Intranet Governance Sept 2009 Slideshare
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As is the case with most websites or intranets it is simply impossible to achieve any long-lasting success without a clearly defined ownership and management structure. Intranet governance provides clarity and rules: namely the titles, roles and responsibilities of its owners, managers, stakeholders and contributors. However, at the heart of a successful model, is a powerful executive with purse strings, supported by a solid intranet team. This presentation discusses how to build an intranet governance model, and the options for doing so.
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. https://apastyle.apa.org/
. https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html
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. Abstract
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. The problem
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. The solutions
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Gary Schmidt has over 15 years of experience in senior marketing and business development roles in the technology sector. He has expertise in areas such as mobile marketing, customer analytics, CRM, branding, and leveraging new technologies for product development and sales. Schmidt was previously the CEO of AirCloud, where he created the vision and products. Prior to that, he held senior roles at Wescom Capital and Activate.net/Loudeye Corporation, where he was responsible for business partnerships, marketing, and sales. Schmidt has a BA in business and is based in Seattle.
Customer Relationship Program
The document discusses a customer relationship program, including a gap analysis of current programs and recommendations for improvement. It finds that current programs lack coordination, have disjointed efforts across touchpoints, and no formal processes. It provides recommendations in areas like social media, feedback management, and establishing a customer advisory council. It suggests developing a social media strategy, integrating programs with CRM, and addressing issues found in the gap analysis.
1. Research Topic Super Computer Data MiningThe aim of this.docx
1. Research Topic: Super Computer Data Mining
The aim of this project is to produce a super-computing data mining resource for use by the UK academic community which utilizes a number of advanced machine learning and statistical algorithms for large datasets. In particular, a number of evolutionary computing-based algorithms and the ensemble machine approach will be used to exploit the large-scale parallelism possible in super-computing. This purpose is embodied in the following objectives:
1. to develop a massively parallel approach for commonly used statistical and machine learning techniques for exploratory data analysis
1. to develop a massively parallel approach to the use of evolutionary computing techniques for feature creation and selection
1. to develop a massively parallel approach to the use of evolutionary computing techniques for data modelling
1. to develop a massively parallel approach to the use of ensemble machines for data modelling consisting of many well-known machine learning algorithms;
1. to develop an appropriate super-computing infra-structure to support the use of such advanced machine learning techniques with large datasets.
Research Needs:
Problem definition – In the first phase problem definition is listed i.e. business aims and objectives are determined taking into consideration certain factors like the current background and future prospective.
Data exploration – Required data is collected and explored using various statistical methods along with identification of underlying problems.
Data preparation – The data is prepared for modeling by cleansing and formatting the raw data in the desired way. The meaning of data is not changed while preparing.
Modeling – In this phase the data model is created by applying certain mathematical functions and modeling techniques. After the model is created it goes through validation and verification.
Evaluation – After the model is created, it is evaluated by a team of experts to check whether it satisfies business objectives or not.
Deployment – After evaluation, the model is deployed and further plans are made for its maintenance. A properly organized report is prepared with the summary of the work done.
Research paper Policy
· APA format
. https://apastyle.apa.org/
. https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html
· Min number of pages are 15 pages
· Must have
. Contents with page numbers
. Abstract
. Introduction
. The problem
4. Are there any sub-problems?
4. Is there any issue need to be present concerning the problem?
. The solutions
5. Steps of the solutions
. Compare the solution to other solution
. Any suggestion to improve the solution
. Conclusion
. References
· Missing one of the above will result -5/30 of the research paper
· Paper does not stick to the APA will result in 0 in the research paper
· Submission
. you have multiple submission to check you safe assignments
. The percentage accepted is 1%.
