Risk Analytics From Concept To Deployment
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Risk Analytics From Concept To Deployment
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Author : Edward Hon Khay Ng
language : en
Publisher: World Scientific
Release Date : 2021-10-04
Risk Analytics From Concept To Deployment written by Edward Hon Khay Ng and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-04 with Business & Economics categories.
This book is written to empower risk professionals to turn analytics and models into deployable solutions with minimal IT intervention. Corporations, especially financial institutions, must show evidence of having quantified credit, market and operational risks. They have databases but automating the process to translate data into risk parameters remains a desire.Modelling is done using software with output codes not readily processed by databases. With increasing acceptance of open-source languages, database vendors have seen the value of integrating modelling capabilities into their products. Nevertheless, deploying solutions to automate processes remains a challenge. While not comprehensive in dealing with all facets of risks, the author aims to develop risk professionals who will be able to do just that.
Risk Analytics
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Author : Edward H. K. Ng
language : en
Publisher:
Release Date : 2021
Risk Analytics written by Edward H. K. Ng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic books categories.
"Risk analytics has seen a spike in interest and demand with the quantification of risks and global regulatory requirements. Financial institutions like banks, in particular, have to show evidence of having measured credit, market and operational risks using numbers and models rather than qualitative judgments. These corporations already have massive databases but automating the process to translate data into risk parameters remains a desire in most of them. In the past, this was partly due to the lack of cost-effective tools to accomplish the task. Modeling was done using software with output codes not readily processed by databases. Data have to be manually extracted and run on the models with results input into the databases manually again. With the increasing acceptance of open source languages, database vendors have seen the value of integrating modeling capabilities into their products. That has made it possible to insert models developed using R, Python or other languages directly into SQL scripts used for database transactions. As R or Python are free, there is no additional cost involved. Nevertheless, deploying solutions developed to automate the process remains a challenge. While not comprehensive in dealing with all facets of risks, the author with his wealth of consulting experience, aims to contribute to the development of risk professionals who will be able to progress beyond theories and concepts to create solutions that can support planning and automated decision-making".
Risk Analytics
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Author : Eduardo Rodriguez
language : en
Publisher: CRC Press
Release Date : 2023-08-08
Risk Analytics written by Eduardo Rodriguez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Business & Economics categories.
The 2022 World Economic Forum surveyed 1,000 experts and leaders who indicated their risk perception that the earth’s conditions for humans are a main concern in the next 10 years. This means environmental risks are a priority to study in a formal way. At the same time, innovation risks are present in theminds of leaders, newknowledge brings new risk, and the adaptation and adoption of risk knowledge is required to better understand the causes and effects can have on technological risks. These opportunities require not only adopting new ways of managing and controlling emerging processes for society and business, but also adapting organizations to changes and managing new risks. Risk Analytics: Data-Driven Decisions Under Uncertainty introduces a way to analyze and design a risk analytics system (RAS) that integrates multiple approaches to risk analytics to deal with diverse types of data and problems. A risk analytics system is a hybrid system where human and artificial intelligence interact with a data gathering and selection process that uses multiple sources to the delivery of guidelines to make decisions that include humans and machines. The RAS system is an integration of components, such as data architecture with diverse data, and a risk analytics process and modeling process to obtain knowledge and then determine actions through the new knowledge that was obtained. The use of data analytics is not only connected to risk modeling and its implementation, but also to the development of the actionable knowledge that can be represented by text in documents to define and share explicit knowledge and guidelines in the organization for strategy implementation. This book moves from a review of data to the concepts of a RAS. It reviews RAS system components required to support the creation of competitive advantage in organizations through risk analytics. Written for executives, analytics professionals, risk management professionals, strategy professionals, and postgraduate students, this book shows a way to implement the analytics process to develop a risk management practice that creates an adaptive competitive advantage under uncertainty.
Data Mining And Predictive Analysis
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Author : Colleen McCue
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-12-30
Data Mining And Predictive Analysis written by Colleen McCue and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-30 with Law categories.
Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive, security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings. This revised text highlights new and emerging technology, discusses the importance of analytic context for ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics in intelligence and security analysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment. - Discusses new and emerging technologies and techniques, including up-to-date information on predictive policing, a key capability in law enforcement and security - Demonstrates the importance of analytic context beyond software - Covers new models for effective delivery of advanced analytics to the operational environment, which have increased access to even the most powerful capabilities - Includes terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis
Ecrm 2023 22nd European Conference On Research Methods In Business And Management
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Author : Academic Conferences and Publishing Limited
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2023-09-06
Ecrm 2023 22nd European Conference On Research Methods In Business And Management written by Academic Conferences and Publishing Limited and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-06 with Reference categories.
