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Titlebook: Databases for Small Business; Essentials of Databa Anna Manning Book 2015 Anna Manning 2015 database management.database design.data captur

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樓主: deliberate
51#
發(fā)表于 2025-3-30 09:59:34 | 只看該作者
Peter Gailhofer,Cara-Sophie Scherfo know how it affects your business, how to comply, and how to incorporate any requirements into your business policies. In addition, data breaches can result in other expenses, such as reimbursement to customers and data recovery costs.
52#
發(fā)表于 2025-3-30 13:47:17 | 只看該作者
53#
發(fā)表于 2025-3-30 19:27:28 | 只看該作者
Postreform II — und wie geht es weiter?es backing up your database, compacting the database, and protecting the data. There are overlaps between this chapter and data cleansing, which is discussed in .. This chapter discusses the jobs that you need to carry out on a regular basis.
54#
發(fā)表于 2025-3-30 21:38:45 | 只看該作者
55#
發(fā)表于 2025-3-31 04:38:08 | 只看該作者
A Small Law Firm: Case Study,rowing numbers of staff and the adoption of new technology. Marketing plays a central role in the firm, being fundamental to its growth and success. Databases have the potential to play a key role in its marketing policy and in many other aspects of the business. However, as you’ll see, many tasks o
56#
發(fā)表于 2025-3-31 06:30:05 | 只看該作者
57#
發(fā)表于 2025-3-31 11:09:56 | 只看該作者
Aligning Your Database With the Goals of Your Small Business,ummary, goals aim to move the business in a given direction, levers are variables that can be changed with the intention of bringing about such a move, and metrics measure the progress of the goals and the levers. This chapter explains these three components in detail.
58#
發(fā)表于 2025-3-31 14:22:54 | 只看該作者
59#
發(fā)表于 2025-3-31 18:35:53 | 只看該作者
Collecting Your Data,ly and quickly. . covered setting business goals, levers, and metrics. . addressed database design, with business goals very much in mind. This chapter introduces data collection and explains a number of methods for doing it.
60#
發(fā)表于 2025-4-1 00:36:16 | 只看該作者
Cleansing Your Data,icient data cleansing is essential in order to be able to come to accurate conclusions from data analysis. In addition, one of the principles of the Data Protection Act (described in .) is to ensure that your data is accurate and, when necessary, is up to date.
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