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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 61 to 69 of 69 (0.061 seconds)Spelling suggestions: "subject:"business analytics"" "subject:"business dialytics""
| 61 |
Big and Small Data for Value Creation and Delivery: Case for Manufacturing FirmsStout, Blaine David, PhD January 2018 (has links)
No description available.
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| 62 |
Generating What-If Scenarios for Time Series DataKegel, Lars, Hahmann, Martin, Lehner, Wolfgang 18 August 2022 (has links)
Time series data has become a ubiquitous and important data source in many application domains. Most companies and organizations strongly rely on this data for critical tasks like decision-making, planning, predictions, and analytics in general. While all these tasks generally focus on actual data representing organization and business processes, it is also desirable to apply them to alternative scenarios in order to prepare for developments that diverge from expectations or assess the robustness of current strategies. When it comes to the construction of such what-if scenarios, existing tools either focus on scalar data or they address highly specific scenarios. In this work, we propose a generally applicable and easy-to-use method for the generation of what-if scenarios on time series data. Our approach extracts descriptive features of a data set and allows the construction of an alternate version by means of filtering and modification of these features.
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| 63 |
<b>Using Predictive Analytics to Reduce Small Business Cost Estimation Error</b>Diana H Solt (17222431) 19 October 2023 (has links)
<p dir="ltr">Small and medium enterprises generally employ the use of custom developed quoting programs to bid on goods and services. Custom bid programs (e.g., Microsoft Excel) are used to capture the company-specific costs of production. The inputs of variable costs, such as machine rate and scrap rate, are critical to get correct (Brassington & Pettitt, 2013); however, companies often rely on educated guesses and industry expertise to quote packaging products to end-users. Due to the guesswork involved there can be a financial difference between the quoted costs and actual costs. This variance is often the cause of significant lost dollars. Price, if not determined correctly, could negatively impact both the company’s and the product’s profitability (Helna, 2020). Predictive analytics can be used to support quoting activities by providing a future value based on previous job performance. The purpose of the present study is to identify whether predictive analytics can be used to predict machine rate and scrap rate to give more accuracy to quoting estimation.</p>
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| 64 |
How Can Business Analytics Induce Creativity: The Performance Effects of User Interaction with Business AnalyticsSoukieh, Tarek 12 May 2016 (has links)
No description available.
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| 65 |
Born in the U.S.A. / Made in the G.D.R.: Anglo-American Popular Music and the Westernization of a Communist Record MarketKube, Sven 29 March 2018 (has links)
Scholars from various disciplines have demonstrated that popular culture factored significantly in Cold War contestation. As a pervasive form of cultural content and unifying medium for baby boomers worldwide, pop music played an important part in the power struggle between the era’s two adversarial camps. Historical studies of the past thirty years have identified initiatives of cultural diplomacy, from radio broadcasting to live concert tours, as key to disseminating Western music in Eastern Bloc societies. This project explains how cultural commerce across the divide of the Iron Curtain familiarized millions of music fans in the German Democratic Republic (GDR) with popular sounds from the United States, the United Kingdom, and other Western democracies. Detailing a process that affected all Bloc states in similar ways, it seeks to enrich the scholarly discourse on the role of pop culture in the twentieth century’s defining ideological conflict.
Through analysis of previously unavailable or inaccessible sources, the dissertation reconstructs the economic development of a communist culture industry and measures the commercial significance of Western commodities in one Eastern Bloc marketplace. Drawing on untapped archival files, it traces the evolution of Deutsche Schallplatten (German Records) from a small private firm into a flagship enterprise on the GDR’s cultural circuit. It illuminates how dependency on technology and resources from capitalist countries prompted East Germany’s managers to prioritize the westward export of classical recordings for the purpose of earning hard currencies. Based on oral histories of contemporary witnesses, it documents how the Amiga label through the parent company’s business ties to capitalist partners advanced the import of Western jazz, blues, rock, pop, and dance music to exhaust the purchasing power of the home audience. Empirically evaluating formerly classified production data for a total of 143 million records, it reveals how the state-owned monopolist engineered a de facto takeover of the domestic marketplace by American, British, and West German performers to achieve high profitability. The dissertation argues that intensifying Westernization of its walled-in music market exemplified the GDR’s decision to concede the Cold War battle over cultural preferences and political loyalties of its citizens out of economic necessity.
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| 66 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman 26 November 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 67 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman 26 November 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 68 |
Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance MonitoringJohari Shirazi, Iman January 2012 (has links)
Organizations use Business Intelligence (BI) systems to monitor how well they are meeting
their goals and objectives. Yet, very often BI systems do not include clear models of
the organization’s goals or of how to measure whether they are satisfied or not. Several
researchers now attempt to integrate goal models into BI systems, but there are still major
challenges related to how to get access to the BI data to populate the part of the goal
model (often indicators) used to assess goal satisfaction.
This thesis explores a new approach to integrate BI systems with goal models. In
particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI
tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open
source graphical editor for the User Requirements Notation (URN), which includes the
Use Case Map notation for scenarios and processes and the Goal-oriented Requirement
Language for business objectives. URN was recently extended with the concept of Key
Performance Indicator (KPI) to enable performance assessment and monitoring of business
processes. In jUCMNav, KPIs are currently calculated or modified manually. The
new integration proposed in this thesis maps these KPIs to report elements that are generated
automatically by Cognos based on the model defined in jUCMNav at runtime, with
minimum effort. We are using IBM Cognos Mashup Service, which includes web services
that enable the retrieval of report elements at the most granular level. This transformation
provides managers and analysts with useful goal-oriented and process-oriented
monitoring views fed by just-in-time BI information. This new solution also automates
retrieving data from Cognos servers, which helps reducing the high costs usually caused
by the amount of manual work required otherwise.
The novel approach presented in this thesis avoids manual report generation and
minimizes any contract with respect to the location of manually created reports, hence
leading to better usability and performance. The approach and its tool support are illustrated
with an ongoing example, validated with a case study, and verified through testing.
|
| 69 |
Good GameBlake, Greyory 01 January 2018 (has links)
This thesis and its corresponding art installation, Lessons from Ziggy, attempts to deconstruct the variables prevalent within several complex systems, analyze their transformations, and propose a methodology for reasserting the soap box within the display pedestal. In this text, there are several key and specific examples of the transformation of various signifiers (i.e. media-bred fear’s transformation into a political tactic of surveillance, contemporary freneticism’s transformation into complacency, and community’s transformation into nationalism as a state weapon). In this essay, all of these concepts are contextualized within the exponential growth of new technologies. That is to say, all of these semiotic developments must be framed within the post-Internet sphere.
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