scholarly journals Risk management in the implementation of an IT-project to create a corporate data warehouse in a bank

2018 ◽  
Vol 15 (5) ◽  
pp. 56-67
Author(s):  
T. K. Kravchenko ◽  
A. A. Druzhaev ◽  
D. Yu. Neklyudov ◽  
O. M. Uvarova
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Data Warehouse ◽  
Subject Area ◽  
Integrated Risk Assessment ◽  
Number Of Factors ◽  
It Project ◽  
Method Of Solution ◽  
Using Data ◽  
The Impact

The need to assess risks when implementing a project to create a corporate data warehouse in a bank is due to a number of factors. When assessing the risk, there is uncertainty about the likelihood of its occurrence, and in what effect it will have on the project. When assessing risks, there is uncertainty about the likelihood of their occurrence and the impact they will have on the project. Risk assessment before the start of the project will help to plan the project budget in the light of unforeseen expenses. In the article is presented the risks classification on the IT project in accordance with the subject area, which is a source of risk. The authors suggest a new approach to risk management in the implementation of the IT project to create a corporate data warehouse in a bank that not only reduces the impact of many risks, but also identifies new risks associated with its implementation. To identify and categorize potential risks and understand their relationships, a risk linkage map has been constructed. Using the method of solution analysis, an integrated risk assessment was designed. In order to effectively monitor risks, it was suggested to analyze the dynamics of the main indicators of risk assessment using data visualization in MS Excel that allows you to adjust the action in the event of unforeseen circumstances.

scholarly journals Current and planned research for managing the fruit fly threat to New Zealand

2019 ◽  
Vol 72 ◽  
pp. 279
Author(s):  
David A.J. Teulon ◽  
John M. Kean ◽  
Karen F. Armstrong
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
New Zealand ◽  
Fruit Fly ◽  
Fruit Flies ◽  
Bactrocera Tryoni ◽  
The World ◽  
Increasing Risk ◽  
Management Diagnostics ◽  
The Impact

Fruit flies (Family Tephritidae), in particular the Queensland fruit fly (Bactrocera tryoni; QFF), areone of the biggest biosecurity risks for New Zealand horticulture. New Zealand has one of the bestscience-based biosecurity systems in the world, based on years of experience and sound research. Theintroduction of fruit flies to New Zealand is now well managed in commercial fruit imports, but the riskis rising from growing trade and travel and, in the case of QFF, climatic adaptation and spread to moresouthern localities. Smarter solutions are continually needed to manage this increasing risk, and to dealwith such pests when they arrive. We present a brief summary of current and anticipated research aimedat reducing the likelihood of entry into New Zealand and/or minimising the impact for the fruit flyspecies of greatest threat to New Zealand. Research spans risk assessment, pathway risk management,diagnostics, surveillance and eradication.

ENVIRONMENTAL RISK MANAGEMENT: A PROPOSED SCHEME

1997 ◽  
Vol 37 (1) ◽  
pp. 714
Author(s):  
H.B. Goff ◽  
R.K. Steedman
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Environmental Risk ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Transport Processes ◽  
Assessment Process ◽  
Gas Industry ◽  
Environmental Risk Management ◽  
The Impact

Environmental risk assessment is becoming an increasingly important factor in the assessment process for new projects. The oil and gas industry is familiar with assessing and managing risks from a wide range of sources. In particular, risk assessment and management is fundamental to the evaluation and implementation of Safety cases. Risk assessment is essential in valuing exploration acreage. Various industry and government risk management standards and criteria have been developed for public and occupational health and safety.This paper examines the extension of these approaches to environmental risk management for the offshore oil and gas industry and proposes a conceptual management scheme.We regard risk as the probability of an event occurring and the consequences of that event. The risk is classified into four categories, namely:primary risk, which relates to the mechanical oilfield equipment;secondary risk, which relates to the natural transport processes. For example dispersion of oil in the water column and surrounding sea;the tertiary risk, which relates to the impact on some defined part of the physical, biological or social environment; andthe quaternary risk, which relates to the recovery of the environment from any impact.Generally the methods of quantitatively analysing primary and secondary risks are well known, while there remains considerable uncertainty surrounding the tertiary and quaternary risk and they are at best qualitative only. An example of the method is applied to coral reef and other sensitive areas which may be at risk from oil spills.This risk management scheme should assist both operators and regulators in considering complex environmental problems which have an inherent uncertainty. It also proves a systematic approach on which sound environmental decisions can be taken and further research and analysis based. Perceived risk is recognised, but the management of this particular issue is not dealt with.