The Data And Analytics Playbook
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Author : Lowell Fryman
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-08-12
The Data And Analytics Playbook written by Lowell Fryman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Computers categories.
The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it. In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization. - Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation - Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention - Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success
Value Realization From Efficient Software Deployment
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Author : Alex Louwe Kooijmans
language : en
Publisher: IBM Redbooks
Release Date : 2011-10-25
Value Realization From Efficient Software Deployment written by Alex Louwe Kooijmans and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-25 with Computers categories.
Many companies have a complex process for purchasing software that is required by IT projects, or better, by the business. Usually software is purchased by a centralized procurement function, and is either purchased on a project-by-project basis or as a large periodic software contract. Unfortunately purchasing software products does not automatically mean that these products are exploited throughout the organization providing the maximum possible value to the business units. Several issues call for a structured approach that gets the most business value out of software already purchased. The objectives of this approach are to: Create maximum awareness throughout the organization of the software purchased. Track software use in IT projects and act if products are not used at all, used improperly, or insufficiently used. Facilitate use of software products in projects, especially when software products are complex and require a lot of integration. We can summarize the overall objective of this approach as ensuring that the business units in an organization obtain the maximum possible value of software products purchased, which is also the scope of this IBM® Redbooks® publication.
Risk Based Policing
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Author : Leslie W. Kennedy
language : en
Publisher: University of California Press
Release Date : 2018-10-30
Risk Based Policing written by Leslie W. Kennedy and has been published by University of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Social Science categories.
Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.
Journeys To Data Mining
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Author : Mohamed Medhat Gaber
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-20
Journeys To Data Mining written by Mohamed Medhat Gaber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-20 with Computers categories.
Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced core results for applications like business intelligence, spatio-temporal data analysis, bioinformatics, and stream data processing. The fifteen contributors to this volume are successful and well-known data mining scientists and professionals. Although by no means an exhaustive list, all of them have helped the field to gain the reputation and importance it enjoys today, through the many valuable contributions they have made. Mohamed Medhat Gaber has asked them (and many others) to write down their journeys through the data mining field, trying to answer the following questions: 1. What are your motives for conducting research in the data mining field? 2. Describe the milestones of your research in this field. 3. What are your notable success stories? 4. How did you learn from your failures? 5. Have you encountered unexpected results? 6. What are the current research issues and challenges in your area? 7. Describe your research tools and techniques. 8. How would you advise a young researcher to make an impact? 9. What do you predict for the next two years in your area? 10. What are your expectations in the long term? In order to maintain the informal character of their contributions, they were given complete freedom as to how to organize their answers. This narrative presentation style provides PhD students and novices who are eager to find their way to successful research in data mining with valuable insights into career planning. In addition, everyone else interested in the history of computer science may be surprised about the stunning successes and possible failures computer science careers (still) have to offer.
Zeppelin For Interactive Data Analytics
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-08
Zeppelin For Interactive Data Analytics written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-08 with Computers categories.
"Zeppelin for Interactive Data Analytics" "Zeppelin for Interactive Data Analytics" is the definitive guide for professionals and organizations seeking to harness the full potential of interactive analytics within modern data-driven environments. This comprehensive volume charts the evolution of data science notebooks, with in-depth explorations of architectures ranging from batch to real-time systems and a thorough analysis of Zeppelin's unique place in this landscape. Readers will gain a clear understanding of the critical use cases where immediacy and collaboration in analytics make a profound impact, while addressing the essential foundations of scalability, security, and governance that are crucial for today's enterprise deployments. At the heart of the book lies a detailed technical journey through Zeppelin's architecture, multi-language interpreter system, and the mechanics of storage, collaboration, and extension. Advanced topics illuminate best practices for interpreter customization, distributed and multi-tenant execution, resource isolation, and seamless integration with both structured and unstructured data sources. Attention is given to robust data governance, lineage, compliance, and metadata management, providing readers with actionable guidance for managing data flow in regulated environments. The book's practical focus extends to automating workflows, orchestrating notebook executions via APIs and schedulers, and embedding Zeppelin solutions into CI/CD pipelines for robust operationalization. The narrative is rounded out with sections on interactive visual analytics, machine learning integration, and innovations shaping the future of collaborative analytics. Users will benefit from hands-on strategies for building dynamic dashboards, developing polyglot analytics workflows, and leveraging state-of-the-art ML frameworks within Zeppelin. The final chapters address enterprise-grade concerns—role-based access, monitoring, disaster recovery, and future-proofing deployments— before exploring cutting-edge topics such as serverless execution, federated analytics, and emerging paradigms in user experience. Whether you are a data engineer, analytics architect, or technical decision-maker, this book equips you with the knowledge and best practices to deploy, operate, and innovate with Zeppelin at any scale.