This document discusses managing risks associated with spreadsheet use. It outlines four key stages: 1) Identify areas of highest risk by considering what keeps senior management awake at night and what decisions could impact shareholder value; 2) Prepare an inventory of spreadsheets, including attributes to identify important ones; 3) Assess the importance of each spreadsheet based on its criticality and complexity; 4) Implement control solutions for high-risk spreadsheets. The risks go beyond just financial reporting to the business as a whole. Automated tools can help with the inventory and risk assessment.
Excel In Managing Spreadsheet Risk Presentationgreghawes
The document discusses managing risks associated with spreadsheets. It proposes a 4-stage approach: 1) Identify critical spreadsheets, 2) Understand risk profiles, 3) Assess existing controls, and 4) Implement control solutions like independent reviews and a spreadsheet control framework. Spreadsheet risks are real, with errors costing companies millions. Proper risk management is needed given regulations and spreadsheets' integration in business processes.
The Use of Spreadsheets in Commodity Trading – 2015CTRM Center
Spreadsheets have long been an integral part of a trading company’s armory of tools and software. Over the years, the demise of the spreadsheet in commodity trading organizations has continued to be predicted with increasing frequency and regularity, and yet, the spreadsheet is alive, well, and kicking in 2015; as this survey proves. Despite the growing maturity of commercially available Commodity Trading and Risk Management software (CTRM) solutions, the increase in regulation and oversight and, the alarming number of horror stories involving spreadsheets in losses, mistakes and fraud, they seem difficult to eliminate. This survey, prompted by current round of regulation and controls, revisits the spreadsheet in commodity trading to discover how widespread and pervasive they are and why.
Ontonix Complexity Measurement and Predictive Analytics WP Oct 2013Datonix.it
Breakthrough analytics for your business. Ontonix model-free and patented technology is used for advanced BI, Risk and Business Governance Management. Discover the big picture from all structured business process and discover the hidden fragility an what your options are to fix it.
Do not measure the wrong KPI - we automatically discover the native and intrinsic key performance indicators for you.
5 reasons why spreadsheet based risk management systems don’t workRisk Edge Solutions
Spreadsheet-based risk management systems are prone to errors and do not provide the functionality needed to effectively manage risks. They require manual data input, which is time-consuming and error-prone. Analysis and simulations are limited and inflexible to changing business needs. As portfolios grow, spreadsheets slow down and cannot be scaled. Automation of key risk processes is not possible. Spreadsheets result in a passive rather than responsive approach to risk management. While low-cost, spreadsheets provide a false sense of security and increase long-term costs of risk management. Dedicated risk management systems are needed to properly manage risks.
Review the five signs that you need a new Segregation of Duties compliance st...Symmetry™
SOD solutions that worked a decade ago have become unmanageable for many organizations. First-generation GRC tools and manual processes haven’t kept up with today’s auditors, who now want proof of SOD controls. Periodic samplings have given way to demand for all-the-time, no-exception execution. Here are five ways to know you’ve put yourself at risk of SOD noncompliance.
Data Center Critical Infrastructure Risk and Vulnerabilities- Impact to Capit...Vincent Pelly
We at Citihub believe in the importance of having an end-to-end Business Continuity solution that includes not only a tested and validated data center and infrastructure design, but also the ability to provide staff with remote access to the key applications needed to continue operations.
Our recently published white paper provides senior executives with an overview of Disaster Recovery preparedness as well as outlining the potential risks and vulnerabilities that exist in critical infrastructure, specifically in the New York metropolitan area. Read the technical white paper “Data Center Infrastructure Risk and Vulnerabilities” to become aware of critical details that may not be covered in your business Disaster Recovery plans.
Disaster Recovery Planning: untapped Success Factor in an Organizationvishal dineshkumar soni
The disaster recovery planning forms to be an important component of any organization to overcome unplanned adversity. To function the successful organization or business model, the structuring of different sectors plays an important role and disaster planning becomes one such core element. Well before the catastrophic event occurs, an organized planned disaster management strategy can overcome the unexpected event and help to recover. In most organization, are equipped with the latest technological fronts but lacks disaster recovery plan management which may often lead to crisis. Even in the current scenario, where a large number of unexpected events are encountered, scanty measures are being implemented to equipped with disaster recovery plan management. Hence, based on these facts, the present study emphasis, the importance, components, and planning strategies of disaster recovery. Though a large number of reports highlight the structuring and functioning of an organization, only small studies have shed light on the presented topic which became the subject of investigation and study in this minireview
Excel In Managing Spreadsheet Risk Presentationgreghawes
The document discusses managing risks associated with spreadsheets. It proposes a 4-stage approach: 1) Identify critical spreadsheets, 2) Understand risk profiles, 3) Assess existing controls, and 4) Implement control solutions like independent reviews and a spreadsheet control framework. Spreadsheet risks are real, with errors costing companies millions. Proper risk management is needed given regulations and spreadsheets' integration in business processes.