Limits to natural disasters management: the influence of human behavior

2020 ◽  
Author(s):  
Jeroen Aerts
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Risk Management ◽  
Natural Disasters ◽  
Human Behavior ◽  
Flood Risk ◽  
Behavioral Adaptation ◽  
Risk Models ◽  
Physically Based ◽  
The Impact

<p>Despite billions of dollars of investments in disaster risk reduction (DRR), data over the period 1994- 2013 show natural disasters caused 1.35 million lives. Science respond with more timely and accurate information on the dynamics of risk and vulnerability of natural hazards, such as floods. This information is essential for designing and implementing effective climate change adaptation and DRR policies. However, how much do we really know about how the main agents in DRR (individuals, businesses, government, NGO) use this data? How do agents behave before, during, and after a disaster, since this can dramatically affect the impact and recovery time. Since existing risk assessment methods rarely include this critical ‘behavioral adaptation’ factor, significant progress has been made in the scientific community to address human adaptation activities (development of flood protection, reservoir operations, land management practices) in physically based risk models.</p><p>This presentation gives an historic overview of the most important developments in DRR science for flood risk. Traditional risk methods integrate vulnerability and adaptation using a ‘top- down’ scenario approach, where climate change, socio economic trends and adaptation are treated as external forcing to a physically based risk model (e.g. hydrological or storm surge model). Vulnerability research has made significant steps in identifying the relevant vulnerability indicators, but has not yet provided the necessary tools to dynamically integrate vulnerability in flood risk models.</p><p>However, recent research show novel methods to integrate human adaptive behavior with flood risk models. By integrating behavioral adaptation dynamics in Agent Based Risk Models, may lead to a more realistic characterization of the risks and improved assessment of the effectiveness of risk management strategies and investments. With these improved methods, it is also shown that in the coming decades, human behavior is an important driver to flood risk projections as compared to other drivers, such as climate change. This presentation shows how these recent innovations for flood risk assessment provides novel insight for flood risk management policies.</p>

scholarly journals A DYNAMIC RISK ASSESSMENT MODELING BASED ON FUZZY ANP FOR SAFETY MANAGEMENT SYSTEMS

Aviation ◽  
2018 ◽  
Vol 22 (4) ◽  
pp. 143-155
Author(s):  
Masoud Rezaei ◽  
Naimeh Borjalilu
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Evaluation Method ◽  
Safety Management ◽  
Traditional Approach ◽  
Risk Index ◽  
Two Dimensional ◽  
Fuzzy Anp ◽  
New Model ◽  
The Impact

Risk assessment in large organizations with extensive operational domains has been a challenging issue. Employing an efficient method along with realistic pair comparisons, applying subjective inferences of organization experts, and purging the intrinsic ambiguity of inferences, are not reflected in current airlines' safety management. Traditional two-dimensional risk assessment for risk management of safety hazards, however, is no longer sufficient to comply with this complexity. A new model for risk management and a novel formula for risk index calculation, based on a fuzzy approach, are presented in this study. In this new model, unlike in the traditional approach, the latent aftermath of safety reports, especially those which affect the continuity of the business, is also taken into account. In this model, along with the definition of a new structure for risk management, risk analysis should be restructured. To that end, a two-dimensional classic risk formula was replaced with three-dimensional (nonlinear) exponential ones, considering “the impact on the business” as a source of risk and hazard. For measuring the safety risk using the Fuzzy hierarchical evaluation method, considering experts' opinions, three criteria in four different operational fields were developed. This method employs a Fuzzy ANP to help quantify judgments, make qualitative judgments in the traditional method, and weigh the priority of elements contributing to risk. Also, it provides a tool for top-level as well as expert level management to monitor safety more precisely, monitor the safety level within their departments or organizations, set quantitative safety goals and provide feedback for improvement as well as find the most critical areas with the least cost. In this study, an airline has been selected as a case study for the risk assessment of reports based on the new model.

