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Displaying 1-50 of 94 results
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Data management trends: privacy, security and AI
- Jul 2024
- Gary L Boomer
This article discusses the importance of data management for accountancy firms, focusing on the trends of privacy, security, and artificial intelligence (AI). It highlights the challenges posed by cyberthreats and regulatory requirements, emphasizing the need to prioritize privacy and security measures. The article suggests strategies such as data encryption, cybersecurity measures, and staff training to enhance data management. It also recommends leveraging AI tools for automation, predictive analytics, and data visualization.
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No more 'wait and see'
- Feb 2024
- Antoinette Alexander
Article discusses how accounting firms are increasingly embracing artificial intelligence (AI) and generative AI to improve efficiency and gain a competitive edge. Many firms are exploring the various applications of AI, such as internal virtual agents, client communication and automation, data analysis and anomaly detection, and tax and client services. While there is a growing acceptance of AI within the profession, some accountants still have concerns about work quality, data accuracy, fiscal costs, undetected bias, and ethical issues. It is important for firms to have proper AI guidelines ...
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In the dark about data
- Dec 2023
- Timothy Morey, Theo Forbath, Allison Schoop
Article discusses openness and transparency in data collection from customers. The authors argue that companies that are open about what they are doing with customer data and offer something fair in exchange are at an advantage over companies that are not trusted with data.
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The data-driven supply chain raises new governance and security issues
- Sep 2023
- Shawn Muma, David Kappos, Carys Webb
The article highlights the importance of data management and security in today's digital supply chain, where every enterprise is considered a "data enterprise." As companies transition to digitally integrated supply chains, they must prioritize data stewardship, embed data governance and security into their operations, and adapt to changing practices and regulations.
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Getting data sorted
- Jul 2023
- Stephen Pritchard
The article focuses on data classification as a pre-requisite for data protection, security, and compliance, and it explores the tools available for data classification, including offerings from major tech companies as well as open-source options. It mentions these tools use machine learning and artificial intelligence to automate data classification, ensuring accurate data management and governance.
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Managing people's data ethically
- Jul 2023
- Michael Segalla, Dominique Rouziès
Article discusses how Ai-driven decisions have led to discrimination against women and minorities in recruitment, criminal sentencing, medical diagnosis and credit approval and led to thousand of fines under GDPR. An overview of a robust ethical review is given and the 'Five Ps of ethical data handling'
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What is descriptive analytics?
- Feb 2023
- Brenna Miles
Article explains that descriptive analytics is the process of analysing data to find trends and patterns that support decision-making, monitoring, and other initiatives. It's the most fundamental building block of data analytics.
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Leadership in the age of big data
- Jan 2023
- Hans Weemaes
The article discusses the need for finance leaders to recognize the importance of data analytics to become effective in their roles. The need to ensure that employees work in a culture that sustains collaboration and exchange of ideas and information by leaders is noted. It discusses ways in which management accountants can demonstrate leadership such as competence in financial planning and imparting technical accounting knowledge.
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Data classification: what is it and why do you need it
- Nov 2022
- Stephen Pritchard
The article explains why data classification is vital to organisations. Topics discussed include tracking of information based on its sensitivity and confidentiality, key elements of a data classification policy, and compliance with regulations such as the General Data Protection Regulation (GDPR). Also mentioned are the basic principles of data management, namely confidentiality, integrity, and access.
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Guide to algorithms in AI
- Oct 2022
- Zephin Livingston
Algorithms define the rules, conditions, and methodology that an Artificial Intelligence will use when processing and analysing data. The article explains how they work and looks at the different types.
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Top predictive analytics solutions
- Sep 2022
- Samuel Greengard
Article gives an overview of leading predictive analytics platforms, which deliver powerful tools for processing data that can guide enterprise decision-making.
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Digital skills of the future
- Aug 2022
- Rodney Koch
The article discusses the technical and digital skills that finance professionals should learn and gain expertise to gain considerable advantage in their profession, including process modeling, data governance, and software use and development.
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Get comfortable wrapping yourself around Python
- Jun 2022
- John Alarcon, Kevin Moffitt, Cory Ng
In today’s digital environment, where more tools are becoming necessary for analysing large and unstructured data sets, Python is emerging as a helpful resource for accountants. Discusses Python's relevance to accountants in areas such as audit and business planning and forecasting, as well as in accounting roles where automation may be useful.