The Use of Spreadsheets in Commodity Trading – 2015CTRM Center
Spreadsheets have long been an integral part of a trading company’s armory of tools and software. Over the years, the demise of the spreadsheet in commodity trading organizations has continued to be predicted with increasing frequency and regularity, and yet, the spreadsheet is alive, well, and kicking in 2015; as this survey proves. Despite the growing maturity of commercially available Commodity Trading and Risk Management software (CTRM) solutions, the increase in regulation and oversight and, the alarming number of horror stories involving spreadsheets in losses, mistakes and fraud, they seem difficult to eliminate. This survey, prompted by current round of regulation and controls, revisits the spreadsheet in commodity trading to discover how widespread and pervasive they are and why.
Ontonix Complexity Measurement and Predictive Analytics WP Oct 2013Datonix.it
Breakthrough analytics for your business. Ontonix model-free and patented technology is used for advanced BI, Risk and Business Governance Management. Discover the big picture from all structured business process and discover the hidden fragility an what your options are to fix it.
Do not measure the wrong KPI - we automatically discover the native and intrinsic key performance indicators for you.
5 reasons why spreadsheet based risk management systems don’t workRisk Edge Solutions
Spreadsheet-based risk management systems are prone to errors and do not provide the functionality needed to effectively manage risks. They require manual data input, which is time-consuming and error-prone. Analysis and simulations are limited and inflexible to changing business needs. As portfolios grow, spreadsheets slow down and cannot be scaled. Automation of key risk processes is not possible. Spreadsheets result in a passive rather than responsive approach to risk management. While low-cost, spreadsheets provide a false sense of security and increase long-term costs of risk management. Dedicated risk management systems are needed to properly manage risks.
Review the five signs that you need a new Segregation of Duties compliance st...Symmetry™
SOD solutions that worked a decade ago have become unmanageable for many organizations. First-generation GRC tools and manual processes haven’t kept up with today’s auditors, who now want proof of SOD controls. Periodic samplings have given way to demand for all-the-time, no-exception execution. Here are five ways to know you’ve put yourself at risk of SOD noncompliance.
Data Center Critical Infrastructure Risk and Vulnerabilities- Impact to Capit...Vincent Pelly
We at Citihub believe in the importance of having an end-to-end Business Continuity solution that includes not only a tested and validated data center and infrastructure design, but also the ability to provide staff with remote access to the key applications needed to continue operations.
Our recently published white paper provides senior executives with an overview of Disaster Recovery preparedness as well as outlining the potential risks and vulnerabilities that exist in critical infrastructure, specifically in the New York metropolitan area. Read the technical white paper “Data Center Infrastructure Risk and Vulnerabilities” to become aware of critical details that may not be covered in your business Disaster Recovery plans.
Disaster Recovery Planning: untapped Success Factor in an Organizationvishal dineshkumar soni
The disaster recovery planning forms to be an important component of any organization to overcome unplanned adversity. To function the successful organization or business model, the structuring of different sectors plays an important role and disaster planning becomes one such core element. Well before the catastrophic event occurs, an organized planned disaster management strategy can overcome the unexpected event and help to recover. In most organization, are equipped with the latest technological fronts but lacks disaster recovery plan management which may often lead to crisis. Even in the current scenario, where a large number of unexpected events are encountered, scanty measures are being implemented to equipped with disaster recovery plan management. Hence, based on these facts, the present study emphasis, the importance, components, and planning strategies of disaster recovery. Though a large number of reports highlight the structuring and functioning of an organization, only small studies have shed light on the presented topic which became the subject of investigation and study in this minireview
Risk Management by Deepak kumar dwivedi
To believe the news media, there are a host of cruel and omnipotent hackers out there who can totally destroy any system they set their minds to, spreading total devastation upon whoever and wherever they wish. The slightest freak of nature - heavy rain, a fire, a date on a calendar - can wipe any system out entirely. This is not the case: the devastation is not total, the destruction is not complete there are countermeasures that can be brought to bear to avoid this disastrous outcome.
This document discusses business continuity and disaster recovery planning. It addresses the business drivers for developing such plans, including increased reliance on technology, business complexity, and natural disasters. Compliance concerns for industries like healthcare and e-commerce are also covered. The document then explores various technical considerations for disaster recovery, such as virtualization, data center location, backup options, and best practices. It provides an overview of developing a comprehensive continuity plan to sustain business operations in the event of a disruption.
A Study of Automated Decision Making Systemsinventy
The decision making process of many operations are dependent on analysing very large data sets, previous decisions and their results. The information generated from the large data sets are used as an input for making decisions. Since the decisions to be taken in day to day operations are expanding, the time taken for manual decision making is also expanding. In order to reduce the time, cost and to increase the efficiency and accuracy, which are the most important things for customer satisfaction, many organisations are adopting the automated decision making systems. This paper is about the technologies used for automated decision making systems and the areas in which automated decisions systems works more efficiently and accurately.
This document provides guidance on conducting an Equipment Criticality Analysis (ECA). The ECA process identifies equipment that is most critical to business goals. It describes preparing for the analysis, including developing an equipment hierarchy and defining assessment criteria. The ECA evaluates the potential impact of equipment failure across categories like safety, quality, costs. This helps prioritize critical equipment and reliability improvement projects.
