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Abstract
The impact of every crisis has the potential to cascade throughout an organisation’s operations, supply chain and market ecosystem. To properly understand and mitigate this ripple of dynamic risk, business continuity, security and risk management leaders need to know where to focus their attention. Looking at historical threat data provides a clearer picture of the risk landscape, helping leaders better anticipate and plan for the future. To date, however, there have been challenges in this process. As the volume of data about critical events continues to grow at an alarming rate, sifting manually through data puts organisations — and business continuity — in jeopardy. This paper discusses the value of historical threat data and innovations in data-mining technology that can unlock the true power of historical data for informed, strategic decision-making and better outcomes during a crisis.
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Author's Biography
Ann Pickren is Executive Vice President, Strategic Engagement for OnSolve. She brings more than 20 years of experience in the business continuity and crisis communications field to her role, leveraging her deep domain and industry expertise to drive strong customer relationships and innovative solutioning for key and strategic accounts. Ann is a resilience evangelist, and frequently speaks at Continuity Insights Management and Disaster Recovery Journal (DRJ) conferences, as well as other professional associations. She holds MBCI certification, is a member of the DRJ Executive Council, a past board member of the Business Continuity Institute USA Chapter, and past President and board member of the Atlanta Association of Continuity Professionals Chapter. In 2019, Ann was awarded the prestigious Lifetime Achievement Award from the Disaster Recovery Institute. Ann received her MBA from Georgia State University.
Citation
Pickren, Ann (2024, June 1). Mine the past: How to make better risk-based decisions and improve outcomes with historical threat data. In the Journal of Business Continuity & Emergency Planning, Volume 17, Issue 4. https://doi.org/10.69554/SMNN1062.Publications LLP