<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>aimsjournal</PublisherName>
      <JournalTitle>Allana Management Journal of Research, Pune</JournalTitle>
      <PISSN>? ?2581-3137 (</PISSN>
      <EISSN>) 2231 - 0290 (Print)</EISSN>
      <Volume-Issue>Volume 7, Issue 2</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>July 2017 - December 2017</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Human Resource Management</ArticleType>
      <ArticleTitle>Impact of In-House Implementation of Business Intelligence with Reference to Industries in ITES sector in __ampersandsign around Pune</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>35</FirstPage>
      <LastPage>44</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Mr. Santaji P</FirstName>
          <LastName>Ghorpade</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
          <FirstName>Prof. (Dr.) Manik</FirstName>
          <LastName>Kadam</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Todaycs digital era and competitive edge is highly influenced by the DATA. The raw data when processed and handled properly creates the meaningful information. In any Business Organization information acts as one of its vital assets which cover all the three levels i.e from operational to strategic. In today__ampersandsign#39;s data driven world, data is at the heart of every organization. Business Intelligence (BI) is a skilled technique of processing and transforming the raw data into meaningful information thereby producing new insights and supporting the high-end decision-making to yield real business benefits. Sustainability __ampersandsign growth of Business can be achieved through Effective and Efficient In-House Implementation of Business Intelligence. This paper highlights the impacts that in-house implementation of BI has made on various ITES sector industries (Banking, Insurance, telecom and Healthcare) in and around Pune. The findings reveal how BI enhances the Sustainability and Growth of a Business by affecting its key areas. The respondents are the CIO__ampersandsign#39;s / CIU__ampersandsign#39;s (Chief Information Officer__ampersandsign#39;s / User__ampersandsign#39;s) who rely heavily on the data for Business Processes to function properly. Based on the findings a suitable model has been proposed by the researcher.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>In-House,Business Intellengence,Knowledge Management,ITES,ICT,Effeciency,Effectiveness</Keywords>
      <URLs>
        <Abstract>https://aimsjournal.org/ubijournal-v1copy/journals/abstract.php?article_id=4082&title=Impact of In-House Implementation of Business Intelligence with Reference to Industries in ITES sector in __ampersandsign around Pune</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References>"Business Intelligence In ITES Sector Industries In And Around Pune: A Paradigm Shift", Santaji P Ghorpade, Dr Manik Kadam, CHECKMATE 2017, International Conference, AIMS, Pune
	Q. Zhou, B. Xia, W. Xue, C. Zeng, R. Han and T. Li, "An Advanced Inventory Data Mining System for Business Intelligence," 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService), San Francisco, CA, 2017, pp. 210-217.





	L. Yuanxin, R. Jing and J. Hui, "Notice of Retraction
	Transform the Management of the Commercial Banks in China with a Balanced Scorecard and BI-Centralized Performance System," 2009 International Forum on Information Technology and Applications, Chengdu, 2009, pp. 369-372.





	B. Wu and L. Qin, "Design and implementation of Business-Driven BI platform based on cloud computing," 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, Beijing, 2011, pp. 118-122.





	O. T. Ali, A. B. Nassif and L. F. Capretz, "Business intelligence solutions in healthcare a case study: Transforming OLTP system to BI solution," 2013 Third International Conference on Communications and Information Technology (ICCIT), Beirut, 2013, pp. 209-214.





	P. Brooks, O. El-Gayar and S. Sarnikar, "Towards a Business Intelligence Maturity Model for Healthcare," 2013 46th Hawaii International Conference on System Sciences, Wailea, HI, USA, 2013, pp. 3807-3816.





	O. Ali and A. Ouda, "A content-based data masking technique for a built-in framework in Business Intelligence platform," 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), Windsor, ON, 2017, pp. 1-4.




Text Books




	ReemaThareja, "Data Warehouse", Publisher: Oxford University Press.
	Jiawei Han, MichelineKamber, Jian Pei "Data Mining: concepts and techniques", 2nd Edition, Publisher: Elsevier/Morgan Kaufmann.
	Ralph Kimball, Margy Ross, "The Data Warehouse Toolkit", 3rd edition, Publisher: Wiley




Reference Books




	William Inmon, "Building the Data Warehouse", Wiley publication 4 th edition.
	Efrem G. Mallach, "Decision Support And Data Warehouse Systems", 1st Edition Publisher: Tata McGraw-Hill Education,. ISBN-10: 0072899816.
	Efraim Turban, Ramesh Sharda, DursunDelen, David King, "Business Intelligence", ISBN-10: 013610066X Publisher: Prentice Hall.ISBN-13: 9780136100669.
	Dorian Pyle, "Business Modeling and Data Mining", Elsevier Publication MK.




Websites

i. www.searchdatamanagement.techtarget.com

ii. Gartner Group, survey of 1,400 CIOs, February 2007.

iii. www.scribd.com

iv. www.sap.com

v. www.accenture.com

vi. https://en.wikipedia.org/wiki/Howard_Gardner.

vii. SAP Web site, July 2007.

viii. The Economist Intelligence Unit 2007

ix. www.sas.com

x. www.businessdecision.co.uk

xi. www.businessobjects.com

xii. www.insight.businessobjects.com

xiii. https://www.slideshare.net/Gartner/gartners-itscore-for-bpm-maturity</References>
      </References>
    </Journal>
  </Article>
</ArticleSet>