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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Store Analytics Using ETL Tools |
| Authors Name: | Shruti Chandge , Vaishanvi Kulkarni , Ravi Yadav , Pooja Yadav |
| Unique Id: | IJSDR2207024 |
| Published In: | Volume 7 Issue 7, July-2022 |
| Abstract: | Business intelligence (BI) is the collection of processes, technologies, skills, and applications used to make informed, data-driven business decisions. BI includes data collection, data aggregation, analysis, and meaningful presentation that facilitates decision-making. Data-driven organizations use a variety of BI tools to access historical and real-time data in a data repository to perform queries, generate customized reports, and predict future trends. These tools include advanced analytics performed by trained data scientists as well as insights generated autonomously by machine learning algorithms. In this project we will be using Talend Open Studio which will provide us the power to Extract huge amount of data from different sources and integrate and Transform it to provide solutions to various business problems related to analytics. This will help various business organizations to know the market trends and make correct data driven decisions which will lead to a successful and growing business. In this project we will be performing analytics for retail stores which will also support e-commerce analytics. |
| Keywords: | ETL, Data Warehouse, Business Intelligence |
| Cite Article: | "Store Analytics Using ETL Tools", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.182 - 185, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207024.pdf |
| Downloads: | 000337348 |
| Publication Details: | Published Paper ID: IJSDR2207024 Registration ID:200907 Published In: Volume 7 Issue 7, July-2022 DOI (Digital Object Identifier): Page No: 182 - 185 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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