Your team is drowning in data from emerging risks. How can you keep them afloat with continuous monitoring?

é impossível um ser humano lembrar de tudo o que precisa fazer no mundo de hoje sem o uso da tecnologia. Qualquer indicador o pacote de atividades precisam estrar mapeadas e se possível com alerta automático para um potencial risco. Quando fui diretor de empresa com risco 4 em seguran?a do trabalho, qualquer desvio que pudesse ter um risco, eu e meu time eramos avisados automaticamente. Isso traz um conforto para podermos agir antes que o mais grave aconte?a.

Data overload is a common problem in large organisations. The key is to stay true to your problem statement. Maintaining scrutiny over whether the data available to you is capable of answering the business problem you are trying to solve, will save you a lot of time.

Start by establishing systems for continuous monitoring that filter and prioritize data, highlighting relevant information and discarding the noise. Set thresholds and alerts for key risk indicators to stay ahead of potential issues without being overwhelmed by every piece of information. This proactive approach enables your team to act swiftly when necessary, maintaining a manageable workload and ensuring focused attention on critical risks.

To keep a team exposed to congestion and overload of data from emerging risks, implementation of the following strategies is proposed: ? Identify and filter less critical data, focusing on the most significant risks. ? Prioritize data based on the potential impact and likelihood of risks. ? Automate the collection, analysis, and reporting of data (AI and machine learning increasingly aid us in this). ? Detect and respond to risks in real time as they arise. ? Provide continuous training to upgrade skills in data analysis, risk management, and use of new technologies. By using these items, officials can help their teams effectively to manage and monitor emerging risks, ensuring they stay focused, informed, and responsive.

Managing risk overload begins with recognizing its impact on the team and implementing effective continuous monitoring systems. Establish filters and thresholds to capture relevant data and eliminate noise, ensuring focus on critical risk indicators. Set up alerts for key metrics to allow the team to prioritize and respond swiftly to significant risks. Regularly review and adjust these parameters to adapt to evolving conditions. This proactive approach not only helps in managing the influx of data but also maintains a manageable workload, enabling the team to stay ahead of potential issues without becoming overwhelmed.

Regularly reviewing and adjusting these prioritization settings is essential to keep pace with the evolving risk landscape, ensuring that your team’s efforts are always aligned with the current risk profile. This dynamic approach helps maintain a proactive stance in risk management.

Dalam pengelolaan risiko, kadang algoritma tidak bisa menjadi patokan basis data, karena algoritma hadir dari input yang kita masukkan sebelumnya. Jika input sebelumnya benar, maka algoritma akan mendekati kebenaran, namun ada juga karena kebijakan sebelumnya yang salah akan menjadikan kita salah juga dalam mengambil satu kesimpulan, untuk itu jangan terlalu percaya dengan algoritma, karena algoritma pun bisa menipu anda. Akan lebih baik kita membuat desk research baru dengan menggunakan data & kondisi terbaru yang kita alami sendiri, atau menurut kita lebih mendekati masalah yang harus segera kita selesaikan . Jangan pernah percaya dengan data yang diberikan seolah sempurna, karena sesungguhnya disitulah risiko terbesar berada.

Se imagine tendo que fazer todo o seu trabalho de forma manual e repetitiva. Agora pense se isso é escalável e com baixa possibilidade de erro. Claro que em algum momento vamos falhar. N?o somos máquinas. A automa??o nada mais é que trazer tecnologia para esses trabalhos repetitivos e dependentes de uma a??o humana. Além disso, inúmeros s?o os benefícios, desde economia de recursos até diminui??o de erros. N?o tenha medo da automa??o.

Automated risk monitoring systems can swiftly and accurately process large volumes of data, identifying patterns and anomalies that might escape human detection. These systems can trigger alerts for your team to investigate further, saving time and reducing the likelihood of human error. By incorporating automation, you ensure that emerging risks are consistently and effectively monitored, allowing your team to focus on strategic decision-making rather than getting bogged down by data analysis.

Um exemplo que tenho é na empresa no qual trabalho. Foi implementada automa??o para análise de alguns documentos, onde agiliza nossos servi?os e dá uma eficácia na qualidade dos servi?os, entregando com mais brevidade.

This quick turnaround is crucial for mitigating risks before they escalate, maintaining operational security, and minimizing potential damage. By acting swiftly, you can address issues proactively, ensuring that your business remains resilient and adaptive in the face of emerging threats.

To enhance continuous monitoring within our organization, adopting a suite of collaborative tools is essential for effective communication and information sharing among team members. Implementing project management platforms like Trello and Asana can streamline task organization and improve workflow visibility, while communication tools such as Slack and Microsoft Teams facilitate real-time discussions. Centralizing risk data through Google Workspace and SharePoint allows all stakeholders to access and collaborate on critical documents efficiently. Additionally, leveraging risk management and analytics tools like RiskWatch and Tableau empowers teams to assess vulnerabilities collectively.

To keep your team afloat with continuous monitoring amidst emerging risks and overwhelming data: 1. Implement a risk management framework: Establish a structured approach to identify, assess, and mitigate risks. 2. Automate data collection: Leverage technology to streamline data gathering and reduce manual effort. 3. Use data analytics tools: Apply tools like dashboards, reports, and alerts to synthesize and visualize data. 4. Prioritize and focus: Concentrate on high-impact, high-likelihood risks and filter out noise. 5. Set thresholds and triggers: Establish clear criteria for escalating concerns and triggering actions. 6. Continuously update and refine: Regularly review and adjust monitoring strategies as risks evolve.

As new risks emerge and technologies evolve, your team must be flexible and ready to adapt their strategies and tools accordingly. This ensures that your risk management approach remains robust and proactive, empowering your organization to navigate an ever-changing landscape with confidence.

Você conhece algum atleta que ganhou um campeonato sem antes treinar muito? Invista muito em treinamento na sua empresa, pois esse investimento é o único que pode te diferenciar em qualquer mercado. E esse treinamento tem que ser continuo e duradouro, pois tudo pode ser melhorado. N?o adianta implementar se n?o treinar. N?o adianta cobrar se n?o treinar.

Continuous monitoring is a critical component of any effective risk management strategy, but it requires ongoing vigilance and training. It is essential that your team stays up-to-date on the latest tools and technologies, as well as any new risks that may arise. Regular training sessions can help ensure that your team is well-prepared to adapt to changing circumstances and proactively respond to potential threats. By investing in ongoing training and adaptability, you can better protect your organization and maintain a strong risk management framework.