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Diffstat (limited to 'content/blog/2019-09-09-audit-analytics.md')
| -rw-r--r-- | content/blog/2019-09-09-audit-analytics.md | 15 |
1 files changed, 1 insertions, 14 deletions
diff --git a/content/blog/2019-09-09-audit-analytics.md b/content/blog/2019-09-09-audit-analytics.md index e99cce7..a4a1dd3 100644 --- a/content/blog/2019-09-09-audit-analytics.md +++ b/content/blog/2019-09-09-audit-analytics.md @@ -29,9 +29,6 @@ or extracting data, selecting samples, or performing audit tests. These steps can be necessary for an audit (and may even be performed by the same associates), but they are not data analytics. - - # Current Use of Analytics in Auditing While data analysis has been an integral part of most businesses and departments @@ -83,9 +80,6 @@ analytics so that the results can be as comprehensive as possible: - **Analysts**: There must be auditors willing and able to perform data analytics or else the system cannot be sustained. - - # Finding the Proper KPIs Once the Internal Audit Function has decided that they want to start using data @@ -197,14 +191,7 @@ that only about 12.5% of entry-level jobs don't require experience. This is the kind of result that easily describes the data for you. However, make sure to include an explanation of what the results mean. Don't let the reader assume what the data means, especially if it relates to a complex subject. _Tell -a story_ about the data and why the results matter. For example, **Figure 4** -shows a part of the explanation the author gives to illustrate his point. - - - - +a story_ about the data and why the results matter. # Wrap-Up |