Lack of alignment between information technology (IT) and the business is a problem facing many organizations. Most organizations, today, fundamentally depend on IT. When IT and the business are aligned in an organization, IT delivers what the business needs and the business is able to deliver what the market needs. IT has become a strategic function for most organizations, and it is imperative that IT and business are aligned. IT governance is one of the most powerful ways to achieve IT to business alignment. Furthermore, as the use of cloud computing for delivering IT functions becomes pervasive, organizations using cloud computing must effectively apply IT governance to it. While cloud computing presents tremendous
opportunities, it comes with risks as well. Information security
is one of the top risks in cloud computing. Thus, IT governance must be applied to cloud computing information security to help manage the risks associated with cloud computing information security. This study advances knowledge by extending IT governance to cloud computing and information security governance.
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
Accounting Information Systems Australasian 1st Edition Romney Solutions Manualxexunidop
Full download : https://alibabadownload.com/product/accounting-information-systems-australasian-1st-edition-romney-solutions-manual/
Accounting Information Systems Australasian 1st Edition Romney Solutions Manual
For all business assignments, projects, slides and internship please contact me on below email:
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
Accounting Information Systems Australasian 1st Edition Romney Solutions Manualxexunidop
Full download : https://alibabadownload.com/product/accounting-information-systems-australasian-1st-edition-romney-solutions-manual/
Accounting Information Systems Australasian 1st Edition Romney Solutions Manual
For all business assignments, projects, slides and internship please contact me on below email:
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
rabi_117@hotmail.com
INFORMATION SYSTEMS, ORGANIZATIONS, AND STRATEGY for management information s...Tonmoy zahid Rishad
Identify and describe important features of organizations that managers need to know about in order to build and use information systems successfully.
•Demonstrate how Porter’s competitive forces model helps companies develop competitive strategies using information systems.
•Explain how the value chain and value web models help businesses identify opportunities for strategic information system applications.
26 9133 data innovation resource edit satIAESIJEECS
The part of data innovation in information administration has dependably been a begging to be proven wrong subject in writing and practice. In spite of existing documentation with respect to the connection between IT assets what's more, information administration, restricted data is accessible on the diverse sorts of IT assets portraying this relationship. We coordinate two research streams rising in information administration what's more, broaden the writing on IT knowledge administration linkage by examining the directing part of asset sense of duty regarding conjure an unexpected asset point of view. Information from 168 associations in China give exact proof that three sorts of IT assets emphatically influence information administration capacity (IAC), which is decidedly related to upper hand. Moreover, this examination distinguishes two positive semi directing impacts of asset responsibility on the IT resource–IAC relationship. In particular, asset duty straightforwardly what's more, emphatically upgrades IAC, and reinforces the impacts of IT human and IT relationship assets on IAC. We talk about the hypothetical and viable ramifications of the outcomes.
An Empirical Study on the information systems in the Moroccan organizations: ...INFOGAIN PUBLICATION
An information system, it’s the key point of the success of companies [5] [6]. Where from the necessity of investing to develop information systems, these investments concern to infrastructures, application software’s, set up systems, and existing processes. Companies have to follow policies to manage well their investment of information systems in an economic and optimal way, it is the subject of this paper. To validate our subject, our hypothesis, a study of ground was necessary. We opted for an empirical study on the information systems of the high-level Moroccan organizations in various sectors, by basing itself on scientific foundations. The study and the data analysis allowed us to propose new simplified models.
In this presentation, we will discuss in depth about the importance of technology in business, what IT governance is and its impact.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
Core model of information technology governance system design in local govern...TELKOMNIKA JOURNAL
Information technology governance (ITG) in local government is aimed at a good governance service framework. Reports produced as a result of the framework’s implementation help to improve governance’s openness, potency, and efficiency. A strong governance structure for adopting information technology (IT) is essential to ensuring its best utilization. The governance system should be properly managed to support the organization’s business. Therefore, this research aims to design an ITG system suitable for best practices using the control objectives for information technologies (COBIT) 2019 framework. The recommendations from the core model were processed based on the priority or competence level that local government entities use. It also produced a core model with capability levels of 1 and 2 that do not exist. The recommendation designated for the priority level of 3 was 17. The core model to be assigned a capability level of 4 urgently needed to be implemented was 23 core models.
ITS 833 – INFORMATION GOVERNANCEChapter 2 – Information Go.docxvrickens
ITS 833 – INFORMATION
GOVERNANCE
Chapter 2 – Information Governance, IT Governance, Data Governance: What’s the Difference?
Copyright Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Distinguish between Data Governance, Information Governance and Information Technology Governance and be able to define or explain each
How to increase the likelihood of success of a data governance program
Identify IT Governance Frameworks
Identify the impact of a successful IG program
Copyright Omar Mohamed 2019
2
What is “Data Governance”?
Includes processes and controls to ensure that information at the data level – raw data- is true, accurate and unique.
