Following a rigorous methodology is key to delivering customer satisfaction and expanding analytics use cases across the business.
Data Migration and Data Integration projects are often challenged to verify that the data in an application is complete. More specifically, to identify that all the appropriate data was extracted from a source system and propagated to its final target. This best practice illustrates how to do this in an efficient and a repeatable fashion for increased productivity and reliability. This is particularly important in businesses that are either highly regulated internally and externally or that have to comply with a host of government compliance regulations such as Sarbanes-Oxley, BASEL II, HIPAA, Patriot Act, and many others.
The common practice for audit and balancing solutions is to produce a set of common tables that can hold various control metrics regarding the data integration process. Ultimately, business intelligence reports provide insight at a glance to verify that the correct data has been pulled from the source and completely loaded to the target. Each control measure that is being tracked will require development of a corresponding PowerCenter process to load the metrics to the Audit/Balancing Detail table.
To drive out this type of solution execute the following tasks:
An example audit/balance table definition looks like this:
Column Name |
Data Type |
Size |
AUDIT_KEY |
NUMBER |
10 |
CONTROL_AREA |
VARCHAR2 |
50 |
CONTROL_SUB_AREA |
VARCHAR2 |
50 |
CONTROL_COUNT_1 |
NUMBER |
10 |
CONTROL_COUNT_2 |
NUMBER |
10 |
CONTROL_COUNT_3 |
NUMBER |
10 |
CONTROL_COUNT_4 |
NUMBER |
10 |
CONTROL_COUNT_5 |
NUMBER |
10 |
CONTROL_SUM_1 |
NUMBER (p,s) |
10,2 |
CONTROL_SUM_2 |
NUMBER (p,s) |
10,2 |
CONTROL_SUM_3 |
NUMBER (p,s) |
10,2 |
CONTROL_SUM_4 |
NUMBER (p,s) |
10,2 |
CONTROL_SUM_5 |
NUMBER (p,s) |
10,2 |
UPDATE_TIMESTAMP |
TIMESTAMP |
|
UPDATE_PROCESS |
VARCHAR2 |
50 |
Column Name |
Data Type |
Size |
CONTROL_AREA |
VARCHAR2 |
50 |
CONTROL_SUB_AREA |
VARCHAR2 |
50 |
CONTROL_COUNT_1 |
VARCHAR2 |
50 |
CONTROL_COUNT_2 |
VARCHAR2 |
50 |
CONTROL_COUNT_3 |
VARCHAR2 |
50 |
CONTROL_COUNT_4 |
VARCHAR2 |
50 |
CONTROL_COUNT_5 |
VARCHAR2 |
50 |
CONTROL_SUM_1 |
VARCHAR2 |
50 |
CONTROL_SUM_2 |
VARCHAR2 |
50 |
CONTROL_SUM_3 |
VARCHAR2 |
50 |
CONTROL_SUM_4 |
VARCHAR2 |
50 |
CONTROL_SUM_5 |
VARCHAR2 |
50 |
UPDATE_TIMESTAMP |
TIMESTAMP |
|
UPDATE_PROCESS |
VARCHAR2 |
50 |
The following are two Straw-man Examples of an Audit/Balancing Report which is the end-result of this type of process:
Data Area |
Leg count |
TT count |
Diff |
Leg amt |
TT amt |
|
Customer |
11000 |
10099 |
1 |
|
|
0 |
Orders |
9827 |
9827 |
0 |
11230.21 |
11230.21 |
0 |
Deliveries |
1298 |
1288 |
0 |
21294.22 |
21011.21 |
283.01 |
In summary, there are two big challenges in building audit/balancing processes:
There are also a set of basic tasks that can be leveraged and shared across any audit/balancing needs. By building a common model for meeting audit/balancing needs, projects can lower the time needed to develop these solutions and still provide risk reductions by having this type of solution in place.
Success
Link Copied to Clipboard