When your spreadsheet start to hit its limits, what options are open to you? Perhaps the best option is to consider the conversion of your spreadsheet to a database solution. Relational databases became viable not too long after the spreadsheet was well-entrenched as the affordable and quick means of gathering data and performing calculations.
In order to ensure that you are provided with high-quality spreadsheet solutions and that they are 100 percent compatible with the profile and size of your business, you need to possess performing, state-of-the-art spreadsheet programs. However, it is important to note that the entire process of designing and creating your own spreadsheet solutions by using spreadsheet-generating programs is time consuming and requires a good level of expertise. Without the help of a specialized team of experienced programmers and mathematicians, the process of obtaining efficient spreadsheet solutions can be very challenging.
Inconsistent data : This becomes most apparent when trying to find a particular record or cell, based on the contents. If a space is incorrectly added in the wrong place, the search or filter fails.
Early databases available for the PC market were simple two-dimensional solutions and were essentially designed as a record-keeping system. However, when computing power increased, the advent of the relational database became an affordable option. Applying the rules proposed by Edgar Codd, the Database Management System (DBMS) became a reality, with products such as dBase being widely implemented in the desktop market.
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