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  • Mitscherling, Theres

    Lingua: Inglese

    Editore: Grin Verlag, 2020

    ISBN 10: 3346033546 ISBN 13: 9783346033543

    Da: California Books, Miami, FL, U.S.A.

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    EUR 33,82

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  • Mitscherling, Theres

    Lingua: Inglese

    Editore: Grin Verlag, 2020

    ISBN 10: 3346039048 ISBN 13: 9783346039040

    Da: California Books, Miami, FL, U.S.A.

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    EUR 33,82

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  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, 2020

    ISBN 10: 3346033546 ISBN 13: 9783346033543

    Da: AHA-BUCH GmbH, Einbeck, Germania

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    EUR 24,99

    Spedizione EUR 60,28
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2018 in the subject Computer Science - Commercial Information Technology, grade: 7, Queensland University of Technology (Faculty of Science and Engineering), course: Master in Business Process Management, language: English, abstract: This thesis investigates the project management approach for big data projects for industry partner Red Rocks Company. The aim of this project is to understand best practice project management for big data initiatives and to develop a framework to help such projects to deliver the expected advantages. A brief literature review is undertaken to find out how big data projects are managed. From this, a Big Data Analytics Framework is derived which is based on CRISP-DM. The framework is validated through interviews with stakeholders from the corporate sector. For this case study, the first three phases of the Business Process Management Lifecycle are applied: process discovery, analysis and design. Key findings of the case study are that literature recommends an agile project management approach for big data initiatives. On the contrary, the majority of interviewed industry stakeholders confirmes a waterfall approach is conducted more often to deliver such projects. The developed Big Data Analytics Framework will add significant benefits to Red Rocks Company as it will help to successfully deliver big data initiatives in future. Big data is considered a key enabler for future decision making and process automation. The topic is however very new and not well understood yet. Hence 50% of big data projects are not delivering the expected benefits and are costing more than initially planned.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, 2020

    ISBN 10: 3346039048 ISBN 13: 9783346039040

    Da: AHA-BUCH GmbH, Einbeck, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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    EUR 24,99

    Spedizione EUR 61,07
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2018 in the subject Business economics - Business Management, Corporate Governance, grade: 7, Queensland University of Technology (Faculty of Science and Engineering), course: Master in Business Process Management, language: English, abstract: This case study report undertook a validation exercise of the QUT Business Process Standardisation (BPS) framework. Standardisation is of great significance to organisations as it enables them to operate more efficiently and therefore to be more competitive in an increasingly challenging environment of globalisation. Using a validated BPS framework provides a higher degree of accuracy and therefore increases successes chances of BPS initiatives. It is critical for companies to use a verified concept to minimise risk of failure. Validation of the framework was sought through two research methods. Firstly, targeted interviews were undertaken and analysed to validate the individual steps of the framework. The second part is the application of the framework by standardising an example process of the industry partner Red Rocks Company. For this component, the first three phases of the Business Process Management Lifecycle were applied: process discovery, process analysis and process design. In the last phase, a written policy was developed following the steps of the BPS framework and distributed to stakeholders. Overall, the QUT Business Process Standardisation framework was validated. Significant learnings have been taken by Red Rocks Company. For example, it was identified that process owners are not always assigned within the organisation which leads to low process management maturity. The work has to be viewed within its limitations of the one example process, the selected interviewees and the perspective of only one organisation. The interviews and practical application validated all steps of the framework and confirmed the significance of BPS within a global corporate environment.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, 2020

    ISBN 10: 3346039048 ISBN 13: 9783346039040

    Da: preigu, Osnabrück, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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    EUR 24,99

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    Taschenbuch. Condizione: Neu. Validation of QUTs Business Process Standardisation framework on the example of an industry project | Theres Mitscherling | Taschenbuch | 64 S. | Englisch | 2020 | GRIN Verlag | EAN 9783346039040 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, 2020

    ISBN 10: 3346033546 ISBN 13: 9783346033543

    Da: preigu, Osnabrück, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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    EUR 24,99

    Spedizione EUR 70,00
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. Deriving a big data analytics framework. Approaching the project management process for big data initiatives | A case study | Theres Mitscherling | Taschenbuch | 28 S. | Englisch | 2020 | GRIN Verlag | EAN 9783346033543 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag Feb 2020, 2020

    ISBN 10: 3346033546 ISBN 13: 9783346033543

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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    EUR 24,99

    Spedizione EUR 23,00
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2018 in the subject Computer Science - Commercial Information Technology, grade: 7, Queensland University of Technology (Faculty of Science and Engineering), course: Master in Business Process Management, language: English, abstract: This thesis investigates the project management approach for big data projects for industry partner Red Rocks Company. The aim of this project is to understand best practice project management for big data initiatives and to develop a framework to help such projects to deliver the expected advantages. A brief literature review is undertaken to find out how big data projects are managed. From this, a Big Data Analytics Framework is derived which is based on CRISP-DM. The framework is validated through interviews with stakeholders from the corporate sector. For this case study, the first three phases of the Business Process Management Lifecycle are applied: process discovery, analysis and design. Key findings of the case study are that literature recommends an agile project management approach for big data initiatives. On the contrary, the majority of interviewed industry stakeholders confirmes a waterfall approach is conducted more often to deliver such projects. The developed Big Data Analytics Framework will add significant benefits to Red Rocks Company as it will help to successfully deliver big data initiatives in future. Big data is considered a key enabler for future decision making and process automation. The topic is however very new and not well understood yet. Hence 50% of big data projects are not delivering the expected benefits and are costing more than initially planned. 28 pp. Englisch.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag Feb 2020, 2020

