Please use this identifier to cite or link to this item:
http://drsr.daiict.ac.in//handle/123456789/975
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Tiwari, Saurabh | |
dc.contributor.author | Purohit, Saurabh | |
dc.date.accessioned | 2020-09-22T14:26:48Z | |
dc.date.available | 2023-02-17T14:26:48Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Purohit, Saurabh (2020). Business intelligence portal for customer insights. Dhirubhai Ambani Institute of Information and Communication Technology. v, 13 p. (Acc.No: T00893) | |
dc.identifier.uri | http://drsr.daiict.ac.in//handle/123456789/975 | |
dc.description.abstract | The Business Intelligence portal for Customer Insights focuses on providing a business solution for the customer/client as per their requirements be it customer interaction, sales in a particular geography, current users, and various other business pivots that can provide a better and precise insight to the customer/client. In order to build the solution, we have used various data management tools (i.e. Tools to access data from on-premise data sources and Azure cloud services to manage and access the data from cloud storage). The solution is built on top of the raw data pulled from the client’s server/data store. The solution consists of many stages of Extract, Load, and Transform (ETL) to reporting the business insights on Microsoft Power BI. To validate the data displayed on the reports we have created a Power BI validation Tool that exports the data of the report and validates it with the data stored in the database. | |
dc.subject | SQL | |
dc.subject | Microsoft SQL Server Analysis service (SSAS) | |
dc.subject | Microsoft SQL Server | |
dc.subject | Integration Services (SSIS) | |
dc.subject | Microsoft Power BI | |
dc.subject | Azure Data Factory (ADF) | |
dc.subject | Azure SQL Database | |
dc.subject | Extract | |
dc.subject | Load and Transform (ETL) | |
dc.subject | Power BI Validation | |
dc.classification.ddc | 004 PUR | |
dc.title | Business intelligence portal for customer insights | |
dc.type | Dissertation | |
dc.degree | M. Tech | |
dc.student.id | 201811068 | |
dc.accession.number | T00893 | |
Appears in Collections: | M Tech Dissertations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
201811068.pdf Restricted Access | 1.11 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.