This white paper discusses nine common mistakes that lead to failed ERP system implementations in the public sector. The mistakes include: assuming there is natural support for the project; focusing on technology over people issues; not properly preparing by documenting current processes; trying to implement everything at once instead of in phases; providing minimal user support; underestimating resource requirements; overestimating how many "best practices" can be adopted; taking a narrow view of the project instead of considering external factors; and allowing deadlines to slip. The paper provides strategies for avoiding each mistake and successfully implementing an ERP system.
Automated decision making with predictive applications – Big Data AmsterdamLars Trieloff
My slides from tonight's talk at Impact HUB in Amsterdam on big data, machine learning, cognitive biases and how to overcome them with predictive applications.
Safety in design paper a live picture of organisational risk by linking risk...Alex Apostolou
Bowties are an efficient, highly adaptable and well-accepted tool for the visualisation and analysis of risk. Even to the untrained eye, the bow tie’s map-like elements are quickly intuited (overall shape, left-to-right flow of linked boxes, standard labels, etc.) and help to define the risk’s dimensions, boundaries and interactions, encouraging navigation, exploration, discovery and hopefully, preparedness.
However, by virtue of their scenario-based frame of reference there is often a great deal of overlap within bowtie registers. Left unresolved in an assurance process, these overlaps would increase the resourcing and verification burden unsustainably.
This case study provides an insight to the key learnings from the implementation of an integrated risk management and control assurance program into an explosives and chemicals manufacturing organisation with 65+ sites. Key amongst the objectives was the creation of a live risk profile to best guide budgetary decision-making for risk reduction, facilitating a more comprehensive understanding of current fatality risk and control at all levels of the business – in the most resource efficient manner possible.
The implemented solution involved identifying the common elements in more than 1,600 bowties and managing them centrally, providing a highly-leveraged assurance approach delivering site and corporate risk profiling at a lower cost, in-built continuous improvement, real-time data sharing, and dynamically calculated bowties; all managed with little or no on-site expertise.
This document provides an overview of information and systems concepts. It defines data and information, explaining that information is data that has been processed to convey meaning. It discusses the different types of information needed in organizations, including operating, management, trigger, and background information. It also covers systems theory concepts like objectives, properties, and types of information systems.
This document analyzes a computer-based information system used in a work environment. It details the inputs, processing methods, and reports produced by the system. The summary provides an overview of the key points:
1) It describes the basic components of the information system, including how data is collected and transformed into useful information through processing.
2) It explains how information flows through different management levels in an organization and the types of reports - operational, tactical, and strategic - produced at each level.
3) It discusses important aspects of information systems like data security, file organization, and ergonomic design to protect information and optimize user experience.
Risk management involves identifying potential problems, assessing their likelihood and impacts, and developing strategies to address them. There are two main risk strategies - reactive, which addresses risks after issues arise, and proactive, which plans ahead. Key steps in proactive risk management include identifying risks through checklists, estimating their probability and impacts, developing mitigation plans, monitoring risks and mitigation effectiveness, and adjusting plans as needed. Common risk categories include project risks, technical risks, and business risks.
This document summarizes key points about using information technology to enhance risk management programs. It discusses how evolving technologies like big data analytics, cloud computing, and business intelligence tools can help risk managers more effectively capture, analyze, and respond to risk data. These technologies allow organizations to better monitor risks across business units and use predictive insights to make informed decisions. The document also outlines components of an effective risk management program and how basic tools like spreadsheets or more sophisticated risk management software can help organizations inventory, evaluate, and prioritize risks.
Stratex Risk Events enables the capture, management, and reporting of operational loss events in real-time. Events go through a 7-stage process: capture, resolution, approval, analysis, estimation, close, and investigation. Users can add new events and view open events they are responsible for. The stages are designed to capture key details like findings, evidence, resolutions, risks crystalized, controls failed, causes, and consequences. Events link to the Stratex risk framework and governance model.
BCBS 239 outlines 14 principles for financial institutions to improve their risk management practices in response to deficiencies identified during the 2008 financial crisis. The principles address governance, risk data aggregation capabilities, risk reporting practices, and supervisory review. Implementing BCBS 239 is costly for institutions but aims to provide benefits like improved data governance, increased management confidence in risk analysis and reporting, and more intelligent risk management reports. Compliance is now mandatory and ongoing as regulators assess institutions annually to ensure continued adherence to the principles and support effective risk management.
KnowRisk is a risk management software solution that allows users to design their own risk management processes and forms. It has a knowledge base for categorizing and managing risk data across different contexts. KnowRisk includes features like workflow management, reporting, document management and integration capabilities. It is a flexible software that can be customized and adapted to meet the changing needs of an organization's risk framework.
The role of Risk Assessment and Risk Management is to continuously Identify, Analyze, Plan, Track, Control, and Communicate the risks associated with a project.
The Webster’s definition of risk is the possibility of suffering a loss. Risk in itself is not bad. Risk is essential to progress and failure is often a key part of learning. Managing risk is a key part of success.
This document describes the foundations for conducting a risk assessment of a large-scale system development project. Such a project will likely include the procurement of Commercial Off The Shelf (COTS) products as well as their integration with legacy systems.