    ISBN 10: 3346039048 ISBN 13: 9783346039040

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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    EUR 24,99

    Spedizione EUR 23,00
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2018 in the subject Business economics - Business Management, Corporate Governance, grade: 7, Queensland University of Technology (Faculty of Science and Engineering), course: Master in Business Process Management, language: English, abstract: This case study report undertook a validation exercise of the QUT Business Process Standardisation (BPS) framework. Standardisation is of great significance to organisations as it enables them to operate more efficiently and therefore to be more competitive in an increasingly challenging environment of globalisation. Using a validated BPS framework provides a higher degree of accuracy and therefore increases successes chances of BPS initiatives. It is critical for companies to use a verified concept to minimise risk of failure. Validation of the framework was sought through two research methods. Firstly, targeted interviews were undertaken and analysed to validate the individual steps of the framework. The second part is the application of the framework by standardising an example process of the industry partner Red Rocks Company. For this component, the first three phases of the Business Process Management Lifecycle were applied: process discovery, process analysis and process design. In the last phase, a written policy was developed following the steps of the BPS framework and distributed to stakeholders. Overall, the QUT Business Process Standardisation framework was validated. Significant learnings have been taken by Red Rocks Company. For example, it was identified that process owners are not always assigned within the organisation which leads to low process management maturity. The work has to be viewed within its limitations of the one example process, the selected interviewees and the perspective of only one organisation. The interviews and practical application validated all steps of the framework and confirmed the significance of BPS within a global corporate environment. 64 pp. Englisch.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, 2019

    ISBN 10: 3346014568 ISBN 13: 9783346014566

    Da: preigu, Osnabrück, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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    EUR 6,99

    Spedizione EUR 70,00
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

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    Taschenbuch. Condizione: Neu. The relationship between Project Management Office (PMO) and project management success within organizations | Theres Mitscherling | Taschenbuch | 16 S. | Englisch | 2019 | GRIN Verlag | EAN 9783346014566 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, GRIN Verlag Feb 2020, 2020

    ISBN 10: 3346039048 ISBN 13: 9783346039040

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

    Contatta il venditore

    Print on Demand

    EUR 24,99

    Spedizione EUR 60,00
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Aggiungi al carrello

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master's Thesis from the year 2018 in the subject Business economics - Business Management, Corporate Governance, grade: 7, Queensland University of Technology (Faculty of Science and Engineering), course: Master in Business Process Management, language: English, abstract: This case study report undertook a validation exercise of the QUT Business Process Standardisation (BPS) framework. Standardisation is of great significance to organisations as it enables them to operate more efficiently and therefore to be more competitive in an increasingly challenging environment of globalisation. Using a validated BPS framework provides a higher degree of accuracy and therefore increases successes chances of BPS initiatives. It is critical for companies to use a verified concept to minimise risk of failure. Validation of the framework was sought through two research methods. Firstly, targeted interviews were undertaken and analysed to validate the individual steps of the framework. The second part is the application of the framework by standardising an example process of the industry partner Red Rocks Company. For this component, the first three phases of the Business Process Management Lifecycle were applied: process discovery, process analysis and process design. In the last phase, a written policy was developed following the steps of the BPS framework and distributed to stakeholders. Overall, the QUT Business Process Standardisation framework was validated. Significant learnings have been taken by Red Rocks Company. For example, it was identified that process owners are not always assigned within the organisation which leads to low process management maturity. The work has to be viewed within its limitations of the one example process, the selected interviewees and the perspective of only one organisation. The interviews and practical application validated all steps of the framework and confirmed the significance of BPS within a global corporate environment.GRIN Publishing GmbH, Waltherstraße 23, 80337 München 64 pp. Englisch.

  • Theres Mitscherling

    Lingua: Inglese

    Editore: GRIN Verlag, GRIN Verlag Feb 2020, 2020

    ISBN 10: 3346033546 ISBN 13: 9783346033543

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania

    Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

    Contatta il venditore

    Print on Demand

    EUR 24,99

    Spedizione EUR 60,00
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Aggiungi al carrello

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master's Thesis from the year 2018 in the subject Computer Science - Commercial Information Technology, grade: 7, Queensland University of Technology (Faculty of Science and Engineering), course: Master in Business Process Management, language: English, abstract: This thesis investigates the project management approach for big data projects for industry partner Red Rocks Company. The aim of this project is to understand best practice project management for big data initiatives and to develop a framework to help such projects to deliver the expected advantages. A brief literature review is undertaken to find out how big data projects are managed. From this, a Big Data Analytics Framework is derived which is based on CRISP-DM. The framework is validated through interviews with stakeholders from the corporate sector. For this case study, the first three phases of the Business Process Management Lifecycle are applied: process discovery, analysis and design. Key findings of the case study are that literature recommends an agile project management approach for big data initiatives. On the contrary, the majority of interviewed industry stakeholders confirmes a waterfall approach is conducted more often to deliver such projects. The developed Big Data Analytics Framework will add significant benefits to Red Rocks Company as it will help to successfully deliver big data initiatives in future. Big data is considered a key enabler for future decision making and process automation. The topic is however very new and not well understood yet. Hence 50% of big data projects are not delivering the expected benefits and are costing more than initially planned.Books on Demand GmbH, Überseering 33, 22297 Hamburg 28 pp. Englisch.