{"id":4217,"date":"2019-07-22T15:33:53","date_gmt":"2019-07-22T18:33:53","guid":{"rendered":"https:\/\/www.nachodelatorre.com.ar\/mosconi\/?p=4217"},"modified":"2019-07-22T15:33:53","modified_gmt":"2019-07-22T18:33:53","slug":"como-aplicar-big-data-a-la-gestion-de-riesgos","status":"publish","type":"post","link":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=4217","title":{"rendered":"C\u00f3mo aplicar Big Data a la gesti\u00f3n de riesgos"},"content":{"rendered":"<p>La adopci\u00f3n de un enfoque predictivo aumenta la precisi\u00f3n de las detecciones de amenazas. Como resultado, los mecanismos de mitigaci\u00f3n se ponen en marcha antes de que las amenazas afecten las operaciones normales de la organizaci\u00f3n.<!--more--><\/p>\n<p><img loading=\"lazy\" class=\" alignright\" src=\"https:\/\/bigdataanalyticsnews.com\/wp-content\/uploads\/2017\/11\/big-data2.jpg\" alt=\"big data security\" width=\"492\" height=\"492\" \/>Utilization of big data has the potential to improve your organization\u2019s risk management strategies. It allows you to adopt a predictive approach which increases the accuracy of threat detections. As a result, you will institute mitigation mechanisms before the threats affect the normal operations of your organization.<\/p>\n<p>If you\u2019ve not adopted big data analytics in your organization, then you\u2019re missing on its incredible benefits. In fact, you\u2019re likely to lose your competitiveness since a majority of your competitors are harnessing the benefits of the big data to\u00a0<a href=\"https:\/\/reciprocitylabs.com\/risky-business-risk-assessments-101\/\" target=\"_blank\" rel=\"noopener noreferrer\">assess and mitigate their risks<\/a><u>,<\/u>\u00a0thus enhancing customer satisfaction.<\/p>\n<p><strong>What\u2019s Big Data?<\/strong><\/p>\n<p>This refers to structured and unstructured data that your organization collects during its daily operations. It may include digital information collected from public sources or data that have been directly obtained from the customers. It has three key features:<\/p>\n<ul>\n<li><strong>Volume.<\/strong>\u00a0It involves a high volume of data<\/li>\n<li><strong>Velocity.<\/strong>\u00a0Big data is received at a swift rate<\/li>\n<li><strong>Variety.<\/strong>\u00a0The information is usually in different forms including structured, semi-structured, and unstructured forms<\/li>\n<\/ul>\n<p>Due to the large volumes and high variety of big data, you require to have sophisticated tools to analyze it accurately. However, the data will significantly benefit your business, and you can be confident that it\u2019ll be worth every minute you spend on it.<\/p>\n<p><strong>The Relationship between Big Data and Risk Management<\/strong><\/p>\n<p><a href=\"https:\/\/bigdataanalyticsnews.com\/evolution-big-data-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">Big data<\/a>\u00a0helps in the identification of financial risks that have the potential to impact your business negatively. The evolution of technology has increased the risk of cyber-attacks, which makes it necessary to devise a framework to detect the threats before they destroy crucial aspects of your business.\u00a0 Using big data is one of the surest ways to predict the security future of your company.<\/p>\n<p>The predictive nature of this approach offers a platform to analyze all the cyber threats in real time and suggest possible mitigation strategy. When you use big data, you\u2019ll get more accurate findings since it\u2019ll simulate data from different platforms.<\/p>\n<p><strong>Applying Big Data in Risk Management<\/strong><\/p>\n<p>There are several ways that you can use big data to transform the security systems for your organization. The applications include:<\/p>\n<ul>\n<li><strong>Prevention of Fraud.<\/strong>\u00a0The use of predictive analysis is an excellent way of detecting money laundering and other fraudulent activities. The large volume of data is obtained from different sources which guarantee close monitoring of activities in different platforms. This increases the probability of detecting plans to engage in fraud before it happens. The big data analytic approach has been adopted by large organizations, governments, and other lending agencies to detect fraud<\/li>\n<\/ul>\n<ul>\n<li><strong>Management of Risks Associated with Third Parties.\u00a0<\/strong>If you decide to engage\u00a0<a href=\"https:\/\/reciprocitylabs.com\/what-is-vendor-risk-management\/\" target=\"_blank\" rel=\"noopener noreferrer\">vendors in your business<\/a>, you should be careful since they can compromise the integrity of your security systems. It\u2019s advisable that you use big data analytics to manage the operational and reputational risks linked to their involvement in your business. You\u2019ll use this approach to closely monitor the operations of the vendors, which eases your assessment process on their ability to protect your private data. Even after using this approach, it\u2019s necessary that you institute measures to curb third-party risks. They may include strong passwords, two-factor authentication, and firewalls<\/li>\n<\/ul>\n<ul>\n<li><strong>Crucial in Detecting Churn Rate for Organizations.<\/strong>\u00a0Loss of customers is painful for any entrepreneur! As such, you should use all the metrics to measure the probability of losing your clients to a competitor. One of the surest techniques involves the use of big data analysis. When you monitor the behavior of your clients, you\u2019ll quickly notice discontentment and complaints which will directly influence your decision-making process. Always ensure that you address all the complaints of the customers. This will lead to improved customer satisfaction, reduced churn rate, and enhanced overall productivity<\/li>\n<\/ul>\n<ul>\n<li><strong>Helps in Credit Management.<\/strong>\u00a0Credit is a high risk that has the potential to paralyze the operation of your business. As such, it\u2019s paramount that you manage the risk by analyzing big data to determine the previous economic history of your organization. This approach will enable you to assess the payment patterns, airtime purchases, and any other factor that may indicate possible loopholes of money misuse. Once you use this technique, you\u2019ll experience incredible financial discipline in your organization.<\/li>\n<\/ul>\n<ul>\n<li><strong>Managing Commercial Loans.<\/strong>\u00a0Before issuing any loan to a client, financial institutions evaluate the ability of the individual to repay. To improve the accuracy of the predictions, these institutions can use big data analytics to analyze the spending patterns of the potential customer.\u00a0 If you realize that any party is likely to defect a loan, you should never hesitate to decline the application!<\/li>\n<\/ul>\n<p><strong>Conclusion<\/strong><\/p>\n<p>Big data is a crucial tool in risk management since it helps in evaluating data from different sources. The approach enables your organization to monitor, detect, and mitigate all the risks that can affect the operations negatively.<\/p>\n<p>If your organization is yet to adopt the technique, then you should keenly read this article to get the benefits that you\u2019re missing.<\/p>\n<p><strong>Fuente:<\/strong>\u00a0<em><a href=\"https:\/\/bigdataanalyticsnews.com\/how-you-can-apply-big-data-to-risk-management\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/bigdataanalyticsnews.com<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>La adopci\u00f3n de un enfoque predictivo aumenta la precisi\u00f3n de las detecciones de amenazas. Como resultado, los mecanismos de mitigaci\u00f3n se ponen en marcha antes&hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[23,29],"tags":[],"_links":{"self":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/4217"}],"collection":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4217"}],"version-history":[{"count":0,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/4217\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4217"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4217"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}