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Extreme encryption
- Apr 2022
- Edd Gent
Article looks at how a clever form of cryptography allows us to see data without ever looking at it. This could dispel the privacy fears that hobble big data.
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Irish data watchdog calls for 'objective metrics' for regulation of big tech
- Mar 2022
- Bill Godwin
Article looks at complaints that Ireland's Data Protection Commission (DPC) is failing to stand up to big tech companies which are head quartered in Ireland. The DPC has asked EU regulators to agree on
metrics to measure the effectiveness of data protection regulation.
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Natural Language Programming in accounting
- Mar 2022
- Shivam Arora
The article discusses the application of natural language processing (NLP), artificial intelligence and machine learning (ML) in a number of management accounting settings, including customer sentiment analysis.
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Marks & Spencer upskills internal talent with data science education
- Jan 2022
- Brian McKenna
The article discusses that Marks & Spencer (M&S) has been building up a data science and management capability that includes master's degree apprenticeships, as well as making data literacy more of a common currency at the retailer. It mentions the data science and artificial intelligence (AI) apprenticeship from the M&S business.
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What is data analytics? A guide to Data Insights
- Dec 2021
- Cynthia Harvey
Article outlines the difference between data analytics and data science, types of data analytics, the importance and benefits of data analytics and what the future holds.
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Who’s making the decisions? How managers can harness artificial intelligence and remain in charge
- Sep 2021
- Pooya Tabesh
The authors suggest that human decision-makers will not be replaced by machines if they continue to invest in what they do best: critical thinking, intuitive analysis and creative problem-solving. If properly implemented, big data and AI analytics are useful to complement human intuition and significantly improve organizational decision effectiveness.
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UK data regulations set for 'common sense' changes
- Sep 2021
- Alex Scranton
Article reports on the launch of a major conultaion by the Department for Digital, Culture, Media and Sport (DCMS), centring on proposed changes to the UK’s data protection regime in a post-Brexit environment, alongside reforms to the Information Commissioner’s Office (ICO).
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Three 3 steps to enabling better use of business data
- Aug 2021
- George Corugedo
Article looks at how effective data mining derives from linking all the right data to create a complete and timely picture of the business issues you are trying to engage.
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Real time analytics begins to find business vocation
- Aug 2021
- Stephen Pritchard
Article discusses how continuous real-time data analytics, operating at sub-second speed, are finding real-world applicability across industry sectors.
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Taking a look into the future
- Aug 2021
- Ted Needleman
Article looks at how data analytics and forecasting tools are critical for the accountancy firms of tomorrow.
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Text analytics and the accounting profession
- Jul 2021
- John Alarcon, Liu Yue, Kevin C Moffatt, Sheneya Wilson
Article discuss the latest trends in text analytics in the accounting profession where firms are using text analytics software in accounting, auditing, tax, and business advisory for automation, compliance assurance, fraud detection, or planning purposes.
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Beating the data storage bottleneck
- Jun 2021
- Cliff Saran, Alan Bridgewater
Article discusses the explosion in data that is driving demand for faster computing and larger storage and the developments that are on their way.
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Avoid cloud archiving's perfect storm
- May 2021
- Maxwell Cooter
Article discusses hove organisations should be aware of costs and issues around moving data from and between clouds to enjoy the best advantages.
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Data warehouse storage: has the cloud made on-premises obsolete?
- May 2021
- Antony Adshead
Article looks at how the development of cloud services has matured to the level where data warehousing provision is an obvious next step to store an organisation's data lake.
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Five key points about unstructured data storage
- Mar 2021
- Antony Adshead
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.
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The future of supply chain management is AI and data
- Mar 2021
- Seth Earley
The article discusses the importance of artificial intelligence (AI) and big data in the future of supply chain management and how organizations can use hidden data flows to bolster their competitive advantage.
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Ethics maps for AI analytics
- Jan 2021
- Lorenzo Patelli
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.
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Data bias and diversity and inclusion
- Dec 2020
- Richard Schaper, Kenya Mmatsushita
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.
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With data visualization
- Dec 2020
- Fatema El-Wakeel, Loreal Jiles, Raef Lawson
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.
