The value chain of a financial institution encompasses a series of activities and processes involved in delivering financial products and services to customers. 1. Operational Risks * Internal Processes:      Inefficiencies, errors, or breakdowns in internal processes, such as transaction processing could lead to operational failures. * Technology Risks:      Reliance on technology systems

A best practice project management process provides a systematic and efficient way to plan, execute and monitor projects. This not only increases the likelihood of project success but also contributes to the overall efficiency and effectiveness of an organization. 1. Initiate Project Project Risks: * Incomplete or unclear project requirements * Stakeholder

Effective climate governance requires collaboration and coordination among various actors such as United Nations, Government Agencies & Ministries as well as Non-Governmental Organizations (NGOs), Scientific Research & Advisory Bodies and Private Sector Engagement with an emphasis on transparency, accountability and the incorporation of the latest scientific knowledge into policy decisions.

Accounts reconciliation is a process used to ensure that the financial records of an organization are accurate and in agreement. It involves comparing different sets of records to make sure they match and resolving any discrepancies. The primary purpose of accounts reconciliation is to identify, follow-up and rectify errors, discrepancies,

Interpretation of the causal diagram for SIPOC based process management. Suppliers => Process Input Quality => Process Performance => Process Efficiency => Process Output Quality => Customer Satisfaction 1. Suppliers determine the Input quality * Suppliers provide the raw materials or components, services and data that are inputs to the process.

The SIPOC process modeling notation supported by the ProcessHorizon web app provides a structured and visual representation of a process, making it well-suited for cause-and-effect analysis and intervention scenarios. SIPOC causal diagram: Suppliers => Inputs => Process => Outputs => Customers 1. Clarity of Process Flow * Reasoning for Cause and

Let's consider three typical examples of causal inference scenarios, transforming observational data into an actionable causal inference model. 1. Smoking and Lung Cancer Causal Diagram: Smoking => Lung Cancer * Observation:      P(LungCancer∣Smoking) This notation represents the probability distribution of lung cancer when smoking is observed without any

Suppose that out of 8.5 million people, 70 percent are vaccinated and 30 percent are not. If a person is vaccinated, he or she has one chance in one hundred of developing a reaction and the reaction has one chance in one hundred of being fatal. On the other

The Book of Why by Judea Pearl is a seminal work on causal inference, and it introduces the concept of a causal inference engine based on the framework of causal diagrams (also known as causal graphs (X => Y). Here's a simplified explanation of the causal inference process

A company wants to ensure the integrity of its financial transactions and quickly identify any unusual or suspicious activities that may indicate fraud or errors. Solution Implement a machine learning-based anomaly detection system that learns the normal patterns of financial transactions and flags any deviations from these patterns. Process steps

A bank's holistic digital ecosystem contains a wealth of data that, when analyzed appropriately, can reveal valuable insights into customer behavior, preferences, and overall financial trends. Here are some conceivable hidden data that could be derived from such a digital ecosystem by Triple-A systems: 1. Spending Patterns * Identification

Mapping the ecosystem of a big international bank involves understanding its interactions with various stakeholders, the broader economic and regulatory environment as well as the social and environmental impacts of its operations governed by responsible and sustainable business practices. 1. Internal Stakeholder's sphere * Leadership and Management: The top

Job Overview The Quality Manager - ISO 9001 is responsible for overseeing the development, implementation, and continuous improvement of the company's Quality Management System in accordance with ISO 9001 standards. This role involves managing all aspects of the QMS, ensuring compliance and driving a culture of quality throughout

A best-in-class recruitment process is crucial for attracting top talent to your organization. It involves a series of well-defined steps and strategies designed to identify, attract, and hire the most qualified candidates. 7. Skills Assessments and Testing * Administer technical assessments, skills tests, or job-related tasks to evaluate candidates' abilities.

A best-in-class recruitment process is crucial for attracting top talent to your organization. It involves a series of well-defined steps and strategies designed to identify, attract, and hire the most qualified candidates. 1. Define Clear Job Requirements * Work closely with hiring managers to clearly define the job role, responsibilities and

Implementing a holistic SIPOC process model with visual end-to-end process maps over three process layers offers a wide range of benefits to small and medium-sized enterprises (SMEs) in their business operations. SIPOC process & data mapping methodology: Suppliers (Source) > Inputs (Data & Material)  > Process > Outputs (Products &

Via the Read-only link below, you can access and save this basic sandbox process model for digital transformation under your own project name and scamper and adapt this process model as suitable and export the automagically generated process map as a pdf document. Further access to your new process model

Why is the SIPOC process mapping methodology supported by the ProcessHorizon app key to digitalization and digital transformation ? Supplier (Source) > Input > PROCESS > Output > Customer (Destination) 1. Clarity and Understanding: SIPOC provides a clear and concise visual representation of a process from start to finish. In the

Why using a multi-dimensional All-in-One process & data mapping tool in support of responsible and trustworthy AI application design and deployment ? Sources > Data Input > Process > Data Output > Customer destination 1. Comprehensive Understanding: * Processes Clarity: Helps in mapping out all processes clearly, ensuring a thorough understanding of

The SIPOC based process mapping architecture supported by the ProcessHorizon app is multi-dimensional providing the following interrelated insights: - Process hierarchy supporting process decomposition - Process flow supporting an end-to-end process view - Data flow supporting a data-driven view e.g. for AI application design - Value flow supporting value

Below are some of my most frequent posts as inspiration for your unique process mapping venture via the ProcessHorizon web app Automated SIPOC process mapping via the all-in-one ProcessHorizon web app https://app.processhorizon.com/enterprises/obantwBAs1Hu81eTM8gUozV3/frontend Process Horizon AI process flywheel https://app.processhorizon.com/enterprises/s4uHs1Ho7K3pzySkuywx13N9/frontend

Step 1: Access the ProcessHorizonWeb app https://processhorizon.com Step 2: Identify process context for your envisaged SIPOC process model and enter Organization or Project name Step 3: Select +New Process Step 4: Identify the process to be mapped and enter Process name (verb + object) Step 5: Select appropriate Process

Successful deployment of an AI machine learning enabled supervisory stress test for systemically important banks depends on an ideation process as follows to guide the development of such an AI-driven stress test: 1. Establish clear objectives & scope * Define the primary objectives of the AI-enabled stress test, such as assessing

In addition to regular stress testing by the system relevant banks, supervisory stress testing should be triggered in case of significant events or developments in the financial markets or in the economy like a major economic downturn, financial crisis or significant change in market conditions or if there are specific

Die Prozesslandkarte visualisiert ein denkbares Prozessmodell für die Governance eines nationalen Finanzdepartements wie z.B. das EFD. Die Governance eines nationalen Finanzdepartements ist eine komplexe Aufgabe mit besonderen Herausforderungen: 1. Komplexität der Finanzmärkte: Die Finanzmärkte sind äusserst komplex und dynamisch. Die Regulierung und Überwachung dieser Märkte erfordert ein tiefes Verständnis