Analytics applications are designed to measure, predict, and optimize business performance; they are used to analyze specific data related to particular aspects of a business. This paper discusses how Pivotal CRM Analytics can help companies across a range of industries improve their effectiveness through practical, low-cost CRM analytics applications.
The Genpact Intelligent Process Insights Engine (IPIE) provides a platform for developing purpose-built analytics applications to drive business outcomes. It uses a Systems of Engagement approach, applying process expertise to map information supply chains and pull only relevant data from various systems into the IPIE. Applications are then built on the IPIE to deliver consistent analytics and insights across the enterprise. This approach organically embeds data governance and avoids issues of traditional analytics methods. The Genpact IPIE and associated applications can provide a "single version of the truth" that enterprises seek to improve performance through intelligent operations.
The white paper discusses SAS's platform for business analytics which provides a unified infrastructure for data integration, analytics, and reporting. This platform allows organizations to integrate different data sources and systems, gain insights through predictive analytics, and provide reporting tools. It helps organizations address challenges like supporting growth, managing increasing demand for data and intelligence, and extracting more value from existing IT assets.
This document discusses lean visual management techniques for analyzing data. It begins by explaining the importance of visual management to quickly understand processes and turn data analytics into an organizational strength. Some key lean visual management techniques discussed include histograms to evaluate data distribution, bar charts for variance analysis, Pareto charts to identify top issues, and stacked workload balance charts to track workflow. The document stresses the importance of clean, organized data and using visual tools to detect abnormalities and drive continuous improvement.
Risk Management by Deepak kumar dwivedi
To believe the news media, there are a host of cruel and omnipotent hackers out there who can totally destroy any system they set their minds to, spreading total devastation upon whoever and wherever they wish. The slightest freak of nature - heavy rain, a fire, a date on a calendar - can wipe any system out entirely. This is not the case: the devastation is not total, the destruction is not complete there are countermeasures that can be brought to bear to avoid this disastrous outcome.
This document discusses business continuity and disaster recovery planning. It addresses the business drivers for developing such plans, including increased reliance on technology, business complexity, and natural disasters. Compliance concerns for industries like healthcare and e-commerce are also covered. The document then explores various technical considerations for disaster recovery, such as virtualization, data center location, backup options, and best practices. It provides an overview of developing a comprehensive continuity plan to sustain business operations in the event of a disruption.
A Study of Automated Decision Making Systemsinventy
The decision making process of many operations are dependent on analysing very large data sets, previous decisions and their results. The information generated from the large data sets are used as an input for making decisions. Since the decisions to be taken in day to day operations are expanding, the time taken for manual decision making is also expanding. In order to reduce the time, cost and to increase the efficiency and accuracy, which are the most important things for customer satisfaction, many organisations are adopting the automated decision making systems. This paper is about the technologies used for automated decision making systems and the areas in which automated decisions systems works more efficiently and accurately.
This document provides guidance on conducting an Equipment Criticality Analysis (ECA). The ECA process identifies equipment that is most critical to business goals. It describes preparing for the analysis, including developing an equipment hierarchy and defining assessment criteria. The ECA evaluates the potential impact of equipment failure across categories like safety, quality, costs. This helps prioritize critical equipment and reliability improvement projects.
This white paper discusses nine common mistakes that lead to failed ERP system implementations in the public sector. The mistakes include: assuming there is natural support for the project; focusing on technology over people issues; not properly preparing by documenting current processes; trying to implement everything at once instead of in phases; providing minimal user support; underestimating resource requirements; overestimating how many "best practices" can be adopted; taking a narrow view of the project instead of considering external factors; and allowing deadlines to slip. The paper provides strategies for avoiding each mistake and successfully implementing an ERP system.
Automated decision making with predictive applications – Big Data AmsterdamLars Trieloff
My slides from tonight's talk at Impact HUB in Amsterdam on big data, machine learning, cognitive biases and how to overcome them with predictive applications.
Safety in design paper a live picture of organisational risk by linking risk...Alex Apostolou
Bowties are an efficient, highly adaptable and well-accepted tool for the visualisation and analysis of risk. Even to the untrained eye, the bow tie’s map-like elements are quickly intuited (overall shape, left-to-right flow of linked boxes, standard labels, etc.) and help to define the risk’s dimensions, boundaries and interactions, encouraging navigation, exploration, discovery and hopefully, preparedness.
However, by virtue of their scenario-based frame of reference there is often a great deal of overlap within bowtie registers. Left unresolved in an assurance process, these overlaps would increase the resourcing and verification burden unsustainably.
This case study provides an insight to the key learnings from the implementation of an integrated risk management and control assurance program into an explosives and chemicals manufacturing organisation with 65+ sites. Key amongst the objectives was the creation of a live risk profile to best guide budgetary decision-making for risk reduction, facilitating a more comprehensive understanding of current fatality risk and control at all levels of the business – in the most resource efficient manner possible.
The implemented solution involved identifying the common elements in more than 1,600 bowties and managing them centrally, providing a highly-leveraged assurance approach delivering site and corporate risk profiling at a lower cost, in-built continuous improvement, real-time data sharing, and dynamically calculated bowties; all managed with little or no on-site expertise.
