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Data analytics industry press

The Library & Information Service provides a hand-picked collection of industry press articles on data analytics as a benefit of ICAEW membership.

If you are unable to access an article, please see our Help and support or contact library@icaew.com

Five key points about unstructured data storage

Article discusses the possible challenges faced by companies in managing their unstructured data, as well as the potential benefits of unstructured data in business success.

Ethics maps for AI analytics

The article looks at the importance of an ethics map as a component of any company's artificial intelligence (AI) usage and AI-based decision-making strategy.

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.

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.

A data driven approach to the pandemic

The article discusses how management accountants and other professionals are leveraging new technologies like data analytics to resolve issues created by the COVID-19 pandemic in their professions. Also cited are the digital strategies that can be used by professionals and businesses like cloud computing, Internet of Things (IoT), big data, and natural language processing, and how data analytics can be used in sectors like healthcare, finance and accounting, and retail.

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.

Data governance in digital transformation

The article discusses how to do safe data governance amidst the digital transformation of an organization. Also cited are the benefits of data governance in organizations like enhanced competitiveness, better reputation, and lower costs and fines associated with data breaches.

Storage decisions for AI, machine learning and big data

Article looks at the fact that artificial intelligence and machine learning storage is not one-size-fits-all. Analytics work has varied storage requirements for capacity, latency, throughput and IOPS. The investment needed by larger artificial intelligence and business intelligence projects in storage, compute, and networking is discussed.

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