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Managing operational business intelligence workloads

Umeshwar Dayal, Harumi Kuno, Janet L. Wiener, Kevin Wilkinson, Archana Ganapathi, Stefan Krompass
2009 ACM SIGOPS Operating Systems Review  
We explore how to manage database workloads that contain a mixture of OLTP-like queries that run for milliseconds as well as business intelligence queries and maintenance tasks that last for hours.  ...  As data warehouses grow in size to petabytes and complex analytic queries play a greater role in day-to-day business operations, factors such as inaccurate cardinality estimates, data skew, and resource  ...  INTRODUCTION Business Intelligence (BI) is at a turning point today.  ... 
doi:10.1145/1496909.1496927 fatcat:2maubfsz55denoasnhbyz7725u

Workforce planning and management FIT in call centers

Rafael E. Padilla-Vega, Cynthia Iris Sénquiz-Díaz, Angel Ojeda-Castro
2020 Strategic HR Review  
One of the current challenges human resources professionals encounter in call centers is workforce planning and management.  ...  Besides, the daily constraints in service levels add to conflict augmentation between essential business functions.  ...  Conclusion Workforce planning and management is a challenging task for all managers. The implementation of FIT facilitates decision-making and improves the daily operation of any business.  ... 
doi:10.1108/shr-02-2020-176 fatcat:f6nd6x2njvgl5k5wyiiiagcxbq

Enhancing Business Intelligence in a Smarter Computing Environment through Cost Analysis

Saurabh Kacker, Vandana Choudhary, Tanupriya Choudhury, Vasudha Vashisht
2011 International Journal of Advanced Computer Science and Applications  
The paper aims at improving Business Intelligence in a Smarter Computing Environment through Cost Analysis.  ...  The paper looks at various performance metrics to lower the cost of implementing Business intelligence in a smarter computing environment, to generate a cost efficient system.  ...  Business Intelligence gives you the information when you need it, in the format you need.  ... 
doi:10.14569/ijacsa.2011.021228 fatcat:syoylgn2wjgl7caznhe4ovqway

Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters

Vincent van Beek, Jesse Donkervliet, Tim Hegeman, Stefan Hugtenburg, Alexandru Iosup
2015 Computer  
business-critical workloads.  ...  WORKLOAD CHARACTERISTICS Business-critical workloads differ significantly from scientific and analytic workloads in the level of customer data sensitivity.  ...  to business-critical workloads.  ... 
doi:10.1109/mc.2015.206 fatcat:2byzbcnwyzas3bn4kuv2qc2b6q

Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value [chapter]

Ahmed A.A. Gad-Elrab
2021 E-Business - Higher Education and Intelligence Applications  
Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value.  ...  BI is the process on available data to extract, analyze and predict business-critical insights.  ...  I also thank IntechOpen Limited for giving the opportunity for publishing this research work as a book chapter in E-Business. © 2021 The Author(s). Licensee IntechOpen.  ... 
doi:10.5772/intechopen.97374 fatcat:leggg5nfyvhabkktmspsdwfkru

Application of Business Intelligence in Decision Support to Hospital Management: An Example of Outpatient Clinic Schedule Arrangement [chapter]

Pei-Chia Hsu, Wei-Ni Huang, Kuei-Miao Kuo, Yu-Ting Yeh
2022 Studies in Health Technology and Informatics  
We recommend the research could integrate more data (such as temperature data, national death population data record), so as to be closed to hospital operating cost control and to estimate patients' needs  ...  The value of this research is that the information provided by the dashboard allows hospital managers problems respond to it quickly.  ...  Business intelligence dashboards can assist medical managers in monitoring information from a hospital organization for decision support.  ... 
doi:10.3233/shti220262 pmid:35673200 fatcat:wasgecfqh5c3tewblpk4vr5x6m

Next Generation Business Intelligence and Analytics: A Survey [article]

Quoc Duy Vo, Jaya Thomas, Shinyoung Cho, Pradipta De, Bong Jun Choi, Lee Sael
2017 arXiv   pre-print
Business Intelligence and Analytics (BI&A) is the process of extracting and predicting business-critical insights from data.  ...  Especially with the growing number of data sources, traditional BI\&A are evolving to provide intelligence at different scales and perspectives - operational BI, situational BI, self-service BI.  ...  Data warehousing and business intelligence management focuses on providing decision support data for reporting, query, and analysis.  ... 
arXiv:1704.03402v1 fatcat:u4taz2phbzgknm5bpgxazq7y2e

A Paradigm Shift towards On-Premise Modern Data Center Infrastructure for Agility and Scalability in Resource Provisioning