1. Research Topic Super Computer Data MiningThe aim of this.docx
1. Research Topic: Super Computer Data Mining
The aim of this project is to produce a super-computing data mining resource for use by the UK academic community which utilizes a number of advanced machine learning and statistical algorithms for large datasets. In particular, a number of evolutionary computing-based algorithms and the ensemble machine approach will be used to exploit the large-scale parallelism possible in super-computing. This purpose is embodied in the following objectives:
1. to develop a massively parallel approach for commonly used statistical and machine learning techniques for exploratory data analysis
1. to develop a massively parallel approach to the use of evolutionary computing techniques for feature creation and selection
1. to develop a massively parallel approach to the use of evolutionary computing techniques for data modelling
1. to develop a massively parallel approach to the use of ensemble machines for data modelling consisting of many well-known machine learning algorithms;
1. to develop an appropriate super-computing infra-structure to support the use of such advanced machine learning techniques with large datasets.
Research Needs:
Problem definition – In the first phase problem definition is listed i.e. business aims and objectives are determined taking into consideration certain factors like the current background and future prospective.
Data exploration – Required data is collected and explored using various statistical methods along with identification of underlying problems.
Data preparation – The data is prepared for modeling by cleansing and formatting the raw data in the desired way. The meaning of data is not changed while preparing.
Modeling – In this phase the data model is created by applying certain mathematical functions and modeling techniques. After the model is created it goes through validation and verification.
Evaluation – After the model is created, it is evaluated by a team of experts to check whether it satisfies business objectives or not.
Deployment – After evaluation, the model is deployed and further plans are made for its maintenance. A properly organized report is prepared with the summary of the work done.
Research paper Policy
· APA format
. https://apastyle.apa.org/
. https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html
· Min number of pages are 15 pages
· Must have
. Contents with page numbers
. Abstract
. Introduction
. The problem
4. Are there any sub-problems?
4. Is there any issue need to be present concerning the problem?
. The solutions
5. Steps of the solutions
. Compare the solution to other solution
. Any suggestion to improve the solution
. Conclusion
. References
· Missing one of the above will result -5/30 of the research paper
· Paper does not stick to the APA will result in 0 in the research paper
· Submission
. you have multiple submission to check you safe assignments
. The percentage accepted is 1%.
Intranet Governance At BT
BT developed an intranet strategy aligned with its overall business strategy. It established a governance model with central and content teams. The intranet strategy aimed to reduce costs and grow revenues by making information accessible from any device. BT defined formal, team, crowd, and personal content types with standards. It surveyed users annually and benchmarked its intranet, which was rated the top intranet in areas of strategy, communication, performance, and design.
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Intranet Governance Sept 2009 Slideshare
- 1. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Toby Ward, Prescient Digital Media Intranet Governance: How to Run an Intranet Condensed version. Please contact us for full version.
- 3. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution + Additional info on…
- 12. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Nexus of Intranet Success
- 14. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 19. Collaborative Governance Model Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Editor-In-Chief Intranet Council Co-Champions CIO & VP Editorial Committee Corporate Communications Advisory Group Human Resources
- 20. Financial Svcs – Centralized Hybrid Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 21. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Case Study: Collaborative
- 22. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 23. PNC Bank Intranet – Collaborative Model Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 24. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Case Study: Centralized Hybrid
- 25. Centralized Hybrid Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Content Contributors Editor in Chief Intranet Advisory Council Intranet Owner IS&T Support Government Services Diversity Healthcare Services/ Laundry Finance Education Market Corporate Services Key Geographies Senior Leadership Champion Steering Committee HR Supply Management Marketing Law IS&T Content Area Owners
- 35. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Policies & Standards
- 39. Strictly Confidential © 2009 Prescient Digital Media Not For Distribution Government of Western Australia
- 40. Government of Western Australia Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 41. Government of Western Australia Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 42. Government of Western Australia Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 43. Government of Western Australia Strictly Confidential © 2009 Prescient Digital Media Not For Distribution
- 49. Free consulting / Q&A
- 50. Toby Ward, President, Prescient Digital Media [email_address] www.PrescientDigital.com www. IntranetBlog.com www.Twitter.com/TobyWard www.Twitter.com/Intranet2 www.Facebook.com (search “Intranet Global Forum”) 416.986.2226