Involves data cleansing and de-duplication
Focus is on information quality
Hybrid quality control discipline
Data quality
Data management
IG policy development
Business process improvement
Compliance
Risk Management
Copyright Omar Mohamed 2019
3
3
How can you improve data governance success ?
Identify a measurable impact
Assign accountability for data quality to a business unit
Recognize the uniqueness of data as an asset
Forget the past-use a forward going strategy
Management the Change
Copyright Omar Mohamed 2019
4
WHAT IS INFORMATION TECHNOLOGY GOVERNANCE?
Primary way that stakeholders can ensure that investments in IT create business value and contribute to business objectives
Function to improve IT performance and deliver optimum business value and ensure regulatory compliance
Focus is on making IT efficient and effective
Copyright Omar Mohamed 2019
5
5
IT Governance Framework(s)
CobiT® - Control Objective for Information and Related Technology
ValIT®
ITIL
ISO/IEC38500:2008
Copyright Omar Mohamed 2019
6
6
CobIT®
Three Basic Organizational Levels/Responsibilities
Board of Directors and Executive Management
IT and Business Management
Line-Level Governance
Divided into four (4) IT Domains
Plan and Organize
Acquire and Implement
Deliver and Support
Monitor and Evaluate
Includes 34 processes and 210 Control Objectives
ISO 17799
Compatible with IT Infrastructure Library (ITIL)
Process oriented IT governance framework
Codeveloped by IT Governance Institute and ISACA
Focus on:
Business Risks
Control Requirements
Compliance
Technical Issues
Under continuous refinement
Copyright Omar Mohamed 2019
7
ValIT®
Value Oriented Framework
Compatible and complimentary with CobiT®
Focus is on leveraging IT investments for maximum value
40 Essential Management Practices (same as CobiT® control objectives)
Supports three processes:
Value Governance
Portfolio Management
Investment Management
Copyright Omar Mohamed 2019
8
8
ITIL – Information Technology Infrastructure Library
Process Oriented
Developed in United Kingdom
Applicable to both public and private sector
Most widely accepted approach to IT service management in the world
Focus is on providing guidance to organizations on how to use IT as a tool to facilitate business change, transformation and growth
Foundation for ISO/IEC ...
INFORMATION SYSTEMS, ORGANIZATIONS, AND STRATEGY for management information s...Tonmoy zahid Rishad
Identify and describe important features of organizations that managers need to know about in order to build and use information systems successfully.
•Demonstrate how Porter’s competitive forces model helps companies develop competitive strategies using information systems.
•Explain how the value chain and value web models help businesses identify opportunities for strategic information system applications.
26 9133 data innovation resource edit satIAESIJEECS
The part of data innovation in information administration has dependably been a begging to be proven wrong subject in writing and practice. In spite of existing documentation with respect to the connection between IT assets what's more, information administration, restricted data is accessible on the diverse sorts of IT assets portraying this relationship. We coordinate two research streams rising in information administration what's more, broaden the writing on IT knowledge administration linkage by examining the directing part of asset sense of duty regarding conjure an unexpected asset point of view. Information from 168 associations in China give exact proof that three sorts of IT assets emphatically influence information administration capacity (IAC), which is decidedly related to upper hand. Moreover, this examination distinguishes two positive semi directing impacts of asset responsibility on the IT resource–IAC relationship. In particular, asset duty straightforwardly what's more, emphatically upgrades IAC, and reinforces the impacts of IT human and IT relationship assets on IAC. We talk about the hypothetical and viable ramifications of the outcomes.
An Empirical Study on the information systems in the Moroccan organizations: ...INFOGAIN PUBLICATION
An information system, it’s the key point of the success of companies [5] [6]. Where from the necessity of investing to develop information systems, these investments concern to infrastructures, application software’s, set up systems, and existing processes. Companies have to follow policies to manage well their investment of information systems in an economic and optimal way, it is the subject of this paper. To validate our subject, our hypothesis, a study of ground was necessary. We opted for an empirical study on the information systems of the high-level Moroccan organizations in various sectors, by basing itself on scientific foundations. The study and the data analysis allowed us to propose new simplified models.
In this presentation, we will discuss in depth about the importance of technology in business, what IT governance is and its impact.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
Core model of information technology governance system design in local govern...TELKOMNIKA JOURNAL
Information technology governance (ITG) in local government is aimed at a good governance service framework. Reports produced as a result of the framework’s implementation help to improve governance’s openness, potency, and efficiency. A strong governance structure for adopting information technology (IT) is essential to ensuring its best utilization. The governance system should be properly managed to support the organization’s business. Therefore, this research aims to design an ITG system suitable for best practices using the control objectives for information technologies (COBIT) 2019 framework. The recommendations from the core model were processed based on the priority or competence level that local government entities use. It also produced a core model with capability levels of 1 and 2 that do not exist. The recommendation designated for the priority level of 3 was 17. The core model to be assigned a capability level of 4 urgently needed to be implemented was 23 core models.
