Internal auditors have weighed the benefits of data analytics software since the earliest versions of the technology began to surface nearly two decades ago. The conversation has continued even as the tools have grown in sophistication and become more pervasive on Windows-based systems.
Data integrity is the assurance that information can only be accessed or modified by those authorized to access the system. Measures taken to ensure integrity include controlling the physical environment of networked terminals and servers, restricting access to data, and maintaining rigorous authentication practices. Data integrity can also be threatened by environmental hazards, such as heat, dust and electrical surges.
What is Data Analytics?
Data analytics is the practice of embedding insight into operations to drive business strategy and performance.
|Busi*ness In*tel”li*gence|, n. - the capacity to acquire and apply business knowledge, the act or state of knowing about your business; to understand and profit from experience; the internal development and sharing of information to create a competitive advantage.
The objectives of a business intelligence competency center (BICC) are to provide the organization with better control over operational and financial reporting, reduce reporting costs, improve consistency, and provide the organization with more complete information for management decisions. BICCs are often business-led cross-functional teams that provide organizational support and guidance for implementation and usage of business intelligence processes and technology. They can live within the IT organization, but more often are business driven.
Internal audit has started the journey toward enabling analytics in audit processes, but there’s a long road ahead. This report explains why through the key findings of Protiviti’s 2017 Internal Audit Capabilities and Needs Survey. In a digital world, now is the time for internal audit functions to embrace analytics. The results of this 2017 survey are the most significant takeaway, which shows that chief audit executives (CAEs) and internal audit professionals increasingly are leveraging analytics in the audit process, as well as for a host of continuous auditing and monitoring activities.
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