Business Scenario: A company has a set of loans which it needs to have evaluated by a third party. The company has 1000 loan records in their database. They have received back 975 records. The goal is to research the returned loan population from the third party evaluation company.

Individual SQL Count Query: It will be important to document how many loans are in each data population. In this business scenario, the original population results in 1000 loans and the returned population has 975 loans.

Individual SQL Count Query Example:

select count(loan_num) from original_loan_pop

select count(loan_num) from returned_loan_pop

SQL Straight Join Query: This business related query checks to see which records are in both populations. In the business scenario, the query returns 970 records. This means of the 1000 loans sent to be evaluated, only 970 loans were sent back correctly from the original population.

SQL Straight Join Query Example:

SQL Left Join Query with Criteria: This query looks to see which loans are in the original table, but are not in the returned table. The query in this example returns 30 loans.  This mean of the 1000 loans sent to be evaluated, 30 loans from the original population were not included.

SQL Left Join Query Example:

SQL Right Join Query with Criteria: This query looks to see which loans are in the returned table table, but are not in the original table. The query in this example returns 5 loans.  The results of this query mean the company who provided back the evaluated loan information some how added 5 loans that were not even included in the original 100o loan data set.

SQL Right Join Query Example:

Final Results and Findings: Based on the results of the data analysis above, a data analyst or business analysis could conclude that the data returned by the loan evaluation company is incomplete with data inconsistencies. Of the original 1000 loans only 970 were returned correctly, with 30 loans missing. More concerning, there were 5 loans returned which did not even exist in the companies original loan set.

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All of which can result in not only loss of business but loss on income. Understanding the detriment of these latent losses will allow you to see ECM investments out weight the costs. An important measure is to define your priorities and then driving to meet them through reporting and set metrics. Goal metrics can be around business process improvement goals like call center efficiency, customer service improvements, or product life cycle improvement. Metrics around extra income or increased profits based on various business goals really proves the benefit of ECM.

It is important to remember, not all Enterprise Content Management improvements will be apparent financially and are considered soft costs, but the unseen improvements are worth a lot. While identifying an uptick in ROI can be obstinate, it is not impossible to see the impacts of the improved route on business. ECM tools can make your organization efficient and reduce the cost of day to day business functions. These technologies bestow treasure to your organization by more efficiently organizing information for its subsequent retrieval, use, and, disposition. ECM tools are becoming common place in standard business and it is important to keep up with business standards. Who would have thought in the past that every business needs a computer to be effective in todays marketplace. Enterprise Content Management consulting and tools are and will be just as important.

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