This document provides an overview of information and systems concepts. It defines data and information, explaining that information is data that has been processed to convey meaning. It discusses the different types of information needed in organizations, including operating, management, trigger, and background information. It also covers systems theory concepts like objectives, properties, and types of information systems.
This document analyzes a computer-based information system used in a work environment. It details the inputs, processing methods, and reports produced by the system. The summary provides an overview of the key points:
1) It describes the basic components of the information system, including how data is collected and transformed into useful information through processing.
2) It explains how information flows through different management levels in an organization and the types of reports - operational, tactical, and strategic - produced at each level.
3) It discusses important aspects of information systems like data security, file organization, and ergonomic design to protect information and optimize user experience.
Risk management involves identifying potential problems, assessing their likelihood and impacts, and developing strategies to address them. There are two main risk strategies - reactive, which addresses risks after issues arise, and proactive, which plans ahead. Key steps in proactive risk management include identifying risks through checklists, estimating their probability and impacts, developing mitigation plans, monitoring risks and mitigation effectiveness, and adjusting plans as needed. Common risk categories include project risks, technical risks, and business risks.
This document summarizes key points about using information technology to enhance risk management programs. It discusses how evolving technologies like big data analytics, cloud computing, and business intelligence tools can help risk managers more effectively capture, analyze, and respond to risk data. These technologies allow organizations to better monitor risks across business units and use predictive insights to make informed decisions. The document also outlines components of an effective risk management program and how basic tools like spreadsheets or more sophisticated risk management software can help organizations inventory, evaluate, and prioritize risks.
Stratex Risk Events enables the capture, management, and reporting of operational loss events in real-time. Events go through a 7-stage process: capture, resolution, approval, analysis, estimation, close, and investigation. Users can add new events and view open events they are responsible for. The stages are designed to capture key details like findings, evidence, resolutions, risks crystalized, controls failed, causes, and consequences. Events link to the Stratex risk framework and governance model.
BCBS 239 outlines 14 principles for financial institutions to improve their risk management practices in response to deficiencies identified during the 2008 financial crisis. The principles address governance, risk data aggregation capabilities, risk reporting practices, and supervisory review. Implementing BCBS 239 is costly for institutions but aims to provide benefits like improved data governance, increased management confidence in risk analysis and reporting, and more intelligent risk management reports. Compliance is now mandatory and ongoing as regulators assess institutions annually to ensure continued adherence to the principles and support effective risk management.
KnowRisk is a risk management software solution that allows users to design their own risk management processes and forms. It has a knowledge base for categorizing and managing risk data across different contexts. KnowRisk includes features like workflow management, reporting, document management and integration capabilities. It is a flexible software that can be customized and adapted to meet the changing needs of an organization's risk framework.
The role of Risk Assessment and Risk Management is to continuously Identify, Analyze, Plan, Track, Control, and Communicate the risks associated with a project.
The Webster’s definition of risk is the possibility of suffering a loss. Risk in itself is not bad. Risk is essential to progress and failure is often a key part of learning. Managing risk is a key part of success.
This document describes the foundations for conducting a risk assessment of a large-scale system development project. Such a project will likely include the procurement of Commercial Off The Shelf (COTS) products as well as their integration with legacy systems.
Analytics applications are designed to measure, predict, and optimize business performance; they are used to analyze specific data related to particular aspects of a business. This paper discusses how Pivotal CRM Analytics can help companies across a range of industries improve their effectiveness through practical, low-cost CRM analytics applications.
The Genpact Intelligent Process Insights Engine (IPIE) provides a platform for developing purpose-built analytics applications to drive business outcomes. It uses a Systems of Engagement approach, applying process expertise to map information supply chains and pull only relevant data from various systems into the IPIE. Applications are then built on the IPIE to deliver consistent analytics and insights across the enterprise. This approach organically embeds data governance and avoids issues of traditional analytics methods. The Genpact IPIE and associated applications can provide a "single version of the truth" that enterprises seek to improve performance through intelligent operations.
The white paper discusses SAS's platform for business analytics which provides a unified infrastructure for data integration, analytics, and reporting. This platform allows organizations to integrate different data sources and systems, gain insights through predictive analytics, and provide reporting tools. It helps organizations address challenges like supporting growth, managing increasing demand for data and intelligence, and extracting more value from existing IT assets.
This document discusses lean visual management techniques for analyzing data. It begins by explaining the importance of visual management to quickly understand processes and turn data analytics into an organizational strength. Some key lean visual management techniques discussed include histograms to evaluate data distribution, bar charts for variance analysis, Pareto charts to identify top issues, and stacked workload balance charts to track workflow. The document stresses the importance of clean, organized data and using visual tools to detect abnormalities and drive continuous improvement.
This document proposes the Zeta Architecture, an enterprise architecture that enables simplified business processes and scalable data integration. It aims to leverage all existing hardware, maintain some isolation, improve data backup and disaster recovery, and allow dynamic allocation of resources. The architecture consists of seven pluggable components: distributed file system, real-time data storage, pluggable compute model, deployment/container management, solution architecture, enterprise applications, and dynamic global resource management. It is designed to simplify applications and accommodate business needs.
