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What makes a successful Common Data Model?

It’s estimated that between thirty to forty percent of an auditor’s time is spent interrogating, extracting and analysing data. Bringing together data from multiple systems and applications is an expensive and time-consuming task and without being able to share and understand the same data easily, each application or data integration project requires a custom implementation. These are just some of the reasons […]
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What does the future of audit look like in 2021?

The future of audit – what next? It’s safe to say most people will be pleased to see the back of 2020. A year that will undoubtedly go down in the history books as one of the deadliest and most challenging years in modern history. In the business world, no industry remained untouched by the […]
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Anomaly Detection for Professional Services

Understanding anomaly detection for Professional Services Over the past few decades, we have witnessed the exponential rise of Machine Learning (ML), the introduction of Deep Learning Techniques and the dramatic improvement in the analytical capabilities of software. The advancements made in these technologies are now enabling better anomaly detection and subsequently unlocking new opportunities for […]
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The key differences between structured and unstructured data

The key differences between structured and unstructured data According to Gartner, an estimated 20 percent of today’s data is structured, while the remaining 80 percent is unstructured. At Engine B, the Industry Common Data Models and Knowledge Graphs we are developing are unique in that they enable the interrogation and analysis of both structured and […]
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What is the value of the Audit Common Data Model?

What is the value of the Audit Common Data Model? Working with partners such as Microsoft, thirteen audit firms, academic institutions and supported by the Institute of Chartered Accountants in England and Wales (ICAEW), Engine B has created a new standard for the data that auditors can use ensuring completeness and accuracy – an Audit […]
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Women in tech – what should I know?

Women in tech – what should I know? As PwC revealed in their 2017 report, ‘Women in Tech; Time to close the gender gap‘, only 23% of people working in STEM roles in the UK were female, and a measly 5% of leadership positions in the technology industry were occupied by women. Unfortunately, three years […]
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Deriving knowledge from Knowledge Graphs

Deriving knowledge from Knowledge Graphs The only true wisdom is in knowing you know nothing. -Socrates The word ‘knowledge’ is a word used so often in our daily lives, without a universally accepted conceptual reference. The terms, ‘data and information’ and ‘information and knowledge’, are often used synonymously. However, as argued by Min Chen and […]
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Audit ethics and technology – what is it?

Audit ethics The role of technology in audit The audit profession is beginning to get to grips with the practical implications of new technology. According to Sage, 58% of accountancy professionals are expecting to automate some tasks using Artificial Intelligence (AI) within the next three years. And where the rest of the profession leads, audit […]
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What is a Common Data Model?

Many of today’s organisations have numerous applications and systems that all perform different functions. From Enterprise Resource Planning (ERP) systems to Customer Relationship Management (CRM) applications, and accounting systems – typically these systems exist in silos. In addition to siloed systems, organisations usually have spreadsheets, emails and other documents. These systems and files can add […]
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12 lessons learned from 1 year in business

Engine B – 1 year in business Regulation is a driver for innovation In the world of audit, regulators are pushing to open the market to greater competition to increase the quality of services. These regulatory drivers mean the audit industry must change to provide digitised services to clients. These regulations have been a key […]
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