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Posted on Apr 23, 2024

You are to write a short report/essay (maximum 3000 words): Write a report/essay on what you would do as a Business Analyst and Manager

You are to write a short report/essay (maximum 3000 words): "Write a report/essay on what you would do as a Business Analyst and Manager of the Analytics Department in developing a set of guidelines and policies for data privacy, data security, data breach prevention and ethics for your organization. Pay particular attention in advanced Al and robotics technologies used in business analytics and intelligence information analysis in one or more of the following business/industries." You can choose one or more of the following industries as the background in supporting your report/essay: Social Media Online eCommerce Retail Business (Bricks and Mortar) Human Resources Management Banking Financial Management Insurance Risks Management Automation Automotive Manufacturing Transports Logistics Supply Chain Management Hospitality Utility (e.g. electricity, water, gas) Real Estate Energy (e.g. hydro, coal, solar, wind, biomass, gas, nuclear) Building and Construction Infrastructure Management. Healthcare Education You can also propose an industry that is not listed above.

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Title Developing Guidelines and Policies for Data Privacy Security and Ethics in Advanced Analytics A Business Analysts Perspective Introduction As businesses increasingly rely on advanced analytics and AI technologies to drive decisionmaking and gain insights the importance of data privacy security and ethics becomes paramount As the Business Analyst and Manager of the Analytics Department it is my responsibility to develop a comprehensive set of guidelines and policies to safeguard sensitive data prevent data breaches and uphold ethical standards within our organization This report will outline the steps and considerations involved in creating these guidelines focusing on their application in the banking industry 1 Understanding the Regulatory Landscape Before crafting guidelines and policies it is crucial to understand the regulatory landscape governing data privacy and security In the banking industry regulations such as GDPR General Data Protection Regulation and PCI DSS Payment Card Industry Data Security Standard set strict requirements for handling customer data and financial information Compliance with these regulations should be a primary consideration when formulating our policies 2 Defining Data Privacy and Security Measures a Data Encryption Implement robust encryption techniques to protect sensitive data both in transit and at rest This includes encryption of customer transactions personal information and financial records b Access Control Restrict access to sensitive data through rolebased access controls RBAC and multifactor authentication MFA Only authorized personnel should have access to confidential information c Data Minimization Adopt a principle of data minimization collecting only the information necessary for business purposes and disposing of data that is no longer needed d Data Masking and Anonymization Utilize techniques such as data masking and anonymization to protect personally identifiable information PII and ensure customer privacy 3 Preventing Data Breaches a Regular Security Audits Conduct regular security audits and vulnerability assessments to identify and mitigate potential security risks b Employee Training Provide comprehensive training programs to educate employees about data security best practices phishing scams and social engineering tactics c Incident Response Plan Develop a detailed incident response plan outlining the steps to be taken in the event of a data breach including notification procedures and collaboration with regulatory authorities d Secure Development Practices Follow secure coding practices and conduct security reviews during the development of analytics applications and AI algorithms 4 Ethical Considerations in Analytics a ... blur-text-image