Products related to Data:
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Sustainable Life Insurance : Managing Risk Appetite for Insurance Savings and Retirement Products
Sustainable Life Insurance: Managing Risk Appetite for Insurance Savings and Retirement Products gives an overview of all relevant aspects of traditional and non-traditional savings and retirement products from both insurers’ and policyholders’ respective risk appetites.Examples of such products include general accounts, whole life, annuities (variable, fixed and fixed indexed, structured), index-linked products, CPPI-based products, etc. The book contains technical details associated with both practice and theory, specifically related to modelling, product design, investments and risk management challenges and solutions, tailored to both insurers’ and policyholders’ perspectives. FeaturesThe book offers not only theoretical background but also concrete, cutting-edge "quick wins" across strategic and operational business axes. It will be an asset for professionals in the insurance industry, and a great teaching/learning resource for courses in risk management, insurance modelling, and more. The book highlights the operational challenges encountered across modelling, product designs and hedging.
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The Digital Journey of Banking and Insurance, Volume III : Data Storage, Data Processing and Data Analysis
This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing.The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between.In the last volume of the series, “Data Storage, Processing and Analysis”, the shifts in the way we deal with data are addressed.
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Data Alchemy in the Insurance Industry : The Transformative Power of Big Data Analytics
Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry.This collected edition takes readers on a journey into the world of data-driven alchemy, where insurers turn vast amounts of information into valuable insights and innovations.By demystifying the complex realm of big data, Data Alchemy empowers insurance researchers and professionals to harness data effectively, create efficiencies, and achieve a competitive edge. This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape.Authors in this work offer a series of case studies featuring renowned insurance companies that have successfully harnessed data analytics for strategic gains.They discuss not only the technological facets but also regulatory concerns, ethical considerations, and the human element in data-driven insurance transformation.This work anticipates the future trends and challenges that will shape the insurance industry, providing insights into how data alchemy will continue to evolve and impact the sector. This collected edition is essential reading for data scientists, technologists, researchers in the field of big data analytics, as well as insurers who implement research findings.
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The Capitalized Retirement : How to Ensure You Won’t Outlive Your Savings
As someone who has been advising clients in the financial services industry since 1999, Matthew Johnson knows what he is talking about.For over two decades, Johnson has practiced the discipline of putting his clients first—a belief he inherited from his father who was also a financial advisor.Johnson knows how challenging the prospect of retirement can be for many individuals. And in The Capitalized Retirement he takes on the role of a personal advisor and walks readers through several practical ways they can maximize their retirement savings.The key is to switch from growth-oriented to income-oriented investment strategies. The number one fear most retirees face is whether they will have enough money saved for retirement.With the average life expectancy on the rise, retirees are now asking themselves this frightening question: Will I outlive my retirement?In The Capitalized Retirement Matthew Johnson shares practical insights from his several decades of experience as a financial advisor. Not only does Johnson walk readers through the basics of retirement investing, but he helps them identify the numerous pitfalls along the way.One of these includes the common myth that investing in the stock market is the only valid option for savvy investors.Based on his experience and understanding of the marketplace, Johnson helps readers understand why many financial planners do not always have their clients’ best interest at heart. And often, planners focus on incentives that might pad their own bank accounts at the expense of depleting the principals of investors. And in doing so, they’ve fallen prey to the “disease of ease” and do not have their investors’ best interests in mind. While the topic of retirement is overwhelming to many, Johnson takes on the role of personal advisor and walks readers through several practical ways they can reduce their risk and maximize their retirement "income"...the key to a stress-free retirement is having more income than you need.This book will show you how to protect your principal and make sure your principal is producing that income the right way!
Price: 24.99 £ | Shipping*: 3.99 £
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How is the data protection of the savings banks regulated?
The data protection of savings banks is regulated by various laws and regulations, including the General Data Protection Regulation (GDPR) in the European Union. Savings banks are required to comply with these regulations to ensure the protection of customers' personal data. Additionally, national data protection laws may also apply, depending on the country in which the savings bank operates. Savings banks are expected to implement appropriate security measures, data protection policies, and procedures to safeguard customer information and prevent unauthorized access or disclosure. Compliance with these regulations is monitored by data protection authorities, and savings banks may face penalties for non-compliance.
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How can one contribute to retirement savings?
One can contribute to retirement savings by setting up a retirement account such as a 401(k) or an Individual Retirement Account (IRA) and making regular contributions to it. It is also important to take advantage of any employer-sponsored retirement plans and contribute enough to receive any matching contributions. Additionally, one can increase their retirement savings by cutting back on unnecessary expenses and increasing their income through side hustles or investments. Regularly reviewing and adjusting one's retirement savings plan to ensure it aligns with their financial goals is also crucial.
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What is the insurance data statement for the employer?
The insurance data statement for the employer is a document that provides detailed information about the employer's insurance coverage, including the types of insurance policies held, coverage limits, and any additional information related to the insurance policies. This statement is important for the employer to have a clear understanding of their insurance coverage and to ensure that they have the appropriate level of protection for their business and employees. It also serves as a reference for the employer to review and update their insurance coverage as needed.
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Can the employer also request an insurance data extract?
Yes, an employer can request an insurance data extract from their insurance provider. This extract can include information such as the number of employees covered, the types of coverage provided, and the premium amounts paid. This data can be useful for the employer to track their insurance costs, ensure compliance with regulations, and make informed decisions about their insurance coverage. However, the employer should ensure that they have the necessary permissions and legal authority to request and access this data.
Similar search terms for Data:
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Investing Psychology Secrets: Sure-Fire, Data-Driven Strategies to Supercharge Your Trading Results
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Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse.These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion.This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons. In the process, James Serra, big data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features.You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality.Best of all, you'll be able to determine the most appropriate data architecture for your needs.By reading this book, you'll:Gain a working understanding of several data architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider
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Data Management at Scale : Modern Data Architecture with Data Mesh and Data Fabric
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable.Today's world is about quickly turning data into value.This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others.With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape.Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabricGo deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and moreExplore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
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Your Retirement Salary : How to use your lifetime of pension savings to pay yourself an income in your retirement
You have spent a few decades working, earning a salary from your employers, and saving into company and personal pensions along the way.Now, retirement is approaching. How will you turn your savings into a salary to pay for essentials and leisure time in retirement?How will you make sure that you don’t run out of money too soon?What do the UK pension freedoms mean for you? In this one-of-a-kind book, personal finance experts Richard Dyson and Richard Evans answer these questions and equip you with everything you need to know to turn your pension savings into an income that will last throughout your retirement. You will learn:-- How to take control of your pension savings by tracking down all of your pension pots and combining them. -- When you can afford to retire. -- Steps to take to avoid running out of money. -- How to build an income-paying portfolio of fund investments from scratch. -- How to withdraw a sustainable income from your portfolio. -- How annuities work and whether they have a role for you. -- How to make the most of the tax rules. -- The contribution made by the State Pension. -- When to seek professional advice.
Price: 14.99 £ | Shipping*: 3.99 £
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Would this retirement savings idea be a good one?
It's difficult to determine if a retirement savings idea is good without knowing the specific details of the idea. Factors such as the potential return on investment, associated fees, and level of risk should be considered. Additionally, it's important to assess how the idea aligns with your overall financial goals and risk tolerance. Consulting with a financial advisor can help you evaluate the potential benefits and drawbacks of the retirement savings idea.
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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