The SpreadSheetSpace is a virtual space for spreadsheet data sharing over the Internet. In the same way as the World Wide Web leverages hypertext links the SpreadSheetSpace leverages cell links, the most distinctive feature of spreadsheet, and extends the power of such a mechanism to the Internet, supporting the creation of links among tables located in distinct spreadsheets. Such a feature allows spreadsheet users to synchronize and combine data to improve the quality of their analyses.
The SpreadSheetSpace Platform, which transforms the SpreadSheetSpace from an idea to a real system, supports two functionalities, the first named “Collaborative Analytics”and the second called “Everything to Excel”. Let us take a look and them in detail.
- Collaborative Analytics refers to the very common case in which the analysis of the data associated to a phenomenon (a process, the evolution of a business, etc.) is carried out by a team made up of several people. While Big Data Analytics is based on the delocalization of the big data sets in an external platform (e.g., Hadoop, Spark, etc.), SpreadSheetSpace enabled Collaborative Analytics assumes that the data to be processed reside in the administrative domains of the team participants. Every participant owns his/her tables and in principle is not allowed to see the tables of the other participants. However,he or she may decide to expose his/her data, or part of it, to one or more participants to support their analyses. In the end, all participants access the result of the joint analysis developed by the team.
- Everything to Excel refers to the very common case in which someone carries out an autonomous analysis of a phenomenon (again a process, the evolution of a business, etc.) managed by an external platform. Examples of these situations are the case in which an accountant processes the data exposed by an ERP (or more in general by an Information System)to do Business Intelligence, or the case in which a person in charge of a service processes tracking data to improve service quality. The pattern, in this context, is based on the idea that spreadsheets are kept permanently “in sync” with the reference software platforms, in such a way that the analyses developed in the spreadsheets maintain their validity over time.
How does all this happen?
In Collaborative Analytics every Excel user selects a table in a spreadsheet and exposes it to another user (or more than one, of course). This second user imports the table in his/her spreadsheet and voila’! it’s done. From now on the spreadsheet that exposes the data andthe spreadsheet that imports the data maintain synchronization. The user who made the table available maintains the data owner role and, as a consequence, maintains the permissions required to update the table content. On the contrary, the user that imports the data is only allowed to use the imported data in his/her personal calculations/analyses/reports while he/she does not have write access read on it.
In Everything to Excel the administrators of a platform configure the periodical exportation of a table from an ERP, or more in general from an Information System, to user spreadsheets in such a way that each exportation is treated as a new version of the same data set. Any calculation, chart or report based on data managed by the software platforms becomes dynamic and evolves over time.