scholarly journals A New Approach to Business Value Driven Planning for Data Projects

2019 ◽  
Author(s):  
Tadhg Nagle ◽  
David Sammon ◽  
Walter Cleary
Keyword(s):  
New Technology ◽  
Business Value ◽  
Public And Private ◽  
New Approach ◽  
The Past ◽  
Data Value ◽  
Private Sector Organizations ◽  
Public And Private Sector ◽  
The Internet Of Things

With the advent of new technology and digital trends, realizing value from data is a top priority for organizations. Along with this, the increased awareness that every business is a data business is beginning to take hold, especially in organizations engaging in data projects through the use of technologies such as Big Data, the Internet of Things and Advanced Analytics. However, it has been shown that there is a lack of understanding on how these projects will deliver value or benefit for the organization (LaValle et al. 2011). Or indeed, there is a lack of understanding on how to effectively manage and govern such projects and capabilities (Tallon 2013). In other words, implementing a data project does not automatically deliver business value, execute as expected, or make your organization data driven. To make your organization more effective when implementing data projects and developing a mature data capability, conversations need to be initiated between stakeholders and focus on the key problem to be solved by the data project. This focus is provided by answering six simple questions: why, what, when, who, where, and how. Yet, given the multitude of conversations that need to take place around the problem there are a lack of appropriate tools that can enable stakeholders to reach a shared understanding when planning data projects. Our research with major public and private sector organizations over the past three years has resulted in the development of a new ‘discursive template’ (c.f. Tsoukas and Chia 2002) (namely the Data Value Map - DVM to promote new transformative conversations within data projects while also producing a more rigorous and robust validation of the potential value of those projects. Moreover, this new approach is the output of four studies, which include: (i) a survey of over 50 organizations worldwide which examined the drivers, goals and barriers of data analytics, (ii) an analysis of 18 projects focused on developing data solutions, (iii) an analysis of over 100 implementations of the DVM, and (iv) one in-depth case study with multiple implementations. The objective of this paper is to present both our new approach for planning data projects along with the insights gained from these studies.

scholarly journals From the First Mile to Outer Space: Tamaani Satellite Internet in Northern Quebec

2013 ◽  
Vol 10 (2) ◽  
Author(s):  
Rob McMahon ◽  
Thomassie Mangiok
Keyword(s):  
Outer Space ◽  
Regional Government ◽  
Rural And Remote ◽  
Community Based ◽  
Public And Private ◽  
The People ◽  
Digital Divides ◽  
Private Sector Organizations ◽  
Public And Private Sector

Across Canada, discrepancies of access to broadband exist between urban centres and rural and remote Aboriginal communities. Government, public and private sector organizations are partnering to address these digital divides. Some employ a ‘First Mile’ approach that foregrounds how community-based institutions are driving development. This article provides a First Mile case study from the Inuit territory of Nunavik. We describe the cultural, social and political contexts the people of Nunavik and their government navigated to establish broadband in the region’s 14 northern villages. The Kativik Regional Government is building and administering infrastructure that delivers public services and encourages economic development, balancing centralized efficiencies with the needs of residents in villages like Ivujivik.

scholarly journals THE CONTRIBUTION OF NGOS IN ENVIRONMENTAL EDUCATION: AN EVALUATION OF STAKEHOLDERS' PERCEPTION

2016 ◽  
Vol 19 (3) ◽  
pp. 47-66 ◽  
Author(s):  
VIRGÍNIA TALAVEIRA VALENTINI TRISTÃO ◽  
JOSÉ AMÉRICO MARTELLI TRISTÃO
Keyword(s):  
Environmental Education ◽  
Teaching Method ◽  
Public And Private ◽  
Contemporary World ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
The Social ◽  
Private Sector Organizations ◽  
Social Environmental ◽  
Public And Private Sector

Abstract Environmental education practiced by non-governmental organizations (NGOs) presents itself as a new teaching method directed at changing habits, attitudes and social practices seeking solutions for the social-environmental degradation afflicting the contemporary world. This work seeks to identify the perception and expectations of stakeholders regarding the contribution of NGOs in environmental education. The research was guided by the Delphi method and, as a result, verified that the involved stakeholders understand that environmental education practiced by NGOs must be ample, free, professionalized and directed towards all the segments of society via partnerships with public and private sector organizations.