ITS 833 – INFORMATION GOVERNANCEChapter 2 – Information Go.docxvrickens
ITS 833 – INFORMATION
GOVERNANCE
Chapter 2 – Information Governance, IT Governance, Data Governance: What’s the Difference?
Copyright Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Distinguish between Data Governance, Information Governance and Information Technology Governance and be able to define or explain each
How to increase the likelihood of success of a data governance program
Identify IT Governance Frameworks
Identify the impact of a successful IG program
Copyright Omar Mohamed 2019
2
What is “Data Governance”?
Includes processes and controls to ensure that information at the data level – raw data- is true, accurate and unique.
Involves data cleansing and de-duplication
Focus is on information quality
Hybrid quality control discipline
Data quality
Data management
IG policy development
Business process improvement
Compliance
Risk Management
Copyright Omar Mohamed 2019
3
3
How can you improve data governance success ?
Identify a measurable impact
Assign accountability for data quality to a business unit
Recognize the uniqueness of data as an asset
Forget the past-use a forward going strategy
Management the Change
Copyright Omar Mohamed 2019
4
WHAT IS INFORMATION TECHNOLOGY GOVERNANCE?
Primary way that stakeholders can ensure that investments in IT create business value and contribute to business objectives
Function to improve IT performance and deliver optimum business value and ensure regulatory compliance
Focus is on making IT efficient and effective
Copyright Omar Mohamed 2019
5
5
IT Governance Framework(s)
CobiT® - Control Objective for Information and Related Technology
ValIT®
ITIL
ISO/IEC38500:2008
Copyright Omar Mohamed 2019
6
6
CobIT®
Three Basic Organizational Levels/Responsibilities
Board of Directors and Executive Management
IT and Business Management
Line-Level Governance
Divided into four (4) IT Domains
Plan and Organize
Acquire and Implement
Deliver and Support
Monitor and Evaluate
Includes 34 processes and 210 Control Objectives
ISO 17799
Compatible with IT Infrastructure Library (ITIL)
Process oriented IT governance framework
Codeveloped by IT Governance Institute and ISACA
Focus on:
Business Risks
Control Requirements
Compliance
Technical Issues
Under continuous refinement
Copyright Omar Mohamed 2019
7
ValIT®
Value Oriented Framework
Compatible and complimentary with CobiT®
Focus is on leveraging IT investments for maximum value
40 Essential Management Practices (same as CobiT® control objectives)
Supports three processes:
Value Governance
Portfolio Management
Investment Management
Copyright Omar Mohamed 2019
8
8
ITIL – Information Technology Infrastructure Library
Process Oriented
Developed in United Kingdom
Applicable to both public and private sector
Most widely accepted approach to IT service management in the world
Focus is on providing guidance to organizations on how to use IT as a tool to facilitate business change, transformation and growth
Foundation for ISO/IEC ...
Information and Communication Technology (ICT) is an integral part of business management now-a-day. It is inevitable for the smooth running of business irrespective of size and complexity. Due to the rapid development of ICT and its huge use in all spheres of our lives, businesses are also substantially influenced by it. Now, the resources of the businesses are primarily managed by using ICT supports that helps perform tasks faster and more accurate than before. But the developing countries are still struggling to introduce ICT supports in all areas of business management processes as the effort is substantially hindered by a strong but ineffective work culture. Therefore, to use ICT in business management we need to know the issues and challenges of it.
ITS 833 – INFORMATION GOVERNANCEChapter 1 – The Onslaught of.docxvrickens
ITS 833 – INFORMATION GOVERNANCE
Chapter 1 – The Onslaught of Big Data and Information Governance Imperative
Dr. Omar Mohamed
Copyright Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Define or identify what is meant by “Big Data”
What is the practical effects and problems associated with Big Data
Solution
to the Big Data problem
Defining Information Governance (“IG”)
Why we do not incorporate IG into everyday business
Advantage of IG
Effects of not incorporating IG
General approach to implementing IG
Copyright Omar Mohamed 2019
2
2
What is “Big Data”?
It is a business asset capable of being leveraged.
“High-volume, high-velocity and high-variety information that demands cost-effective innovative forms of information processing for enhanced insight and decision making”
A combination of both structured and unstructured data that is so massive that it cannot be processed using today’s database tools and analytical software techniques.
Copyright Omar Mohamed 2019
3
3
What is the practical effect of “Big Data”?
Whether or not a business enterprise will be able to sustain a competitive advantage will depend on the business’ ability to manipulate the large amount of data in a way that it to differentiate itself.
Estimates are that 90% of the data existing today was created over the pat two years.
Big Data and related technology and services are projected to grow at a compound annual rate of approximately 27% - leading to new opportunities for data mining and business intelligence.
Copyright Omar Mohamed 2019
4
4
Issues Related to Big Data
Expense –Only about 25% of data stored has real business value, 5% more is required to be maintained for legal reasons, 1% retained due to litigation hold, leaving about 69% with no real value.
