Using Databases in Decisions Systems for Businesses

Dănut-Octavian Simion

doi:doi:10.11648/j.ijdsa.20160202.11

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Using Databases in Decisions Systems for Businesses

Dănut-Octavian Simion

Published in International Journal of Data Science and Analysis (Volume 2, Issue 2)

Received: 5 September 2016 Accepted: 20 October 2016 Published: 21 November 2016

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Abstract

The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.

Published in	International Journal of Data Science and Analysis (Volume 2, Issue 2)
DOI	10.11648/j.ijdsa.20160202.11
Page(s)	15-20
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Business Intelligence Tools, Datawarehouse Star Model, SQL Queries and Reports, System Support Decisions, Analytical Tools and Management Decision

References

[1]	Daniel J. Power, “Examples of decision support systems (DSS) aiding business decision-making”, http://searchbusinessanalytics.techtarget.com/tutorial/How-decision-support-systems-DSS-can-help-business-decision-making, 2015;
[2]	Chang L, “Database Technologies for Decision Support System”, https://blogs.msdn.microsoft.com/csliu/2010/02/05/database-technologies-for-decision-support-system/, 2016;
[3]	Gupta, Jatinder N. D., Thomas M. Harris, “Decision Support Systems for Small Business”, Journal of Systems Management, 2015;
[4]	Muller-Boling, Detlef, Susanne Kirchhoff, “Expert Systems for Decision Support in Business Start-Ups.”, Journal of Small Business Management, 2015;
[5]	Ramon Barquin, “Data warehousing: building the foundation”, http://searchdatamanagement.techtarget.com/, 2014;
[6]	Surajit Chaudhuri, Umeshwar Dayal, Venkatesh Ganti, “Database Technology for Decision Support Systems”, IEEE Computer Society Press Los Alamitos, CA, USA, 2014;
[7]	URI: http://searchcio.techtarget.com/definition/decision-support-system
[8]	URI: http://www.dictionary.com/browse/decision-support-database
[9]	URI:http://www.waterencyclopedia.com/Da-En/Data-Databases-and-Decision-Support-Systems.html
[10]	URI: https://blogs.msdn.microsoft.com/database-technologies-for-decision-support-system/

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APA Style

Dănut-Octavian Simion. (2016). Using Databases in Decisions Systems for Businesses. International Journal of Data Science and Analysis, 2(2), 15-20. https://doi.org/10.11648/j.ijdsa.20160202.11

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Dănut-Octavian Simion. Using Databases in Decisions Systems for Businesses. Int. J. Data Sci. Anal. 2016, 2(2), 15-20. doi: 10.11648/j.ijdsa.20160202.11

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AMA Style

Dănut-Octavian Simion. Using Databases in Decisions Systems for Businesses. Int J Data Sci Anal. 2016;2(2):15-20. doi: 10.11648/j.ijdsa.20160202.11

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@article{10.11648/j.ijdsa.20160202.11,
  author = {Dănut-Octavian Simion},
  title = {Using Databases in Decisions Systems for Businesses},
  journal = {International Journal of Data Science and Analysis},
  volume = {2},
  number = {2},
  pages = {15-20},
  doi = {10.11648/j.ijdsa.20160202.11},
  url = {https://doi.org/10.11648/j.ijdsa.20160202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20160202.11},
  abstract = {The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.},
 year = {2016}
}

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TY  - JOUR
T1  - Using Databases in Decisions Systems for Businesses
AU  - Dănut-Octavian Simion
Y1  - 2016/11/21
PY  - 2016
N1  - https://doi.org/10.11648/j.ijdsa.20160202.11
DO  - 10.11648/j.ijdsa.20160202.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
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PB  - Science Publishing Group
SN  - 2575-1891
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AB  - The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.
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Dănut-Octavian Simion

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APA Style

Dănut-Octavian Simion. (2016). Using Databases in Decisions Systems for Businesses. International Journal of Data Science and Analysis, 2(2), 15-20. https://doi.org/10.11648/j.ijdsa.20160202.11

Copy | Download

ACS Style

Dănut-Octavian Simion. Using Databases in Decisions Systems for Businesses. Int. J. Data Sci. Anal. 2016, 2(2), 15-20. doi: 10.11648/j.ijdsa.20160202.11

Copy | Download

AMA Style

Dănut-Octavian Simion. Using Databases in Decisions Systems for Businesses. Int J Data Sci Anal. 2016;2(2):15-20. doi: 10.11648/j.ijdsa.20160202.11

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@article{10.11648/j.ijdsa.20160202.11,
  author = {Dănut-Octavian Simion},
  title = {Using Databases in Decisions Systems for Businesses},
  journal = {International Journal of Data Science and Analysis},
  volume = {2},
  number = {2},
  pages = {15-20},
  doi = {10.11648/j.ijdsa.20160202.11},
  url = {https://doi.org/10.11648/j.ijdsa.20160202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20160202.11},
  abstract = {The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Using Databases in Decisions Systems for Businesses
AU  - Dănut-Octavian Simion
Y1  - 2016/11/21
PY  - 2016
N1  - https://doi.org/10.11648/j.ijdsa.20160202.11
DO  - 10.11648/j.ijdsa.20160202.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 15
EP  - 20
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20160202.11
AB  - The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.
VL  - 2
IS  - 2
ER  -

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