies. This course will develop critical thinking skills that are required to interact with big data, to discover new sources of accounting-related data, to comprehend the process needed to extract, clean and prepare the datasets before data analytics by considering data dimensions - veracity, velocity, variety, volume and value. This course will teach essentials for ensuring data quality so graduates have competencies in managing data quality, completeness, reliability, and/or validity.

This course provides you with the skills and ability to use digital technologies based on frameworks learnt in the curriculum, along with authentic assessments to solve business problems for long-term social impact. In this course, you will spend time reviewing reports, internal documents, spreadsheets, and presentations to synthesize market trends, competitive drivers, customer behaviours, and operational procedures for enhanced accounting reports. Working in teams are essential in this course and are effective ways to stay abreast of new developments in data analytics and visualisation.