A great deal of irrelevant information
Increased storage costs
System failures
Legal costs
Conversion costs
Copyright Omar Mohamed 2019
5
5
SOLUTION TO BIG DATA PROBLEMS?
Information Governance
Rigid
Enforced
Creates a smaller “information footprint”
Allows business to more easily find what they need and derive business value from it
Copyright Omar Mohamed 2019
6
6
So…What is “Information Governance”?
It is discipline that emerged out of necessity…
Subset of corporate governance
Merged from records management, content management, information technology, data governance, information security, data privacy, risk management, litigation readiness, regulatory compliance, data preservation and business intelligence
It is the way by which an organization manages the totality of its information
A strategic framework composed of standards, processes, roles, and metrics that hold organizations and individuals accountable to create, organize, secure, maintain, use and dispose of information in ways that align with and contribute to the organizations goals. (Association of Records Management and Administrators)Glossary of Records and Information Management Terms, 4th Ed., 2012, TR 22-201 ...
Accounting Information System (AIS) Alignment And Non-Financial Performance I...CSCJournals
The objective of this research is to investigate the relationship between Accounting Information System (AIS) alignments and non-financial performance in Small and Medium Enterprises (SMEs). The result of this research is expected to help the owners of SMEs to understand the importance of AIS alignment to achieve non-financial performance. AIS alignment is influenced by several factors such as: organizational characteristics, owner commitment, and organizational strategies that effect on SMEs performance. The relationship between AIS alignment on performance is explored using data collected from SMEs owners in the Special Administrative Region of Yogyakarta (DIY). The result of this research shows that AIS sophistication, owner commitment, and external IT expertise have significant effects on AIS alignment. AIS alignment also has significant effect on non-financial performance.
Challenges to the Implementation of It Governace in Zimbabwean Parastatalstheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Managing It Innovation: Recessionary and Post-Recessionary Service and Staffi...IJMIT JOURNAL
Information Technology (IT) service and staffing models were increasingly reduced in the wake of
recession, which often limits focus for long-term innovation, as the remaining services and staff are focused
on producing short-term requirements. Despite these cutbacks, organizations must continue to innovate and
provide contributions to the set of stakeholders. In addition as the post-recessionary timeframe begins,
organizations that continued to innovate throughout the recession, must retain human capital and take
advantage of their prior investments. Organizations that focus on innovation during recessionary
timeframes, are more likely to emerge in a superior competitive position during post-recessionary
timeframes. This paper explores identified industry best practices for IT service and staffing models that
can be utilized to ensure adequate resources are dedicated to achieving innovation, and management
implications for post-recessionary methods. In addition, a review of the capacities and capabilities which
fall under the new IT service and staffing models are developed in the form of an innovation matrix. This
approach reduces IT requirements to focus on key strategic service areas, with considerations for reduced
staffing needs during periods of economic downturn, and staffing retention during the following economic
upturn.
IT Governance and Compliance: Its Importance and the Best Practices to Follow...GrapesTech Solutions
With new technology coming in every day, the need for IT governance and compliance is essential. IT governance and compliance are not only necessary for consumers but also for businesses. A strong IT governance plan can help add immense value to your business.
Many businesses are not aware of the importance of IT governance and Its Compliance. Hence it is important first to understand IT Governance and the Compliance Standards.
Explore the Significance of IT Governance and Compliance in 2024. Explore best practices for effective management, ensuring security, and meeting regulatory standards in the dynamic IT landscape.
ITS 833 – INFORMATION GOVERNANCEChapter 10 - Information Go.docxvrickens
ITS 833 – INFORMATION GOVERNANCE
Chapter 10 - Information Governance and Information Technology Functions
Dr. Omar Mohamed
[email protected] Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Identify current trends that are considered weaknesses in IT processes
Describe IG best practices in the area of IT governance
Identify the foundational programs or areas that support the IG efforts in IT
What is meant by data governance? How does it differ from IT?
What would be the steps in implementing an effective data governance program?
Who created the data governance framework? Why?
What is information management? What are its subcomponents?
What is master data management (MDM)?
What is information lifecycle management?
What is data modeling?
What are the different approaches to data modeling?
What is the goal of IT governance?
Be able to identify or give examples of several IT governance frameworks and tell the distinguishing features of each
What is the ISACA organization and what is it responsible for?
Who was responsible for creating ValIT?
[email protected] Omar Mohamed 2019
2
2
Issues related to IT and IG
IT has not been held accountable for the output in its custody
[email protected] Omar Mohamed 2019
3
Ig best practices that assist it in delivering business value
Focus on the business impact instead of the technology itself
Customize IG approach for the specific business, applying industry specific best practices where applicable
Tie IG to business objectives
Standardize the use of business terms
3
Programs that support IG effort in IT
Data Governance – Processes and controls that ensure information at the data level is true, accurate, and unique.
