Approach
Information & Notices

How we work with clients?

Approach

Normally without data mining, we start our audit through review of financial details comparing current year figure with previous year’s figure and pick sample with high value of deviation. In simple way we can say that our review process starts from front view i.e balance sheet, profit and loss account or General Leger balance to analysis, compare and detect high deviations.

In case of a small file containing whole data of the enterprises, which can be understood or assessed easily, the full file shall be taken for data mining. However, in case of voluminous files with large number of data, we shall need to deploy a higher and more advance level of data analysis. In such cases, we shall use the following points in our approach for effective data mining:

  • Idea of denouncing pleasure & praising
  • Ever undertakes laborious physical
  • Avoids a pain that produces no resultant
  • Great explorer of the real truth
Our Features

What We Do Best

BEST SAMPLE SELECTION

In traditional audit we face “5M Challenges” which mystify us from selecting best sample for investigation.

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DATA ANALYTICS

There is driving demand for internal audit through data analytics services.

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IDENTIFY HIGH RISK AREAS

Generalized data analysis is a type of CAATs that helps auditors to perform data manipulation, and analytical tasks.

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DATA MINING FOR FINANCIAL

Bank audit is indeed a challenging audit w.r.t. Credit risk, Liquidity risk, Market risk and Regulatory risk.

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