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Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Some forensic accountants specialize in forensic analytics which is the procurement and analysis of electronic data to reconstruct, detect, or otherwise support a claim of financial fraud. The main steps in forensic analytics are data collection, data preparation, data analysis, and reporting.
Record to report or R2R is a Finance and Accounting (F&A) management process which involves collecting, processing and delivering relevant, timely and accurate information used for providing strategic, financial and operational feedback to understand how a business is performing. [1]
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
Analytical procedures include comparison of financial information (data in financial statement) with prior periods, budgets, forecasts, similar industries and so on. It also includes consideration of predictable relationships, such as gross profit to sales, payroll costs to employees, and financial information and non-financial information, for examples the CEO's reports and the industry news.
The definition of an operational analytics processing engine (OPAP) [8] can be expressed in the form of the following six propositions: Complex queries: Support for queries like inner & outer joins, aggregations, sorting, relevance, etc. Low data latency: An update to any data record is visible in query results in under than a few seconds.
The second method used is analytics review. “Any process by which a person or company looks at an account or financial statement and attempts to identify any irregularities. This may involve comparing financial and non-financial information.” [7] Reconciliation of accounts using this method is undertaken by estimating the transactions that ...
Today, forensic accountants work closely with data analytics to dig through complex financial records. Data collection is an important aspect of forensic accounting because proper analysis requires data that is sufficient and reliable. [24] Once a forensic accountant has access to the relevant data, analytic techniques are applied.