RQTech

A crucial part of any organisation’s plan is its data strategy. This entails outlining goals related to data, creating rules for managing data, and pinpointing the necessary resources.

Data strategy also encompasses establishing policies for data access, security, and privacy. Organisations that excel in data strategy are more adept at leveraging data to achieve business results.

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In the ever-evolving risk management landscape, adaptability becomes a crucial competitive advantage. However, large organizations often grapple with outdated, complex processes that hinder their ability to keep pace with business changes.

This situation puts immense pressure on internal audit teams, tasked with swiftly gaining precise and comprehensive insights into the company’s operations. Traditionally, auditors relied on manually documented reports, interviews, and personal opinions, providing only about 40% of the truth, according to Stewart Wallace, Director of Risk Analytics at EY UK.

Enter process mining. Advanced software like QPR ProcessAnalyzer ensures 100% process coverage and detects unexpected events overlooked by traditional analytics.

This blog explores how process mining facilitates efficient internal control, enabling a proactive approach to identifying errors.
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