Here’s the scenario: I have a large database (up to 10,000 records) in which companies are identified by certain levels (among other things). The data in the database are updated frequently by multiple users. Over the course of time, a company may move from one level to another. My task is to track the changes. So, for example, company XYZ might be classified as level E in January. In February it might be classified as level D. In May it might move to level B. What II need to do is to produce a report on a regular basis (monthly, say) where I can identify all the companies who changed levels during the previous time period and what the changes were (e.g., Company XYZ went from D to C, Company STU went from B to D, etc.).
Added info: the database actually consists of perhaps 15 fields (maybe more in the final version), and I will be producing pivot tables to illustrate other facets of the data. I already know how to get the results I want from the pivot tables, but I am not sure how to even begin to track the records over time to reflect the level changes.
I will be grateful (as always) for any suggestions, ideas, etc.
Thanks in advance,