Data Cleansing
De-duplication
Information quality
Master Data Management (MDM)
Accepted IT Standards and Best Practices
[email protected] Omar Mohamed 2019
4
4
Steps to effective data governance
[email protected] Omar Mohamed 2019
5
5
Recruit Strong Executive Sponsor – Not easy to do. Executive management does not want to deal with minutia
Assess Current State – Where does data reside? What problems are related to existing data
Compute Data Value-compute how much value good data can add to business unit
Set ideal state vision and strategy-Create realistic vision, articulate business benefits, articulate measurable impact
Assess Risks-Likelihood of potential data breaches? Cost of potential data breaches
Steps to effective data governance…continued
[email protected] Omar Mohamed 2019
6
6
Implement “going forward” strategy – provide a clean starting point
Manage the Change – Train and Educate as to why and benefits
Assign accountability for Data Quality to Business Unit, not to IT – Push ownership and responsibility to business unit that created the data
Monitor Data Governance Program – Look for oversight, shortfalls and fine-tune
DATA GOVERNANCE INSTITUTE (DGI) FRAMEWORK
[email protected] Omar Mohamed 2019
7
7
INFORMATION MANAGEME ...
ITS 833 – INFORMATION GOVERNANCEChapter 10 - Information Go.docxdonnajames55
ITS 833 – INFORMATION GOVERNANCE
Chapter 10 - Information Governance and Information Technology Functions
Dr. Omar Mohamed
[email protected] Omar Mohamed 2019
1
1
CHAPTER GOALS AND OBJECTIVES
Identify current trends that are considered weaknesses in IT processes
Describe IG best practices in the area of IT governance
Identify the foundational programs or areas that support the IG efforts in IT
What is meant by data governance? How does it differ from IT?
What would be the steps in implementing an effective data governance program?
Who created the data governance framework? Why?
What is information management? What are its subcomponents?
What is master data management (MDM)?
What is information lifecycle management?
What is data modeling?
What are the different approaches to data modeling?
What is the goal of IT governance?
Be able to identify or give examples of several IT governance frameworks and tell the distinguishing features of each
What is the ISACA organization and what is it responsible for?
Who was responsible for creating ValIT?
[email protected] Omar Mohamed 2019
2
2
Issues related to IT and IG
IT has not been held accountable for the output in its custody
[email protected] Omar Mohamed 2019
3
Ig best practices that assist it in delivering business value
Focus on the business impact instead of the technology itself
Customize IG approach for the specific business, applying industry specific best practices where applicable
Tie IG to business objectives
Standardize the use of business terms
3
Programs that support IG effort in IT
Data Governance – Processes and controls that ensure information at the data level is true, accurate, and unique.
Data Cleansing
De-duplication
Information quality
Master Data Management (MDM)
Accepted IT Standards and Best Practices
[email protected] Omar Mohamed 2019
4
4
Steps to effective data governance
[email protected] Omar Mohamed 2019
5
5
Recruit Strong Executive Sponsor – Not easy to do. Executive management does not want to deal with minutia
Assess Current State – Where does data reside? What problems are related to existing data
Compute Data Value-compute how much value good data can add to business unit
Set ideal state vision and strategy-Create realistic vision, articulate business benefits, articulate measurable impact
Assess Risks-Likelihood of potential data breaches? Cost of potential data breaches
Steps to effective data governance…continued
[email protected] Omar Mohamed 2019
6
6
Implement “going forward” strategy – provide a clean starting point
Manage the Change – Train and Educate as to why and benefits
Assign accountability for Data Quality to Business Unit, not to IT – Push ownership and responsibility to business unit that created the data
Monitor Data Governance Program – Look for oversight, shortfalls and fine-tune
DATA GOVERNANCE INSTITUTE (DGI) FRAMEWORK
[email protected] Omar Mohamed 2019
7
7
INFORMATION MANAGEME.
The measurement of maturity level of information technology service based on ...TELKOMNIKA JOURNAL
Institutions are currently progressing on IT development and maximization in order to advance for good IT governance. Lack of comprehensive requirements analysis of IT utilization may lead to hindrances within IT development from achieving effective outcomes. This quantitative study employs control objective for information & related technology (COBIT 5) business framework to assess and identify the maturity level of IT service, primarily within the domain of delivery, service, and support (DSS). Data were obtained through questionnaire, observation, and documentation. The result reveals that the average maturity level of IT service is in level 3 (established); by which the study recommends for enhancements and upgrades in IT performance and service within the scope of compliance and IT service application and support.
Similar to Securing Cloud Computing Through IT Governance (20)
Information Technology in Industry(ITII) - November Issue 2018ITIIIndustries
IT Industry publishes original research articles, review articles, and extended versions of conference papers. Articles resulting from research of both theoretical and/or practical natures performed by academics and/or industry practitioners are welcome. IT in Industry aims to become a leading IT journal with a high impact factor.
