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Part of the social security system is a government-sponsored health care program called Medicare Medicare provides a valuable service for senior citizens, and others who qualify, who may not otherwise be able to afford the health care they need Medicare, though, should not be confused with Medicaid Most people believe that these programs are the same thing, but they re not Medicare is a federally sponsored and funded program, whereas Medicaid is a state-sponsored program Medicaid is more of a welfare health care system, designed to help those with low income and little to no resources Medicare can be a very complex subject, but it s vital that you understand its benefits and drawbacks because by the time you will be eligible for coverage, you may find that paying the normal premiums for other, private health insurance is difficult Or you may not even be insurable anymore under private health plans With Americans living longer than they ever have, we ve seen an increase in the type and frequency of health care needed Medicare helps provide seniors

Other reasons why the value of a data warehouse increases over time include the following: Storage and processing costs decline each year Historical data becomes more valuable as the amount available increases Metadata becomes more complete and useful Use of a data warehouse becomes more widespread as users discover its value Users become more skilled at extracting useful information with experience Software tools that build and access data continually improve Additional data sources are often added to the warehouse

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With such an overwhelming list of advantages, it is easy to wonder why every organization does not already have a data warehouse The main reason is that historically, the creation of a proper data warehouse was an expensive, timeconsuming, and expert-intensive process In spite of this, thousands of organizations, including the majority of the most successful businesses in the world, have found it to be worth the effort Fortunately, much of the pioneering work has been done Those starting their deployments today face a clearer path to success and a broad array of proven tools and techniques to help Data warehousing is now becoming available to ordinary organizations without the vast IT resources of the giants Its acceptance is being accelerated by the availability of prebuilt data warehouse solutions It should therefore be no surprise that BI is one of the fastest growing segments of the IT industry For those that do not yet have one, a BI system based on a data warehouse can seem like an unnecessary luxury Once in place, though, a properly built one almost instantly becomes an indispensable management tool There are many reasons why the case for building BI solutions around a data warehouse is now so compelling: Easier access Data warehouses are specifically designed to facilitate access, especially by individuals who are not IT professionals Removes conflict When BI solutions connect directly to source data, they require trade-offs that leave everyone unhappy Those trade-offs are almost always resolved in favor of maximizing the efficiency of the transaction systems The result is that those who want better analysis and reporting get less than they need

Less report maintenance When reports are created using a well-designed data warehouse, they do not need to be modified when a new release of the underlying transaction system is deployed The savings that result from this benefit alone can justify having a data warehouse Unlocks the potential of BI tools With a data warehouse, powerful new functions such as dashboards become practical Sophisticated analytical applications can be implemented End-user generation of reports and analysis finally becomes a reality Access to more comprehensive data A data warehouse can contain information that is impractical to keep within a transaction system s database This includes historical data and information obtained from other sources for which the transaction systems have no need It also includes metadata information about the data itself, such as when and how it was obtained, who should be allowed to see it, assumptions behind it, and how it has been formatted Consistency and accuracy When everyone who analyzes information uses a single source whose accuracy has been verified, it reduces the need to argue over whose information is valid Organizations without data warehouses generally have long, wasteful debates about erroneous or misinterpreted data Security and backup It is easier to limit and control access to a data warehouse to those who need it than to do so with operational databases The data in the warehouse also provides a secondary level of backup in case of disaster

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