scholarly journals Risk Management of Credit Card Payment Gateway using Octave Allegro Methodology At Electronic Payment Provider Institution

2019 ◽  
Vol 8 (4) ◽  
pp. 11831-11838
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Credit Card ◽  
Group Discussion ◽  
Control Measures ◽  
Internet Technology ◽  
Card Payment ◽  
Financial Transactions ◽  
The Impact ◽  
Payment Gateway

The use of internet technology is growing very fast which is driving the development of businesses in Indonesia, one of which is in the eCommerce sector. To support payment transactions conducted by e-commerce, in conducting this business, it is necessary to collaborate with business partner engaged in the payment gateways sector. Company partner engaged in the payment gateways sector to provide solutions to electronic financial transactions where one product is a credit card payment gateways. The purpose of this research is to make a risk assessment and risk management for audit certification credit card payment gateway Company. Risk assessment can help to know what are the risks that may occur, how big the impact of these risks, as well as recommendations related control measures must be carried out if the impact of these risks occur. This research using OCTAVE Allegro methodology to identify and evaluate information security risks credit card payment gateway. This research is qualitative research consisting of observation, conducting group discussion with the respondents. The respondend of this research are VP Development and Service Provisioning, VP Operation and Infrastructure, Manager Front End 1, Manager Back End 2, and Senior Programmer. Results of this research are 9 critical information assets in credit card payment gateway in COMPANY, such as : Card Holder Data & Customer Credential, Data Center, Physical Devices, Logical Storage, Logical Network, Supporting Software, Core Application, Encryption Key, and Human Resources. There are 21 risks that may occur during in credit card payment gateway. From 21 risks that were identified, obtained 15 risks are defer, 3 risks to be acceptable, and 3 risks should be mitigate.

scholarly journals Toolset for financial risk strategic assessment in corporations based on stochastic modeling

2020 ◽  
Vol 9 (28) ◽  
pp. 451-464
Author(s):  
Viktoriya Manuylenko ◽  
Denis Ryzin ◽  
Natalia Gryzunova ◽  
Olga Bigday ◽  
Olga Mandrytsa
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Financial Risk ◽  
Assessment Model ◽  
Financial Risks ◽  
Financial Leverage ◽  
Financial Risk Management ◽  
Environment Factors ◽  
Target Values ◽  
The Impact

The study substantiates the need to develop and test a model for assessment of strategic financial risk level in corporations. It implies modeling for two indicators: relative (financial leverage) and absolute (external capital of indicators). The model should also take into account influence of emergent environment factors and most stakeholder groups’ interests when building scenarios for their behaviors in the financial markets –Implementation of the model allows establishing financial risk target values considering deviation calculations between the indicators’ modeled and actual values simultaneously determining both tactical and strategic guidelines for Financial Risk Management Policy in corporations, which should involve stakeholders into financial risk-taking process. The model implementation also should be the basis for development and improvement of risk-based forecasting tools, business planning and stress testing. The toolkit for assessing level of current and strategic financial risks in corporations based on simulation modeling was developed and implemented with attraction of general scientific and special methods. Direct results of the study are as follows: in theoretical block of the research – essentially, main attributes of financial risks classification for corporations are identified; they are recognized by time as retrospective, current and strategic financial risks, and correct classification of the latter allows their identification, evaluation and regulation; in practical block of the research – evaluation of financial risk in corporations reveals that the risk apart from other internal factors is highly affected by the level of financial leverage, where its high value increases financial risk; still, corporations do not take into account the influence of environmental factors on its level; the role of tax risk as a part of financial risk is not significant, still it is unfortunate that the Russian legislation system allows double taxation on income tax in the form of dividends, and dividend policy of Russian corporations is unstable; in methodological block of the research –financial risk assessment model for corporations was developed and tested on a platform of a special new software product that determines the target level of financial risk; the model differs from standard approaches to financial risk assessment as it carries strategic forecasting nature and takes into account the impact of emergent environment factors; thus it promotes new areas in strategic financial risk management.