Design of an IT Capstone Subject - Cloud RoboticsITIIIndustries
This paper describes the curriculum of the three year IT undergraduate program at La Trobe University, and the faculty requirements in designing a capstone subject, followed by the ACM’s recommended IT curriculum covering the five pillars of the IT discipline. Cloud robotics, a broad multidisciplinary research area, requiring expertise in all five pillars with mechatronics, is an ideal candidate to offer capstone experiences to IT students. Therefore, in this paper, we propose a long term
master project in developing a cloud robotics testbed, with many capstone sub-projects spanning across the five IT pillars, to meet the objectives of capstone experience. This paper also describes the design and implementation of the testbed, and proposes potential capstone projects for students with different interests.
Dimensionality Reduction and Feature Selection Methods for Script Identificat...ITIIIndustries
The goal of this research is to explore effects of dimensionality reduction and feature selection on the problem of script identification from images of printed documents. The kadjacent segment is ideal for this use due to its ability to capture visual patterns. We have used principle component analysis to reduce the size of our feature matrix to a handier size that can be trained easily, and experimented by including varying combinations of dimensions of the super feature set. A modular
approach in neural network was used to classify 7 languages – Arabic, Chinese, English, Japanese, Tamil, Thai and Korean.
Image Matting via LLE/iLLE Manifold LearningITIIIndustries
Accurately extracting foreground objects is the problem of isolating the foreground in images and video, called image matting which has wide applications in digital photography. This problem is severely ill-posed in the sense that, at each pixel, one must estimate the foreground and background pixels and the so-called alpha value from only pixel information. The most recent work in natural image matting rely on local smoothness assumptions about foreground and background colours on which a cost function has been established. In this paper, we propose an extension to the class of affinity based matting techniques by incorporating local manifold structural
information to produce both a smoother matte based on the socalled improved Locally Linear Embedding. We illustrate our new algorithm using the standard benchmark images and very comparable results have been obtained.
Annotating Retina Fundus Images for Teaching and Learning Diabetic Retinopath...ITIIIndustries
With the improvement in IT industry, more and more application of computer software is introduced in teaching and learning. In this paper, we discuss the development process of such software. Diabetic Retinopathy is a common complication for diabetic patients. It may cause sight loss if not treated early. There are several stages of this disease. Fundus imagery is required to identify the stage and severity of the disease. Due to the lack of proper dataset of the fundus images and proper annotation, it is very difficult to perform research on this topic. Moreover, medical students are often facing difficulty with identifying the diseases in later stage of their practice as they may not have seen a sample of all of the stages of Diabetic Retinopathy problems. To mitigate the problem, we have collected fundus images from different geographic area of Bangladesh and designed an annotation software to store information about the patient, the infection level and their locations in the images. Sometimes, it is difficult to select all appropriate pixels of the infected region. To resolve the issue, we have introduced a K nearest neighbor (KNN) based technique to accurately select the region of interest (ROI). Once an expert (ophthalmologist) has annotated the images, the software can be used by the students for learning.
A Framework for Traffic Planning and Forecasting using Micro-Simulation Calib...ITIIIndustries
This paper presents the application of microsimulation for traffic planning and forecasting, and proposes a new framework to model complex traffic conditions by calibrating and adjusting traffic parameters of a microsimulation model. By using an open source micro-simulator package, TRANSIMS, in this study, animated and numerical results were produced and analysed. The framework of traffic model calibration was evaluated for its usefulness and practicality. Finally, we discuss future applications such as providing end users with real time traffic information through Intelligent Transport System (ITS) integration.
Investigating Tertiary Students’ Perceptions on Internet SecurityITIIIndustries
Internet security threats have grown from just simple viruses to various forms of computer hacking, scams, impersonation, cyber bullying, and spyware. The Internet has great influence on most people. It has profound influence and one can spend endless hours on internet activities. In particular, youth engage in more online activities than any other age group. Excessive internet usage is an emerging threat that has negative impacts on these youth; hence it is vital to investigate youths' online behavior. This work studies tertiary students’ risk awareness, and provides some findings that allow us to understand their knowledge on risks and their behavior towards online activities. It reveals several important online issues amongst tertiary students; Firstly, the lack of online security awareness; second, a lack of awareness and information about the dangers of rootkits, internet cookies and spyware; thirdly, female students are more unflinching than male students when commenting on social networking sites; fourthly, students are cautious only when obvious security warnings are present; and finally, their usage of internet hotspots is common without fully understanding its associated danger. These findings enable us to recommend types of internet security habits and safety practices that students should adopt in future when they are exposed to online activities. A more holistic approach was considered which aims to minimize any future risks and dangers with online activities involving students.
Blind Image Watermarking Based on Chaotic MapsITIIIndustries
Security of a watermark refers to its resistance to unauthorized detecting and decoding, while watermark robustness refers to the watermark’s resistance against common processing. Many watermarking schemes emphasize robustness more than security. However, a robust watermark is not enough to accomplish protection because the range of hostile attacks is not limited to common processing and distortions. In this paper, we give consideration to watermark security. To achieve this, we employ chaotic maps due to their extreme sensitivity to the initial values. If one fails to provide these values, the watermark will be wrongly extracted. While the chaotic maps provide perfect watermarking security, the proposed scheme is also intended to achieve robustness.
