Wednesday, December 4, 2019
Efficiency and Collaboration Proposal free essay sample
Proposal BIS-220 Team ? Efficiency and Collaboration Proposal Accurate data retrieval is very important. Companies must use programs to organize and store data to operate their businesses more efficiently. Two programs used for this is Microsoftà ® Excelà ® and Microsoftà ® Accessà ®. Microsoftà ® Excelà ® is a spreadsheet application developed by Microsoft Corporation. It features calculation, graphing tools, pivot tables and a macro programming language called Visual Basic for Applications. It is considered the industry standard for spreadsheets in these platforms. Microsoftà ® Accessà ®, is also supported by Visual Basic for Applications and is a database management system from Microsoft Corporation that combines Microsoft Database Engine with graphical user interface (GUI). The amount of data the Microsoftà ® Excelà ® spreadsheet stores is 65,536, whereas, Microsoftà ® Accessà ® accumulates unlimited data. Microsoftà ® Accessà ® provides users a lot of options to handle and manipulate data compared to Microsoftà ® Excelà ® spreadsheets. Microsoftà ® Accessà ® is more secure and flexible in dealing with enormous amounts of data. We will write a custom essay sample on Efficiency and Collaboration Proposal or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page When dealing with a large Microsoftà ® Excelà ® spreadsheet list, the user can use the Microsoftà ® Accessà ® data management capabilities, security, or multiuser capabilities, so that the data from Microsoftà ® Excelà ® can be converted to a Microsoftà ® Accessà ® database (Microsoft Corporation, 2012). Microsoftà ® Accessà ® offers many features and improvements. It offers integration with SharePointà ® Server via Microsoftà ® Accessà ® Services which allows for Microsoftà ® Accessà ® databases to be published to SharePointà ®, which enables multiple users to interact with the database application from any standards-compliant Web browser. You can use Microsoftà ® Accessà ® to connect to data from a variety of external data sources that you can view, query, and edit that data without having to import it. For example, Microsoftà ® Accessà ® provides commands to connect to existing data in Microsoftà ® SQL Serverà ® database, a dBASE file, or a Microsoftà ® Officeà ® outlook folder, along with many other data sources. Microsoftà ® Accessà ® is the better choice for storing and working with your data as Microsoftà ® Accessà ® lets you use Structured Query Language (SQL) queries to quickly retrieve just the rows and columns of data that you want, whether the data is contained in one table or many tables. You can also use expressions in queries to create calculated field. Using an expression in Microsoftà ® Accessà ® is similar to the process of using formulas in Microsoftà ® Excelà ® to calculate values. By using Microsoftà ® Accessà ®, a business will have the opportunity in the future to use collaborative software which will produce many benefits and to increase efficiency. A sales department will benefit by being able to follow and control everything that is in stock, what inventory is needed, and which dealers would be best suited to order from. This will save many man hours and company resources which will in turn increase company profits. Conclusion While Microsoftà ® Excelà ® is an excellent program in its functions and operations, Microsoftà ® Accessà ® far exceeds it in its capabilities. Using Microsoftà ® Accessà ® offers great integration with so many other different platforms and it is easy to use, learn and understand which makes the transfer from Microsoftà ® Excelà ® even more sensible With unlimited data capabilities and easy accessibility, Microsoftà ® Accessà ® is the strongest and more preferable choice. References Microsoft Corporation. Office. com, General Product Dexcription Retrieved 23 April 2013. Goodhew, Tony (11/1996). Jet Engine: History Retrieved 23 April 2013 Microsoft Corporation. (2012). Introduction to Importing and Exporting Data. Retrieved 24 April 2013. Sinclair, Russell (2000). From Access to SQL Server. Retrieved 24 April 2013
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