Organizations often struggle with costly and delayed ERP implementations when they focus solely on technology, ignore requirements definition, and rush from requirements to development without proper planning. Implementing a project management office (PMO) can help organizations avoid common pitfalls by providing structure, oversight, and governance over project scope, scheduling, resources, communication and reporting. Leveraging a PMO's roles in solution architecture, process improvement, mentoring, knowledge sharing, and facilitation can help ensure ERP implementations are successfully delivered on time and on budget.
Charisma Analyzer - Business Intelligence SoftwareTotalSoft
www.charisma.ro
www.totalsoft.ro
Charisma Analyzer powered by Tableau Software, the BI software solutions market leader through an efficient implementation and reduced time to adapt to customer requirements, brings major functional advantages, ensuring the highest standard of visualization and data analysis in the industry, but also by transforming the system into a simple and easy to use one, designed for users that are less familiar with BI software.
Charisma Analyzer powered by Tableau Software addresses all activity fields – financial services, retail and distribution, logistics, services, constructions, medical, pharmaceutical, human resources - provides an updated and extremely important support for planning and optimizing the company business processes.
1KEY is a business intelligence tool developed by MAIA Intelligence to enable dynamic reporting and data analysis from various business applications like ERP, CRM, and SCM systems. It allows users to create ad-hoc reports and analyze data in real-time without needing to export to Excel or rely on static reports. 1KEY includes features like query building, multi-dimensional reporting, scheduling, and a user hierarchy for security. The goal is to empower all employees with easy-to-use and intuitive analytics tools to facilitate faster and more profitable business decisions.
Chapter 3 E R P And Related Tech Alexis LeonSonali Chauhan
This document discusses how various technologies can help overcome limitations of standalone ERP systems. It describes ERP systems and their limitations in generating custom reports and analyzing trends. It then explains how technologies like business process reengineering, data warehousing, data mining, online analytical processing, and supply chain management can be integrated with ERP systems to provide better analytics and decision making capabilities when used together.
The document discusses best practices for data management in an enterprise risk management platform. It recommends a unified data model that includes all elements of ERM and can flexibly extend over time. The data model should consistently represent different types of data according to business rules in a data dictionary. It also suggests a common metadata framework, security framework, access engines, and data quality capabilities to integrate disparate data sources for comprehensive risk analysis.
This document discusses considerations for evaluating controls over the use of spreadsheets as part of complying with Section 404 of the Sarbanes-Oxley Act. It notes that many companies rely heavily on spreadsheets for financial reporting and operations. The document provides a 5-step process for evaluating spreadsheet controls which includes inventorying spreadsheets, evaluating their use and complexity, determining necessary controls, evaluating existing controls, and developing plans to remediate any deficiencies. It also discusses potential risks with spreadsheets, categories of spreadsheet use and complexity, and examples of controls that should be considered.
http://www.hcltech.com/industrial-manufacturing/overview- More on Industrial Manufacturing
Manufacturing is one of the worst hit industries in the current economic downturn. What at first appeared to be a financial meltdown was deep enough to stay, spread and affect the supply and hence the entire manufacturing industry as a whole.
Recession always brings with itself volatility in demand. Demand volatility is a double edged sword - any effort to ramp up or ramp down production by large volumes is prohibitively costly. If not, manufacturers are left with excess or deficit inventory or reduce prices/cost to boost demand. Neither is attractive as the industry already operates under tight margins and costs are fixed.
Cutting down manufacturing costs is easier said than done. Some of the simpler but commonly overlooked solution is to increase operational efficiency of equipments. But efficiency cannot be increased unless it is objectively measured and more so, tracked. Calculating the overall equipment effectiveness (OEE) rate is a crucial element of any serious commitment to reduce equipment and process related wastes.
HCL's Diversified Manufacturing Practice has come out with several innovative IP based solution frameworks to address crucial challenges faced by Industrial Manufacturing firms. Enterprise Analytics Dashboard is one such solution that aims at presenting key Operational metrics like OEE, Availibility, Performance, Quality, Yield Rate on real-time basis.
Performance problems are common in mission critical Java and .NET applications running in distributed, heterogeneous environments. Problem resolution takes too much time and resources using current tools. Traditional developer tools like debuggers and profilers do not work in production and do not provide the information needed to diagnose problems across multiple servers. Performance issues can occur anywhere in a transaction's execution path, so simply addressing symptoms does not solve the underlying problem. A new approach is needed to efficiently collect diagnostic data and speed up root cause analysis.
Harnessing the Power of an Enterprise IT Dashboard - uptime softwareuptime software
Discover the three key reasons how enterprise IT dashboards can deliver highly valuable information to your organization in an easy to use format, and learn the importance of implementing simple processes that will turn dashboard data into actionable IT decisions.
The Financial Quick-Mart with Intelligent Reporting & Advanced Analytics is an out-of-the-box solution that provides deep insights into corporate financial metrics. It is fully integrated with Lawson and designed to rapidly deploy advanced dashboards and reports. The Quick-Mart addresses any BI requirement, from ad-hoc reporting to visualizations. It analyzes financial data by user-defined criteria to introduce greater reporting flexibility and efficiency.
