This study guide is for the IDMA 202 course in the IDMA Associate Insurance Data Manager (AIDM) designation program.
Master the business side of insurance data so you can price smarter, manage risk better, protect sensitive information, and turn data into a real competitive advantage. Explore why insurance is unlike other industries, where companies are selling a promise rather than a physical product, and discover how that difference drives an enormous need for trusted data, sound analysis, and disciplined decision making. Analyze how insurers use information across the full policy lifecycle, from application and underwriting through claims, renewal, and termination. Understand why data quality, accessibility, and timing matter so much when profitability, solvency, and compliance are on the line.
Apply practical insight to the core functions that keep insurance organizations running. Examine how underwriters, actuaries, claims professionals, accountants, marketers, and managers all depend on accurate, relevant, and well-governed information. Evaluate the many sources insurers use, including applications, inspections, government records, credit information, analytics, and emerging technologies, and see how each source can strengthen or weaken business judgment depending on its quality and context.
Assess the external factors that continually reshape insurance data needs, including regulation, legislation, competition, court decisions, demographics, climate patterns, privacy expectations, and technological change. Interpret the growing importance of personally identifiable information, cybersecurity, and professional standards in a world where insurers collect, share, and analyze vast volumes of sensitive data. Recognize how good data management supports not only compliance, but also trust.
Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge of data management can help you do your job better and help you prepare, understand, and protect the raw material—the data—so critical to your organization.
IDMA courses, workshops, and forums are highly recommended for a broad audience including new hires, IT and data modeling professionals who want to broaden their knowledge of the business side of insurance data management, anyone who manages and governs data in the industry (statistical, or management information data), and anyone who needs to use or communicate good quality data/information – from actuaries to underwriters, and claims and analytics professionals.
Students who complete the four IDMA-developed courses and successfully pass the examinations are awarded an Associate Insurance Data Manager (AIDM) designation. The IDMA courses may be taken in any order; there are no prerequisites. However, the courses are numbered to indicate a recommended sequence.
For details on the designation requirements, please refer to the IDMA Website at www.IDMA.org.
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Paperback. Zustand: new. Paperback. This study guide is for the IDMA 202 course in the IDMA Associate Insurance Data Manager (AIDM) designation program. Master the business side of insurance data so you can price smarter, manage risk better, protect sensitive information, and turn data into a real competitive advantage. Explore why insurance is unlike other industries, where companies are selling a promise rather than a physical product, and discover how that difference drives an enormous need for trusted data, sound analysis, and disciplined decision making. Analyze how insurers use information across the full policy lifecycle, from application and underwriting through claims, renewal, and termination. Understand why data quality, accessibility, and timing matter so much when profitability, solvency, and compliance are on the line.Apply practical insight to the core functions that keep insurance organizations running. Examine how underwriters, actuaries, claims professionals, accountants, marketers, and managers all depend on accurate, relevant, and well-governed information. Evaluate the many sources insurers use, including applications, inspections, government records, credit information, analytics, and emerging technologies, and see how each source can strengthen or weaken business judgment depending on its quality and context.Assess the external factors that continually reshape insurance data needs, including regulation, legislation, competition, court decisions, demographics, climate patterns, privacy expectations, and technological change. Interpret the growing importance of personally identifiable information, cybersecurity, and professional standards in a world where insurers collect, share, and analyze vast volumes of sensitive data. Recognize how good data management supports not only compliance, but also trust.Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge of data management can help you do your job better and help you prepare, understand, and protect the raw material-the data-so critical to your organization.IDMA courses, workshops, and forums are highly recommended for a broad audience including new hires, IT and data modeling professionals who want to broaden their knowledge of the business side of insurance data management, anyone who manages and governs data in the industry (statistical, or management information data), and anyone who needs to use or communicate good quality data/information - from actuaries to underwriters, and claims and analytics professionals.Students who complete the four IDMA-developed courses and successfully pass the examinations are awarded an Associate Insurance Data Manager (AIDM) designation. The IDMA courses may be taken in any order; there are no prerequisites. However, the courses are numbered to indicate a recommended sequence.For details on the designation requirements, please refer to the IDMA Website at This study guide is for the IDMA 202 course in the IDMA Associate Insurance Data Manager (AIDM) designation program. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798898161101
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