By David Loshin
Vast info Analytics will support managers in offering an outline of the drivers for introducing vast facts expertise into the association and for figuring out the kinds of industrial difficulties most fitted to special information analytics recommendations, figuring out the price drivers and advantages, strategic making plans, constructing a pilot, and at last making plans to combine again into construction in the enterprise.
* publications the reader in assessing the possibilities and price proposition
* review of huge facts and software program architectures
* offers various applied sciences and the way they healthy into the large information ecosystem
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Extra resources for Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
CHAPTER 3 Incorporating Various Sources of Data and Information 39 Demographic Data Business Objectives Demographic data has many uses. It can be used, for example, for market studies to launch a new product or service, or a business can relate the data to its own cus tomer and business data. An example of a specific business objective would be to gain market presence in a new geographical region by evaluating a product for medium income families with more than three children. Another example would be to identify residential areas with a high concentration of commuters who have to travel more than 30 miles to reach their workplaces.
2000. ” Proceedings Data Mining 2000, pp. : WIT Press. gov. This website lists the principal United States, European, and international economic indicators. All CHAPTER l l l l l l l l l l l 3 Incorporating Various Sources of Data and Information 43 industrialized countries have some equivalent of the National Statistics Institute available online. International organizations such as the OECD also provide overall outlooks on a worldwide level. org. City, state, and chamber of commerce websites also have pertinent information at a local level.
Chapter 5 goes into more detail about these considerations. 7 shows a sample of the data collected from a perfume chain store’s customer card application form. The majority of the fields contain data about the applicant and only one field (skin type) is specifically related to the product. The data types are textual, date, and categories. The name and surname are together in the same text field, which might make address formatting more difficult for mailings. Clearly, since the business sells perfume, the majority of its customers are probably female; hence, no gender field is included in the data.