The latest version of GTILT PLUS is 3.36, available as of June 2013. It includes the DMM2GTL utility, for quickly converting MDB files to GTL format.  Or you can still use our free file conversion service.
As of October 2012, GTILT PLUS imports data from the Measurand's ShapeAccelArray system in Atlas_3 format, see
It has an enhanced readings editor which displays a checksum plot against depth alongside the tabulated readings. It also provides a visual link between the tabulated readings, the checksum plot, and the corresponding interval on any of the plots against depth or elevation. For example, you can click on an anomaly on the checksum plot and see immediately which reading it corresponds to, as well as which depth interval it affects on the final plot.
It is also possible to view tabulated readings in terms of the change from an earlier dataset. This makes it easier to assess whether a plotted displacement represents a flawed reading or a real movement. A display of the median change in reading for each column of raw readings also makes it easier to evaluate whether the readings have been affected by bias shift, a common type of error.
In addition to the above, GTILT PLUS allows interactive corrections for bias shift and accelerometer rotation. GTILT PLUS also allows for depth corrections which can become necessary due to settlement, heave, cable stretch, length differences between cables, or readings taken  from the wrong reference point. GTILT PLUS also allows for correction due to casing spiral. Spiral is not to be confused with casing skew, which can be corrected for in any version of GTILT or GTILT PLUS.

With GTILT PLUS, you can compile and save a list of inclinometers which you wish to consider together. You control the order of the list, and you can use it to batch print any desired combination of plot types for all inclinometers on the list. This is especially useful if you routinely compile reports with large amounts of inclinometer data. You can also scroll rapidly through the listed inclinometers, making it easier to compare and interpret the data and reducing the need for hardcopy plots.