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As noted earlier, BigMachines had a 40 percent growth rate in staff in 2008 as this implementation was going full blast But for the most part they had to utilize their own existing operationally knowledgeable staff to set up new processes and customer migration plans Because that staff had a lot of other things to do, it was something of a challenge But fortunately for them, some of that 40 percent growth was for customer service and that allowed them to execute the transformation smoothly One reason is that they had a culture that would support the kind of transition they were attempting Their company s philosophy and mission was Customer Success Is Our Success This notion permeates the company from top to bottom in a practical way so that it continuously reinforced and aligned employee expectations around the objectives of the implementation Employees understood that one of the benefits of the implementation would be a set of real-time, granular metrics that would help drive the success of BigMachines customers so that the acceptance of the transformation would go smoothly This kind of culture naturally encouraged cross-functional teams that draw on particular strengths in all departments as needed Consequently, because the teams were already up and running, no new teams or task forces were created to handle the implementation This minimized the politics and departmental concerns that often cripple CRM implementations

The messages were consistent throughout the company too BigMachines customers would benefit This was seen as a major plus for the implementation

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The rst part of the de nition means that in any legal instance, the values in the key elds uniquely identify a tuple in the instance When specifying a key constraint, the DBA or user must be sure that this constraint will not prevent them from storing a correct set of tuples (A similar comment applies to the speci cation of other kinds of ICs as well) The notion of correctness here depends upon the nature of the data being stored For example, several students may have the same name, although each student has a unique student id If the name eld is declared to be a key, the DBMS will not allow the Students relation to contain two tuples describing di erent students with the same name! The second part of the de nition means, for example, that the set of elds {sid, name} is not a key for Students, because this set properly contains the key {sid} The set {sid, name} is an example of a superkey, which is a set of elds that contains a key Look again at the instance of the Students relation in Figure 31 Observe that two di erent rows always have di erent sid values; sid is a key and uniquely identi es a tuple However, this does not hold for nonkey elds For example, the relation contains two rows with Smith in the name eld Note that every relation is guaranteed to have a key Since a relation is a set of tuples, the set of all elds is always a superkey If other constraints hold, some subset of the elds may form a key, but if not, the set of all elds is a key A relation may have several candidate keys For example, the login and age elds of the Students relation may, taken together, also identify students uniquely That is, {login, age} is also a key It may seem that login is a key, since no two rows in the example instance have the same login value However, the key must identify tuples uniquely in all possible legal instances of the relation By stating that {login, age} is a key, the user is declaring that two students may have the same login or age, but not both Out of all the available candidate keys, a database designer can identify a primary key Intuitively, a tuple can be referred to from elsewhere in the database by storing the values of its primary key elds For example, we can refer to a Students tuple by storing its sid value As a consequence of referring to student tuples in this manner, tuples are frequently accessed by specifying their sid value In principle, we can use any key, not just the primary key, to refer to a tuple However, using the primary key is preferable because it is what the DBMS expects this is the signi cance of designating a particular candidate key as a primary key and optimizes for For example, the DBMS may create an index with the primary key elds as the search key, to make the retrieval of a tuple given its primary key value e cient The idea of referring to a tuple is developed further in the next section.

Pretty amazing so far, isn t it Hoping that yours will go so well, aren t you Of course, there has to be a result that was worth the effort There was and is

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