The Intersection of Data Analytics and Data-Driven Innovation

2020 ◽  
pp. 317-343
Author(s):  
Marcus Tanque ◽  
Harry J. Foxwell
Keyword(s):  
Private Sector ◽  
Data Analytics ◽  
Large Scale ◽  
Data Driven ◽  
Public And Private ◽  
Managerial Practices ◽  
Project Completion ◽  
Technological Advances ◽  
Private Sector Organizations ◽  
Public And Private Sector

This chapter discusses businesses, key technology implementations, case studies, limitations, and trends. It also presents recommendations to improve data analysis, data-driven innovation, and big data project implementation. Small-to-large-scale project inefficiencies present unique challenges to both public and private sector institutions and their management. Data analytics management, data-driven innovation, and related project initiatives have grown in scope, scale, and frequency. This evolution is due to continued technological advances in analytical methods and computing technologies. Most public and private sector organizations do not deliver on project benefits and results. Many organizational and managerial practices emphasize these technical limitations. Specialized human and technical resources are essential for an organization's effective project completion. Functional and practical areas affecting analytics domain and ability requirements, stakeholder expectations, solution infrastructure choices, legal and ethical concerns will also be discussed in this chapter.

Internet of Things (IoT) Interoperability Success Criteria

2021 ◽  
Vol 17 (1) ◽  
pp. 85-105
Author(s):  
Hany Abdelghaffar ◽  
Mohamed Abousteit
Keyword(s):  
Internet Of Things ◽  
Selection Criteria ◽  
Business Value ◽  
Digital Service ◽  
Iot Platform ◽  
Digital Services ◽  
Iot Platforms ◽  
Technical Factors ◽  
The Internet Of Things

To deliver more value to customers, companies are striving to offer more digital services, and the internet of things (IOT) is the main enabler to maximize such value. However, one of the major challenges companies are facing is digital service integration with other providers, where IoT platform is playing important role to achieve such integration opening door for interoperability within actors in the IoT ecosystem. There have been a little research addressing IoT platforms interoperability from business value perspective, considering technical and non-technical factors as selection criteria to adopt such platforms. This paper uses a case study as a method. To validate the suggested interoperability criteria, interviews were conducted for IoT platform providers and two things providers. It was observed that considering technical factors alone when selecting IoT platform make companies oversee the value technology add to their business as IoT platform is not only about technology but also about business model in which this platform will be operating and the company position and role in IoT ecosystem. The paper contributes by providing criteria to achieve interoperability for IoT platform from both technical and business aspects.

scholarly journals Identifying Risk Factors of Boot Procurement: A Case Study of Stadium Australia

2012 ◽  
Vol 4 (1) ◽  
pp. 11-20
Author(s):  
Marcus Jefferies ◽  
Swee Eng Chen
Keyword(s):  
Risk Factors ◽  
Private Sector ◽  
Significant Risk ◽  
Public Works ◽  
Infrastructure Development ◽  
Public And Private ◽  
Public And Private Sector ◽  
High Level ◽  
Bidding Process

Private sector input into the procurement of public works and services is continuing to increase. This has partly arisen out of a requirement for infrastructure development to be undertaken at a rate that maintains and allows growth. This has become a major challange for the construction industry that cannot be met by government alone. The emergence of Build-Own-Operate-Transfer (BOOT) schemes as a response to this challange provides a means for developing the infrastructure of a country without directly impacting on the governments budgetary constraints. The concepts of BOOT are without doubt extremely complex arrangements, which bring to the construction sector risks not experienced previously. Many of the infrastructure partnerships between public and private sector in the pastare yet to provide evidence of successful completion, since few of the concession periods have expired. This paper provides an identified list of risk factors to a case study of Stadium Australia. The most significant risk associated with Stadium Australia include the bidding process, the high level of public scrutiny, post-Olympic Games facility revenue and the complicated nature of the consortium structure.  

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