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points to the fact that in most firms 100% of value is concentrated in less than 50% of the capital employed13 That means companies need to root out and eliminate the invested capital that isn t producing positive EP and focus their efforts on the 50% that is This principle is ubiquitous and represents a profit opportunity A leading mortgage provider recently told us that out of 100 mortgage products offered, 5% constituted 90% of the value; another study estimated that in retail banking, the profit generated by the best 20% of customers is harmed by those that destroy value so profits could actually be higher if banks focused on the 20%14 As discussed in 1, Capital One, which outperforms its competitors and has conquered complexity, understands this principle well Long before anyone else, the firm understood that some customers were more profitable than others based on their consumption behavior and risk profile Another example, from a construction equipment manufacturer, is shown in Figure 4615

In most cases this causes a reduction of processing speed by several factors If cblock > r, it becomes reasonable to assume a random delay based on search and latency with an average value c + r for every block, so that t = B c+r if c Bfr > r 2-24

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The use of more bu ers to hold more blocks in memory will, within the limits imposed by the computation time c, allow for a short time bulk-transfer rates higher than as shown in Eq 2-24 Eventually all bu ers will be lled and le reading will have to stop As long as su cient bu ers are available, the rate of sequential reading or writing is then constrained by two factors, computation and device speed (see Eq 2-14), t = min R R ,t c R+W limit 2-25

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The purpose of bu ering is to achieve this minimum The assumption of unlimited bu ers is rarely true but the having more than two bu ers will even out the e ects of computation times that vary, but that on the average are c (R + W )/t or smaller Irregular computation can be caused in multiprogrammed systems by competing computations The requirement for two bu ers becomes essential when blocks containing spanned records are to be processed, as discussed in Sec 2-2-4 We assume that blocks involved in spanning are always sequentially allocated Double bu ering is also bene cial when records are read serially that are not sequential The reading time for a record will now be longer, s + r + btt, and the permissible computation time c will be greater It is then easier to completly hide the cost of computation in the disk access and transfer time Condition for continuous random processing c < s + r + btt 2-26

Figure 46: What Offerings Contribute to Earnings This chart illustrates how the majority of profits at a construction

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2-3-5 Allocation for Sequential Processing In many data-processing applications entire les have to be read periodically Typical of such processing are daily account balancing, weekly preparation of payrolls, or extraction of data subsets for further analysis Bu ering provides the most important tool to improve sequential performance We will present here three techniques that are used to further improve sequential processing In the analyses of Chap 3 we assume that these techniques were

Interleaving of Blocks Sometimes a processor cannot process the blocks in time, violating the constraint of Eq 2-22 that cblock < (B + G)/t Such a violation occurs frequently on personal computers, because often they cannot overlap computation, c, and disk transfer time, btt Another cause can be insu cient memory, so that only one bu er is being used The solution is to obtain time for computation by skipping alternate blocks This solution requires that blocks to be read logically in sequential order are interleaved on the physical disk Where data is often read sequentially, use of interleaving avoids paying the full latency cost, 2r, to read successive blocks By changing the relative addressing algorithm to arrange serial blocks on a track in an alternating pattern, time for interblock processing can be gained Figure 2-15 illustrates the method with an interleave factor , if , of two The number of blocks being skipped is adjusted to provide good sequential performance The interblock processing time obtained is (if 1)(B + G)/t, so that the time to transfer and process one data block is btt + (if 1)(B + G)/t if (B + G)/t The bulk transfer rate for this arrangement, using an interleaving factor, if , is then

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C-10

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