Use custom index mappings when the standard polarity choices of high values are good or high values are bad are insufficient for a particular measure. For example, use index mappings for measures where a range of values around a target is desired and deviation in either direction from that range is undesirable.
To use index mappings, take the initial calculated index (0–200) based on measure polarity and map it to a new index value. Choose to create index mappings that are valid beyond the 0–200 range, to a maximum range of 9899–9999.
The index ranges are always determined by the database configuration settings. By mapping the default settings, you can generate the correct index values and colors for measures where high values are bad and low values are bad.
A number of default index mappings are available. All default mappings assume the polarity High Values are Good to work as described:
Bipolar Smooth–100 optimum: Original index values from 0 to 200 are mapped from 100 down to 0 in both directions from an optimal value of 100. The mapped index value of 100 occurs at the original index value of 100%, as shown in Figure 4‑5. Mapped index values are continuous.
Figure 4‑5 Bipolar Smooth–100 optimum index mapping
Bipolar Smooth–200 optimum: Original index values from 0 to 200 are mapped from 200 down to 0 in both directions from an optimal value of 100. The mapped index value of 100 occurs at the original index value of 100%, as shown in Figure 4‑6. Mapped index values are continuous.
Figure 4‑6 Bipolar Smooth–200 optimum index mapping
Bipolar Stepped–100 optimum: Original index values from 0 to 200 are mapped from 200 down to 0 in both directions from an optimal value of 100.
The mapped index value of 100 occurs at the original index value of 100%, as shown in Figure 4‑7. This mapping uses stepped values instead of a continuous scale.
Figure 4‑7 Bipolar Stepped–100 optimum index mapping
Bipolar Stepped–200 optimum: Original index values from 0 to 200 are mapped from 200 down to 0 in both directions from an optimal value of 200. The mapped index value of 100 occurs at the original index value of 100%, as shown in Figure 4‑8. This mapping uses stepped values instead of a continuous scale.
Figure 4‑8 Bipolar Stepped–200 optimum index mapping
High Values are Good—Stepped: Similar to the standard High Values Are Good polarity. This mapping uses stepped values instead of a continuous scale, as shown in Figure 4‑9.
Figure 4‑9 High Values are Good—Stepped
High Values are Bad—Stepped: Similar to the standard High Values Are Bad polarity. This mapping uses stepped values instead of a continuous scale, as shown in Figure 4‑10.
Bipolar Smooth–100 optimum: Original index values from 0 to 200 are mapped from 100 down to 0 in both directions from an optimal value of 100. The mapped index value of 100 occurs at the original index value of 100%, as shown in Figure 4‑5. Mapped index values are continuous.