Programmatic detection of spatial behaviour in an agent-based modelITIIIndustries
The automated detection of aspects of spatial behaviour in an agent-based model is necessary for model testing and analysis. In this paper we compare four predictors of herding behaviour in a model of a grazing herbivore. We find that a) the mean number of neighbours adjusted to account for population variation and b) the mean Hamming distance between rows of the two-dimensional environment can be used to detect herding. Visual inspection of the model behaviour revealed that herding occurs when the herbivore mobility reaches a threshold level. Using this threshold we identify a limits for these predictors to use in the program code. These results apply only to one set of parameters and environment size; future research will involve a wider parameter space.
Design of an IT Capstone Subject - Cloud RoboticsITIIIndustries
This paper describes the curriculum of the three year IT undergraduate program at La Trobe University, and the faculty requirements in designing a capstone subject, followed by the ACM’s recommended IT curriculum covering the five pillars of the IT discipline. Cloud robotics, a broad multidisciplinary research area, requiring expertise in all five pillars with mechatronics, is an ideal candidate to offer capstone experiences to IT students. Therefore, in this paper, we propose a long term master project in developing a cloud robotics testbed, with many capstone sub-projects spanning across the five IT pillars, to meet the objectives of capstone experience. This paper also describes the design and implementation of the testbed, and proposes potential capstone projects for students with different interests.
A Smart Fuzzing Approach for Integer Overflow DetectionITIIIndustries
Fuzzing is one of the most commonly used methods to detect software vulnerabilities, a major cause of information security incidents. Although it has advantages of simple design and low error report, its efficiency is usually poor. In this paper we present a smart fuzzing approach for integer overflow detection and a tool, SwordFuzzer, which implements this approach. Unlike standard fuzzing techniques, which randomly change parts of the input file with no information about the underlying syntactic structure of the file, SwordFuzzer uses online dynamic taint analysis to identify which bytes in the input file are used in security sensitive operations and then focuses on mutating such bytes. Thus, the generated inputs are more likely to trigger potential vulnerabilities. We evaluated SwordFuzzer with an example program and a number of real-world applications. The experimental results show that SwordFuzzer can accurately locate the key bytes of the input file and dramatically improve the effectiveness of fuzzing in detecting real-world vulnerabilities
The banking experience for many people today is fundamentally an application of technology to be able to carry out their financial tasks. While the need to visit a bank branch remains essential for a number of activities, increasingly the need to support mobile usage is becoming the central focus of many bank strategies. The core banking systems that process financial transactions must remain highly available and able to support large volumes of activity. These systems represent a long term investment for banks and when the need arises to modernize these large systems, the transformation initiative is often very expensive and of high risk. We present in this paper our experiences in bank modernization and transformation, and outline the strategies for rolling out these large programs. As banking institutions embark upon transformation programs to upgrade their banking channels and core banking systems, it is hoped that the insights presented here are useful as a framework to support these initiatives.
Detecting Fraud Using Transaction Frequency DataITIIIndustries
Despite all attempts to prevent fraud, it continues to be a major threat to industry and government. In this paper, we present a fraud detection method which detects irregular frequency of transaction usage in an Enterprise Resource Planning (ERP) system. We discuss the design, development and empirical evaluation of outlier detection and distance measuring techniques to detect frequency-based anomalies within an individual user’s profile, relative to other similar users. Primarily, we propose three automated techniques: a univariate method, called Boxplot which is based on the sample’s median; and two multivariate methods which use Euclidean distance, for detecting transaction frequency anomalies within each transaction profile. The two multivariate approaches detect potentially fraudulent activities by identifying: (1) users where the Euclidean distance between their transaction-type set is above a certain threshold and (2) users/data points that lie far apart from other users/clusters or represent a small cluster size, using k-means clustering. The proposed methodology allows an auditor to investigate the transaction frequency anomalies and adjust the different parameters, such as the outlier threshold and the Euclidean distance threshold values to tune the number of alerts. The novelty of the proposed technique lies in its ability to automatically trigger alerts from transaction profiles, based on transaction usage performed over a period of time. Experiments were conducted using a real dataset obtained from the production client of a large organization using SAP R/3 (presently the most predominant ERP system), to run its business. The results of this empirical research demonstrate the effectiveness of the proposed approach.
Mapping the Cybernetic Principles of Viable System Model to Enterprise Servic...ITIIIndustries
This paper describes the results of a theoretical mapping of the cybernetic principles of the Viable System Model (VSM) to an Enterprise Service Bus (ESB) model, with the aim to identify the management principles for the integration of services at all levels in the enterprise. This enrichment directly contributes to the viability of service-oriented systems and the justification of Business/IT alignment within enterprise. The model was identified to be suitable for further adaption in the industrial setting planned within Australian governmental departments.
