SQL queries usually require a range of documents in support of their validity. To be proved valid, SQL queries should, most importantly, be qualified. It means that it is needed to assemble a test script so as to document and verify the outcomes of the queries. Datasets can also prove helpful in terms of testing the validity. When the SQL query is done and the data is extracted, it can be used as the resource of data to make reports. The tools for such reports – e.g., Crystal Reports – organize the information so that the user is comfortable when working with it. For the most effective query, it is worth ensuring that the SQL is well-structured. An extensive query used to retrieve too much data can overload the system. If a user needs a small set of information, the SQL should be structured specifically. Another value that reporting tools bring is that they can act as data filters, especially if a user plans to utilize the reports continuously. An SOP to control the report generation, especially in cGMP systems, is most recommendable.
As to data extraction, it is recommended that raw data be used in corporate data warehousing. Finance, fleet sales, and healthcare companies can benefit from a variety of technologies to use and analyze raw data. Information concerning the segmentation and turnover of the target market, purchase, and trend analyses require raw data to base decisions on evidence and make predictions as to the products’ selling abilities and the ways of achieving higher satisfaction and/or response ratings. The adequacy of presentation is largely predetermined by the ease of use in each establishment’s particular context. On average, diagrams appear the most illustrative in terms of data presentation.