Why And Ontology Engine Drives The Point Cross Orchestra EngineKuzinski
This document discusses why an ontology engine is used to drive the PointCross Orchestra platform instead of a traditional monolithic data model. It notes that traditional enterprise software uses a monolithic data model approach that poses limits, especially for knowledge-intensive industries where decisions require judgment rather than just data. The ontology engine allows for a more dynamic representation of knowledge that can adapt to organizational changes and better support strategic decision making. It also allows integrating both structured data and unstructured content to provide context-based access, which is important for knowledge work.
Why And Ontology Engine Drives The Point Cross Orchestra EngineKuzinski
This white paper is a response to frequent requests recently from
customers who are curious about our choice of dynamic ontology to
drive the entire data representation within the unique software
architecture of our Orchestra platform instead of the traditional
monolithic data model based software solutions in the industry.
This document provides an overview of a fastrack distribution management system (DMS) pilot implementation approach for utilities. The approach involves four phases: Build, where a subset of the utility's network is modeled; Learn, where the model is evaluated; Plan, where future goals and strategies are identified; and Execute, where the DMS software is deployed. The pilot helps utilities demonstrate DMS benefits, better understand their data needs, and build support for further smart grid projects.
Similar to Excel In Managing Spreadsheet Risk (20)
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
UiPath Test Automation using UiPath Test Suite series, part 5
Excel In Managing Spreadsheet Risk
1. 0300 IA&BR February 06 9/1/06 20:34 Page 32
FEATURE
Excel in managing
spreadsheet risk
Finance would be virtually unthinkable without the humble spreadsheet.
Jonathan Wyatt and Scott Bolderson offer advice on how to minimise the
risks of using this ubiquitous business tool
T
HE RISK ASSOCIATED only about financial reporting management requires and where
with the use of Risk. Spreadsheet risk is pervasive spreadsheets are as a result
spreadsheets has become across the business as a whole. widely used. A simple self-
increasingly high profile assessment survey can generate
Attitude
over the last couple of years. very useful results.
Businesses that are required to There are four key stages to Having identified high-risk
comply with the Sarbanes Oxley managing spreadsheet risk (See Key areas, the next stage is to prepare
Act are likely to have created an stages). A good place to start is the an inventory or register of the
inventory of spreadsheets deemed areas of highest risk, which entails spreadsheets in use. Once again,
critical to the financial reporting considering the business’s attitude there are many ways of putting
process. The number of to risk. What is it that keeps senior together the inventory and how the
spreadsheets identified has been a inventory is
surprise to many businesses. For prepared is not
“Automated solutions can help fine tune
those who have not been through important.
security and enforce change management
this process, they may not have a However, in our
and data retention policies”
clue about how many spreadsheets experience a
exist in their organisation. walkthrough of
Unfortunately, having key business
prepared the inventories, and management awake at night? What processes is one of the best ways of
assessed this risk, many decisions do we take that could ensuring that all critical
businesses have not been able to have a significant impact on spreadsheets are identified.
identify practical solutions and shareholder value? What could Automated tools can also be used
have found themselves asking the seriously damage our reputation? to scan networks for important
question, what do we do next? Work should be prioritised on spreadsheets. Key attributes such
The good news is that there are those areas of highest risk. as File Size and Last Modified date
solutions out there. But the bad Whilst an inherent risk can be used to identify potentially
news is that for many businesses assessment can be helpful, another current and complex spreadsheets.
the spreadsheets identified to date key question to ask is where does Sequential filenames can also be a
are only the tip of the iceberg. the business place heavy reliance give away of regular analysis.
Whilst an inventory prepared for on spreadsheets? The middle It is important to pick up
the Sarbanes Oxley Act is a good management team is usually very spreadsheets supporting analyses
start, it is important to remember aware of which core applications on which decisions are made,
that the Sarbanes Oxley Act is do not provide the information that spreadsheets used for
32 Internal Auditing & Business Risk | February 2006
2. 0300 IA&BR February 06 9/1/06 20:34 Page 33
FEATURE
presentation and reporting
purposes, spreadsheets that drive
assumptions that feed into other
systems (or other spreadsheets),
spreadsheets that support the
control environment, that monitor
processes with a view to detecting
errors, and spreadsheets that are
used for data capture or to
process adjustments.
For each spreadsheet, it is
important to capture who is
deemed the spreadsheet owner(s);
who designed and built the
spreadsheet; key data maintained
in the spreadsheet; frequency with
which the analysis is prepared;
what the spreadsheet is used for;
and details of interfaces to/from
the spreadsheet. This information
is important in making an
assessment of the significance of
the spreadsheet.
Priorities
The next stage is to assess the
importance of each spreadsheet,
which will enable the business to
prioritise on the spreadsheets that
matter. Each spreadsheet should be
considered from two perspectives:
criticality and complexity.
