Design of Electricity & Energy Review Dashboard using Business Intelligence and Data Warehouse
Atharva Girish Puranik1, Abhijit Gohokar2, Ravi Batheja3, Nirman Rathod4, Ojasvini Bali5
1Atharva Girish Puranik, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Affiliated to Nagpur University, Nagpur(Maharashtra) , India.
2Abhijit Gohokar, Final Year B.E Student, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Affiliated to Nagpur University, Nagpur(Maharashtra), India.
3Ravi Batheja, Final Year B.E Student, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Affiliated to Nagpur University, Nagpur(Maharashtra), India.
4Nirman Rathod, Final Year B.E Student, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Affiliated to Nagpur University, Nagpur(Maharashtra), India.
5Ojasvini Bali, Final Year B.E Student, Department of Computer Technology, Yeshwantrao Chavan College of Engineering, Affiliated to Nagpur University, Nagpur(Maharashtra), India.
Manuscript received on March 05, 2013. | Revised Manuscript received on March 11, 2013. | Manuscript published on March 15, 2013. | PP: 53-57 | Volume-1 Issue-4, March 2013. | Retrieval Number: D0193031413/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The advances in the computer and electronics industry along with the widespread of on-the-move internet has lead an enormous of data being generated on daily basis. Such large data stored in the datacenters is critical for businesses to analyze and plan future business strategies. Business Intelligence is thus used to transform the large raw data into meaningful and useful information. In this work the concept of Business Intelligence in combination with Data warehousing is applied to design an Electricity & Energy Review Dashboard by taking a scenario which involves the use of large raw data for electricity and energy production and consumption in US for last few years.
Keywords: Unstructured data, Business Intelligence (BI), Competitive intelligence, Data Warehouse, MicroStrategy.