Presenters: Luiz Kauffmann, Diana Maris
Analytics and business rules are delivering powerful capabilities to augment and automate strategic and tactical decisions within customers’ lines of business. Analytically-driven decisioning is improving customer interactions in call centers and ensuring the most relevant next-best offers for personalization and customer experience. It is improving credit risk decisions, detecting fraud and reducing losses, automating the underwriting process, streamlining collections processes, and optimizing the supply chain to deliver goods and reduce loss in transit. In many of these use cases, customer data can be used in unfair and biased ways. Companies need to detect possible misuse and identify ways to evolve their decision making to prevent these risks from causing harm to their customers or stakeholders. SAS Intelligent Decisioning, SAS Model Manager and SAS Visual Analytics provide the necessary tools to identify, assess and resolve these risks quickly to ensure decisions and models are fair and unbiased to deliver the best outcome for customers and companies.
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