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.
%0 Journal Article
%1 noauthororeditor
%A Puranik, Atharva Girish
%A Gohokar, Abhijit
%A Batheja, Ravi
%A Rathod, Nirman
%A Bali, Ojasvini
%D 2013
%E Kumar, Dr. Shiv
%J International Journal of Innovative Science and Modern Engineering (IJISME)
%K (BI) Business Competitive Data Intelligence MicroStrategy. Unstructured Warehouse data intelligence
%N 4
%P 53-57
%T Design of Electricity & Energy Review Dashboard using Business Intelligence and Data Warehouse
%U https://www.ijisme.org/wp-content/uploads/papers/v1i4/D0193031413.pdf
%V 1
%X 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.
@article{noauthororeditor,
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.},
added-at = {2021-09-22T12:22:03.000+0200},
author = {Puranik, Atharva Girish and Gohokar, Abhijit and Batheja, Ravi and Rathod, Nirman and Bali, Ojasvini},
biburl = {https://www.bibsonomy.org/bibtex/2176e6b6dae0b78a3047ffc769311bf04/ijisme_beiesp},
editor = {Kumar, Dr. Shiv},
interhash = {ac3f8c62a5364525d6f48123056b5bd3},
intrahash = {176e6b6dae0b78a3047ffc769311bf04},
issn = {2319-6386},
journal = {International Journal of Innovative Science and Modern Engineering (IJISME)},
keywords = {(BI) Business Competitive Data Intelligence MicroStrategy. Unstructured Warehouse data intelligence},
language = {En},
month = {March},
number = 4,
pages = {53-57},
timestamp = {2021-09-22T12:22:03.000+0200},
title = {Design of Electricity & Energy Review Dashboard using Business Intelligence and Data Warehouse},
url = {https://www.ijisme.org/wp-content/uploads/papers/v1i4/D0193031413.pdf},
volume = 1,
year = 2013
}