MBA GSBA / SUNY former SOX Process Manager, Lead Auditor QMS certification, CIA, CISA
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