Using Watershed Transform for Vision-based Two-Hand Occlusion in an Interacti...ITIIIndustries
To achieve a natural interaction in augmented reality environment, we have suggested to use markerless visionbased two-handed gestures for the interaction; with an outstretched hand and a pointing hand used as virtual object registration plane and pointing device respectively. However, twohanded interaction always causes mutual occlusion which jeopardizes the hand gesture recognition. In this paper, we present a solution for two-hand occlusion by using watershed transform. The main idea is to start from a two-hand occlusion image in binary format, then form a grey-scale image based on the distance of each non-object pixel to object pixel. The watershed algorithm is applied to the negation of the grey scaled image to form watershed lines which separate the two hands. Fingertips are then identified and each hand is recognized based on the number of fingertips on each hand. The outstretched hand is assumed to contain 5 fingertips and the pointing device contains less than 5 fingertips. An example of applying our result in hand and virtual object interaction is displayed at the end of the paper.
Speech Feature Extraction and Data VisualisationITIIIndustries
—This paper presents a signal processing approach to analyse and identify accent discriminative features of four groups of English as a second language (ESL) speakers, including Chinese, Indian, Japanese, and Korean. The features used for speech recognition include pitch, stress, formant frequencies, the Mel frequency coefficient, log frequency coefficient, and the intensity and duration of vowels spoken. This paper presents our study using the Matlab Speech Analysis Toolbox, and highlights how data processing can be automated and results visualised. The proposed algorithm achieved an average success rate of 57.3% in identifying vowels spoken in a speech by the four nonnative English speaker groups.
Bayesian-Network-Based Algorithm Selection with High Level Representation Fee...ITIIIndustries
A real-world intelligent system consists of three basic modules: environment recognition, prediction (or estimation), and behavior planning. To obtain high quality results in these modules, high speed processing and real time adaptability on a case by case basis are required. In the environment recognition module many different algorithms and algorithm networks exist with varying performance. Thus, a mechanism that selects the best possible algorithm is required. To solve this problem we are using an algorithm selection approach to the problem of natural image understanding. This selection mechanism is based on machine learning; a bottom-up algorithm selection from real-world image features and a top-down algorithm selection using information obtained from a high level symbolic world description and algorithm suitability. The algorithm selection method iterates for each input image until the high-level description cannot be improved anymore. In this paper we present a method of iterative composition of the high level description. This step by step approach allows us to select the best result for each region of the image by evaluating all the intermediary representations and finally keep only the best one.
Instance Selection and Optimization of Neural NetworksITIIIndustries
Credit scoring is an important tool in financial institutions, which can be used in credit granting decision. Credit applications are marked by credit scoring models and those with high marks will be treated as “good”, while those with low marks will be regarded as “bad”. As data mining technique develops, automatic credit scoring systems are warmly welcomed for their high efficiency and objective judgments. Many machine learning algorithms have been applied in training credit scoring models, and ANN is one of them with good performance. This paper presents a higher accuracy credit scoring model based on MLP neural networks trained with back propagation algorithm. Our work focuses on enhancing credit scoring models in three aspects: optimize data distribution in datasets using a new method called Average Random Choosing; compare effects of training-validation-test instances numbers; and find the most suitable number of hidden units. Another contribution of this paper is summarizing the tendency of scoring accuracy of models when the number of hidden units increases. The experiment results show that our methods can achieve high credit scoring accuracy with imbalanced datasets. Thus, credit granting decision can be made by data mining methods using MLP neural networks.
Signature Forgery and the Forger – An Assessment of Influence on Handwritten ...ITIIIndustries
Signatures are widely used as a form of personal authentication. Despite ubiquity in deployment, individual signatures are relatively easy to forge, especially when only the static ‘pictorial’ outcome of the signature is considered at verification time. In this study, we explore opinions on signature usage for verification purposes, and how individuals rate a particular third-party signature in terms of ease of forgeability and their own ability to forge. We examine responses with respect to an individual’s experience of the forgeability/complexity of their own signature. Our study shows that past experience does not generally have an effect on perceived signature complexity nor the perceived effectiveness of an individual to themselves forge a signature. In assessing forgeability, most subjects cite the overall signature complexity and distinguishing features in reaching this decision. Furthermore, our research indicates that individuals typically vary their signature according to the scenario but generally little effort into the production of the signature.
Stability of Individuals in a Fingerprint System across Force LevelsITIIIndustries
This research studied the question: “Are all
individual’s performance stable in a fingerprint recognition
system?” The fingerprints of 154 individuals, provided at
different force levels, were examined using the biometric
menagerie tool, first coined by Doddington et al. in 1998. The
Biometric Menagerie illustrates how each person in a given
dataset performs in a biometric system, by using their genuine
and impostor scores, and providing them a classification based
upon those scores. This research examined the biometric
menagerie classifications across different force levels in a
fingerprint recognition study to uncover if individuals performed
the same over five force levels. The study concluded that they did
not, and a new metric has been created to quantify this
phenomenon. As a result of this discovery, the new metric,
Stability Score Index is described to showcase the movement of
individuals in the menagerie.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.