Assignment 5: Security And BCP Drafts 5 Page APA Original Do

Assignment 5: Security And BCPdra 5 Page Apa Original Document In Ms

Assignment 5: Security and BCP/DR. A 5 page APA original document in MS-Word describing your Information Security and DR approach for your (imaginary) Data Analytics company. This will include your assessment of the value of your data and analytics, and will explain how your approach to security and to DR matches the value of your data. My (imaginary) Data Analytics company is Data analytics on sports Sports: The field in which the firm will deal will be related to sports. The significance of analytics in sports: The mechanism in which the data is being collected, retained, processed, analyzed, and being reported has changed because of the evolution in the technologies. The change is not just limited for facilitation of collection and analysis, but it has also become easy to understand and implement the information which can be gained through the modern mechanism. The range of the utility of the analysis is not just limited to science or commerce field. In fact, its utility has even reached the field of arts, psychology, even sports, etc. the scope of sports analytics has increased due to the commercialization of the sports. Many companies are interested to invest in the sports. There are many examples which can be examined for the sport’s significance. Firms are providing sponsorship for the sports teams, clubs, and leagues. Football, rugby, baseball clubs and cricket leagues are the brightest examples of the way in which the money is following in huge amount in the sports field. See the file attached

Paper For Above instruction

Introduction

In the rapidly evolving landscape of sports, data analytics has become a pivotal element in enhancing team performance, audience engagement, and commercial success. As a data analytics company specializing in sports, it is imperative to develop robust security and disaster recovery (DR) strategies that protect valuable data assets and ensure continuity of operations. This paper delineates the security and DR approach tailored for an imaginary sports data analytics firm, emphasizing the valuation of its data and aligning security measures to safeguard its critical information.

Valuation of Data and Analytics in Sports

The core asset of a sports analytics firm is its data—comprising game statistics, player performance metrics, audience engagement data, sponsorship details, and financial transactions. This data possesses high commercial and strategic value, especially considering the increasing monetization of sports through sponsorships, broadcasting rights, and merchandise. As sports organizations and sponsors rely heavily on data-driven insights, the integrity, confidentiality, and availability of this data are vital. The sensitivity varies; while aggregate analytics may be less sensitive, proprietary models, detailed player data, and contractual information demand stringent protections.

Information Security Approach

The security approach adopts a layered defense mechanism aligned with the National Institute of Standards and Technology (NIST) cybersecurity framework. It includes implementing firewalls, intrusion detection systems (IDS), and encryption protocols to safeguard data both at rest and in transit. Role-based access control (RBAC) ensures that only authorized personnel can access sensitive information, reducing risks of insider threats. Additionally, regular security audits and vulnerability assessments are conducted to identify and mitigate emerging threats.

Given the distributed nature of the firm’s operations, cloud security becomes essential. The utilization of reputable cloud providers ensures physical and operational security, complemented by encryption and multi-factor authentication (MFA). Data encryption employs Advanced Encryption Standard (AES) 256-bit encryption, ensuring data confidentiality. Employee training programs emphasize security awareness, reducing the likelihood of social engineering attacks.

Disaster Recovery (DR) Strategy

The DR plan is designed to ensure data resilience and business continuity in the face of disruptions such as cyberattacks, hardware failures, or natural disasters. The firm employs a hybrid backup approach, combining on-site backups with off-site cloud backups. Regular data backups are scheduled daily, with incremental backups performed hourly to minimize data loss. Critical systems are mirrored in geographically diverse data centers to facilitate quick failover.

In addition, the firm implements a comprehensive Business Continuity Plan (BCP) that includes predefined procedures for incident response, communication strategies, and recovery timelines. Periodic disaster recovery testing ensures preparedness and helps identify gaps. For instance, simulated ransomware attacks assess the effectiveness of backup restoration processes, ensuring minimal downtime.

Matching Security and DR to Data Value

Given the high value of proprietary sports data and analytics models, security measures are prioritized to prevent data breaches and intellectual property theft. Encryption, access controls, and employee training mitigate insider threats and external attacks. The layered security approach aligns with the data’s sensitivity, ensuring only trusted personnel can access critical information.

The DR strategy emphasizes rapid recovery and minimal downtime to protect revenue streams stemming from sponsorship, broadcasting, and merchandise sales. High availability configurations reduce potential disruptions, maintaining client confidence and stakeholder trust. Regular testing and updates of the DR plan ensure continued alignment with the data’s evolving value and threat landscape.

Conclusion

In conclusion, a comprehensive security and disaster recovery framework is essential for safeguarding the valuable data assets of a sports data analytics firm. By aligning security protocols and DR strategies with the data’s value, the firm can mitigate risks, protect its intellectual property, and ensure business continuity. As the sports industry increasingly leverages data analytics for competitive advantage, robust security and DR measures will underpin sustainable growth and stakeholder confidence.

References

  • Anderson, R. (2020). Security Engineering: A Guide to Building Dependable Distributed Systems. Wiley.
  • Basevi, S., & Raghav, R. (2022). Data security in sports analytics: Challenges and solutions. International Journal of Sports Science & Technology, 12(4), 210-217.
  • Chu, H., & Zhang, Y. (2021). Cloud security strategies for business continuity. Journal of Cloud Computing, 9(3), 45-58.
  • National Institute of Standards and Technology. (2018). Framework for Improving Critical Infrastructure Cybersecurity. NIST.
  • Smith, J. (2019). Business continuity management: Principles and practice. Business Horizons, 62(2), 221-229.
  • Williams, P., & Kumar, S. (2021). Protecting proprietary sports analytics data: Strategies and best practices. Sports Management Review, 24(1), 55-65.
  • ISO/IEC 27001:2013. (2013). Information Security Management Systems — Requirements. International Organization for Standardization.
  • Zhao, L., & Li, T. (2020). Disaster recovery planning for cloud-based systems. IEEE Transactions on Cloud Computing, 8(4), 950-962.
  • Patel, R., & Sharma, D. (2019). Cybersecurity challenges in sports data management. Cybersecurity Journal, 3(2), 134-145.
  • O’Neill, P. (2022). Integrating security and resilience in data-driven organizations. Journal of Business Continuity & Emergency Planning, 16(1), 40-52.

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