The Impact of Using Data Warehouse on Manpower Employment Decision Support System

2011 ◽  
Vol 383-390 ◽  
pp. 4653-4659
Author(s):  
Amro F. Alasta ◽  
Muftah A. Enaba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Employment Decision ◽  
Use Of Data ◽  
Using Data ◽  
The Impact

Since the use of computers in business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in database. Database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size increases, the need for more control and information retrieval increase. These increases lead to the development of data mining systems and data warehouses. This paper focuses on the use of data warehouse as a supporting tool in decision making. We to study the effectiveness of data warehouse techniques in the sense of time and flexibility in our case study (Manpower Employment). The study will conclude with a comparison of traditional relational database and the use of data warehouse. The fundamental role of data warehouse is to provide data for supporting decision-making process. Data in data warehouse environment is multidimensional data store. We can simply say that data warehouse is a process not a product, for assembling and managing data from various sources for the purpose of gaining a single detailed view of part or all an establishment. The data warehouse concept has changed the nature of decision support system, by adding new benefits for improving and expanding the scope, accuracy, and accessibility of data. The warehouse is the link between the application and raw data, which is scattered in separate database but now is unified. The objectives of this work are to study the impact of using data warehouse on Manpower Employment Decision Support System, in the sense as far as the data quality concern. We will focus on the benefits gained from using data warehouse, and why it is more powerful than the use of traditional databases in decision making. The case study will be the Libyan national manpower employment agency. The data warehouse will collect database scattered from different sources in Libya in order to compare the performance and time.

Professional Discretion and the Predictive Validity of a Juvenile Risk Assessment Instrument

2016 ◽  
Vol 15 (2) ◽  
pp. 103-118 ◽  
Author(s):  
James T. McCafferty
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Assessment Tool ◽  
Assessment Instrument ◽  
Adjusted Risk ◽  
Risk Levels ◽  
Risk Assessment Instrument ◽  
Actuarial Risk ◽  
Using Data ◽  
The Impact

The ability for professionals to override the results of an actuarial risk assessment tool is an essential part of effective correctional risk classification; however, little is known about how this important function affects the predictive validity of these tools. Using data from a statewide sample of juveniles from Ohio, this study examined the impact of professional adjustments on the predictive validity of a juvenile risk assessment instrument. This study found that the original and adjusted risk levels were significant predictors of recidivism, but the original risk levels were stronger predictors of recidivism than the adjusted risk levels that accounted for overrides.

Failures in risk assessment and risk management for cosmetic preservatives in Europe and the impact on public health

2015 ◽  
Vol 73 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jakob F. Schwensen ◽  
Ian R. White ◽  
Jacob P. Thyssen ◽  
Torkil Menné ◽  
Jeanne D. Johansen
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Risk Management ◽  
The Impact

Social Entrepreneurship and Income Distribution

2016 ◽  
pp. 44-59
Author(s):  
María-Soledad Castaño-Martínez ◽  
María-Teresa Méndez-Picazo ◽  
Miguel-Ángel Galindo-Martín
Keyword(s):  
Human Capital ◽  
Income Distribution ◽  
Economic Performance ◽  
Social Entrepreneurship ◽  
Partial Least Square ◽  
Least Square ◽  
Number Of Factors ◽  
Current Economic Crisis ◽  
Using Data ◽  
The Impact

Social entrepreneurship is one of the most important forms of entrepreneurship, especially in the context of the current economic crisis. The aim of this chapter is to analyze the influence of a number of factors, such as income distribution, institutions, and human capital on social entrepreneurship. In addition, it analyses the impact of these factors and social entrepreneurship on economic performance. This chapter includes an empirical analysis, with Partial Least Square (PLS) estimation for 29 countries using data from 2012.

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