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Unified file and object; best of both worlds?
- Nov 2020
- Stephen Pritchard
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.
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Shell fleshes out digital twin strategy
- Oct 2020
- Cliff Saran
Article discusses digital twins, which combine artificial intelligence, the internet of things and big data to help asset-intensive industries to manage their operations. Digital twins can also improve safety and reduce operational costs through predictive maintenance.
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Considerations in data analytics problem structuring
- Oct 2020
- Fatema El-Wakeel
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.
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Balancing costs and benefits of storing data in the cloud
- Sep 2020
- Rene Millman
The article discusses enterprises have looking at cloud storage as an alternative to on-premise storage systems. Topics include cloud solutions store data remotely, removing the need to retain on physical on-site hardware; and the cost of enterprise cloud storage has vary greatly, depending on particular use cases.
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Data governance in digital transformation
- Sep 2020
- Rod Koch, Tatyana Corban
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.
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A data driven approach to the pandemic
- Sep 2020
- Hirav Shah, Loreal Jiles
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.
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Storage decisions for AI, machine learning and big data
- Aug 2020
- Stephen Pritchard
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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Case studies: AI & data analytics: three firms share how they're using the tools of the future
- Aug 2020
- Ranica Arrowsmith
Article detail how three accounting firms of different sizes have used the wider applications of the technology in forecasting, planning, consultation and advisory services.
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New skills for auditors: as their field changes, so do the talents they need to bring to their work
- Aug 2020
Article looks at the new skills that auditors now require involving technologies such as blockchain, and data analytics.
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Whitehall's weaponisation of data analytics: UK government is putting data analytics in the driving seat of civil service transformation
- Jul 2020
- Brian McKenna
Article gives an overview of the ten years of Open Data in Government and how this is at the forefront of civil service transformation. It also mentions that significant economic benefits by enabling businesses and non-profit organisations to build innovative applications and websites using public data.
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Evolving finance technology: CFOs have a major role in ensuring that their company takes full advantage of data analytics and other capabilities that new technologies provide.
- Jun 2020
- Daniel Butcher
Article discusses the rapid evolution of technology and its impact on the job of chief financial officers, impact of the advanced enterprise resource planning systems on the function of finance according to Davies, and the role of the CFO in the management of a company's technology investment.
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Breaking the Excel routine
- Mar 2020
- Kimberly Swanson Church, Jennifer Riley, Pamela J.Schmidt
Status quo bias may leave finance professionals resistant to switching from Excel, but easing that transition could improve productivity and data analytics capabilities. The authors conducted a survey of accounting and finance professionals and found that while users recognize the benefits and value of newer tools, the perceived costs of switching create resistance.
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Clinging to excel as a security blanket
- Mar 2020
- Pamela J Schmidt, Kimberley Swanson Church, Jennifer Riley
This paper investigates evidence that suggests that practicing accountants may be resistant to data analytics practices, despite warnings that the profession needs to embrace and adapt to big data and data analytics, and seeks to understand factors that may influence this resistance to adopting new data analytics technologies.
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The impact of big data on finance
- Feb 2020
- Raef Lawson, Toby Hatch
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.
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Is AI failing to live up to to the hype for enterprises?
- Dec 2019
- Cath Everett
Article looks at Artificial Intelligence adoption including case studies to demonstrate how machine learning-enhanced packages from enterprise applications suppliers are starting to be used.
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CFO as asset manager:
- Dec 2019
- Thomas G Canace, Ayaz Jaffer, Paul Juras
Article discusses how management accountants have the opportunity to use data analytics to align asset management with their company's strategic direction for more effective decision making.
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Data ethics: risk management for the algorithmic age
- Nov 2019
- Dennis Hirsch
The article discusses the risks posed by big data analytics to businesses. Topics covered include how big data analytics can harm individuals in ways such as privacy invasion, manipulation and bias, the threats that it can bring to individual consumers and to the reputation and brand of the companies, and the need for companies to educate themselves about human rights frameworks and other ethical philosophies when managing big data risks.
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Data protection regulation compliance: whose job is it and is it really possible?
- Oct 2019
- Alex Scroxton
Article looks at GDPR compliance and what the different approaches look like.
Displaying 1-50 of 94 results
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