By understanding the functions
performed by the spreadsheet and
the overall control environment in
which it operates we can make an
assessment of the criticality of the
spreadsheet to the organisation. A
common mistake is to assess
criticality only in terms of direct
Key stages
• Identify potentially critical spreadsheets
• Understand the risk profile
• Assess spreadsheet controls
• Implement control solutions
financial loss resulting from an
error in the spreadsheet. Whilst
potential for direct financial loss as
a result of error is clearly
important, there are other factors to
take into account.
For example, organisations
may wish to consider the
sensitivity of the information
contained in the spreadsheet and
the impact of information in the
spreadsheet getting into the wrong
hands. Or the opportunity to use
the spreadsheet to perpetrate ➲
33
February 2006 | Internal Auditing & Business Risk
3. 0300 IA&BR February 06 9/1/06 20:34 Page 34
FEATURE
is also helpful to have an appropriate location on the
➲ fraud, for example by inflating
understanding of the complexity network and it may be appropriate
budgets, covering up poor
when evaluating the type and to use passwords to control access
performance, manipulating key
level of control to implement to the spreadsheet. Design
information on which bonus
around the spreadsheet. methods could be important: for a
payments are based. Or the reliance
Assessing a spreadsheet’s relatively complex spreadsheet it is
on the spreadsheet as a key control
complexity can be based on a important to design the
over a business critical process.
number of criteria. For example, the spreadsheet so as to reduce the risk
When considering the criticality
size or scale of the spreadsheet; the of errors arising. And integrity
of a spreadsheet it is important to
spreadsheet layout and design; the checks: check totals should be built
not only consider the functions that
formulae design; and logical into the spreadsheet to highlight
the spreadsheet is performing but
complexity. There are a number of errors arising from incomplete or
other controls that operate which
relatively cheap automated inaccurate data capture.
may mitigate any risk associated
solutions in the market place that At this stage the question
with the spreadsheet. When
will perform this calculation based should arise, should we really be
performing the assessment, it is
on specific criteria defined by the using a spreadsheet at all? If the
rarely practical to use a linear scale
user. A manual approach is often spreadsheet has high complexity
of 1 to 5 for this, so more subjective
less efficient and can lead to and high criticality and is used on a
descriptions are needed.
inconsistencies. frequent basis over a prolonged
For example, one may indicate
period, the answer is almost
that no key business decisions are
certainly ‘no’. Whatever the
made based on the information.
Figure 1 conclusion we reach on whether or
The risk materialising would be of
Spreadsheet control not we should be using the
embarrassment to those directly
spreadsheet, the likelihood is that it
associated with the spreadsheet, but
framework is here to stay, at least in the short
would have no real long term
term, and hence we need to look for
impact on the business. Three may
ways and means of improving the
indicate that an error in the
level of control.
spreadsheet or a delay in
preparation of the spreadsheet may
Spreadsheet Policy
Solutions
result a significant loss to the
Stage four entails implementing
business. Information contained in
control solutions. The first priority
the spreadsheet is sensitive and
for a high-risk spreadsheet is
employees could exploit the
usually to ensure that it is doing
information if they had access to it.
what is was designed to do, which
And, five may mean that an error in
is usually achieved through a
the spreadsheet or a delay in Roles and Control Minimum
spreadsheet review. A spreadsheet
preparation of the spreadsheet may responsibilities Processes Standards
review tests the logical security,
result a material loss to the
internal consistency and arithmetic
business. Information contained in
accuracy of the formulae,
the spreadsheet is highly sensitive
When assessing complexity, it is algorithms and calculations within
and inappropriate disclosure may
important to also consider the all cells of the selected spreadsheets.
be exploited by markets or
complexity of the subject matter, Consideration would also often be
competitors or could be in breach of
not just the form of the spreadsheet. given to the reasonableness of key
legislation (such as data protection
Some form of judgement is assumptions, and the accuracy of
legislation). The spreadsheet could
required. Having performed the data capture. This independent
be used to perpetrate senior
analysis, some form of risk map review is designed to provide
management fraud.
should determine if further action is reasonable assurance that the
Scale required and to prioritise the work. spreadsheet does not contain
Assessing spreadsheet material or logical errors.
The scale does not usually start at 0.
controls is often the simplest Unfortunately, a spreadsheet
This is for the simple reason that if
stage as it is usually the case that review only represents a point in
internal audit identifies a
no controls, or at best inadequate time assessment. Having
spreadsheet in which an error
controls, exist. It is as a result established the integrity of the
would have no impact on the
usually a relatively quick process spreadsheet, it is important to
business, then the spreadsheet is
to assess the existing controls. implement controls that provide
probably not needed.
The type of controls required us with reasonable assurance
Assessing the complexity of a
would be dependent on the nature going forward.
spreadsheet is relatively
of the risk identified in stage two. Defining a Spreadsheet
straightforward and once again
The key controls in a spreadsheet to Control Framework, such as that
we tend to adopt a 5-point scale.
provide assurance over its integrity illustrated in figure 1, will ensure
Spreadsheets range in complexity
would typically include such issues that all aspects of spreadsheet
from simple worksheets to large
as access controls. For example, the management are addressed.
and complex models with many
spreadsheet should be stored in an The diagram shows that there
worksheets, links and formulae. It
34 Internal Auditing & Business Risk | February 2006