Bharani Dharan G
2020 International Journal of Advanced Trends in Computer Science and Engineering  
In this paper the proposed Composable Infrastructure which supports all kinds of traditional and modern workloads with fluid pool of independent resource provisioning can be done intelligently through  ...  In this Modern Era, Datacenters are the backbone of today's enterprise businesses.  ...  Intelligence in COI can be achieved through implementing Software-Defined approach in life cycle management of hardware components.  ... 
doi:10.30534/ijatcse/2020/111942020 fatcat:by3e4chlize4xn2s6ch772xkha

Page 27 of SMPTE Motion Imaging Journal Vol. 121, Issue 2 [page]

2012 SMPTE Motion Imaging Journal  
App Health Mgmt & Self-Healing Oss Service Quality Service Operations Management Mgmt Optimization Heterogeneous Platform Optimized Workload Management Placement Integration Security Management _ identity  ...  Business Process As a Service Software As a Service Platform As a Service Analytics Deployment Automation Workload & Topology Continuously Available Apps Process Management Life Cycle Traceability identity  ... 

TAS SLI - Case Study Team [article]

Shaun D'Souza, Varun Verma, Varsha Yadav, Shyamalendu Mohanty
2019 Figshare  
Intelligent machines, Turing test, Web N, 10 Billion users. Cloud computing combined with service oriented architecture (SOA) and parallel computing have influenced application software development.  ...  total cloud workloads will be Infrastructure-as-a-Service (IaaS) workloads, down from 42 percent in 2014. • By 2019, 11 percent of the total cloud workloads will be Platform-as-a-Service (PaaS) workloads  ...  • Intelligent machines, Turing test, Web N, 10 Billion users • Cloud computing combined with service oriented architecture (SOA) and parallel computing have influenced application software development.  ... 
doi:10.6084/m9.figshare.7857710 fatcat:4ztmj4iypzcq7itl7plw2zre4a

Factors to Determine Business Intelligence Implementation in Organizations

Michael Smith Moreno Saavedra, Christian Bach
2017 European Journal of Engineering Research and Science  
A comprehensive literature review of business intelligence created a theoretical foundation for this paper.  ...  The primary goal of this study was to investigate the user's satisfaction, cost reducing, and time optimization implications in order to choose Business Intelligence as a business tool.  ...  Operational BI and mixed workloads are a great challenge for current database management systems [12] .  ... 
doi:10.24018/ejers.2017.2.12.527 fatcat:aqdsldhdbff23cz47lbwizpncm


2009 Issues in Information Systems  
This paper also illustrates the computing, operational, and productivity issues facing BI as well as presents frameworks that may offer new delivery mechanisms for business intelligence.  ...  This paper, defines and explicates the notion of business intelligence, identifies some of the major players in the business intelligence arena and discusses their offerings.  ...  In order to correct this situation, they propose an effective workload management system that can identify and handle long-running queries and provide workload management actions not only to admission  ... 
doi:10.48009/1_iis_2009_51-61 fatcat:ucerujm2r5dhlhhymf7olnsmjm

Computer systems research at HP labs

Jeffrey C. Mogul, Jay J. Wylie
2009 ACM SIGOPS Operating Systems Review  
Managing Operational Business Intelligence Workloads. Enterprise-wide "operational BI" systems must support mixed workloads, with large variations in complexity and resource requirements.  ...  Computer systems often rely on some feedback loop to adapt to changes in the workload or operating environment.  ... 
doi:10.1145/1496909.1496912 fatcat:bvzxnbdkcjedhoxye3uj7r2diu

Evolution Of Technology And Skills In Production Workplaces Utilizing Advanced TPS

Manabu Yamaji, Hirohisa Sakai, Kakuro Amasaka
2011 Journal of Business & Economics Research  
Therefore, in this paper, the authors focus on "intellectual working value" and propose the basic principle of intellectual working value improvement and the "Working Value Improvement Management Model  ...  The authors think that "intellectual working value" is an important factor in quality management. The evolution of technology and skills is necessary to raise "intellectual working value".  ...  The last (d) is to develop intelligent operators (skill level improvement) and to establish an intelligent production operating system.  ... 
doi:10.19030/jber.v5i6.2555 fatcat:wdoxj3ghu5ehzla6jp6loctdhu

Benchmarking data warehouse systems in the cloud

Rim Moussa
2013 2013 ACS International Conference on Computer Systems and Applications (AICCSA)  
argue that TPC-H benchmark -the most prominent benchmark for decision support system, mismatches cloud rationale (scalability, elasticity, pay-per-use, fault-tolerance features) and Customer Relationship Management  ...  Business intelligence often uses data provided by Data Warehouse Systems, in order to provide historical, current and predictive views of business operations.  ...  Also, the Business Intelligence market continues growing and information analysts embrace well OLAP concepts and related technologies (Microsoft Analysis Services, Oracle Business Intelligence, Pentaho  ... 
doi:10.1109/aiccsa.2013.6616442 dblp:conf/aiccsa/Moussa13 fatcat:y4mcf7xk3zdjzgd473dufhpeau
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