Kommentarübersicht

Auf den Seiten der Kommentarübersicht werden alle öffentlichen Kommentare zur aktuellen Version der IBCS®-Standards in chronologischer Reihenfolge aufgeführt (englisch).


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Hi Rolf, 

I totally agree we need more practical examples/ templates to make IBCS less theoretical therefore broaden the audience. 

The core idea of the promote using vertical lines (e.g. dashed/ light-grey) as a tool to mark beginning and end dates of a timeseries. 

(e.g. Fund performance since circulation until today)  

the advantage of this is that we have x-axis with less detailed steps (e.g. years or quarters except of days) but still have the two very important dates directly displayed in the chart. 

fiddling around with the visualization of performance charts I had to figure out that most people preferred the version with vertical lines with the start and end date of the interval even if it is a redundant information. 

 

 

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Hi Gunnar,

the solid line is just your  AC series,  e.g. a performance

the vertical dashed lines are the interval borders which represent

the start and end date of the plotted performance. (these dates should also been found in the title)

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Rolf Hichert

Suggestion for change
New visualisation for outliers:

Jürgen and I suggest to change the outlier chapter UN 5.3 in the next version of the standards.

At present we say:
“Omit the pin head and add outlier triangles pointing in the direction of growth, see Figure UN 5.3.”

We should agree on this minor change:

a) The standard outlier indicator is one triangle only (see in our new book “Solid, outlined…” on page 88, figure 2.4-10)

b) If we want to differentiate outliers with different orders of magnitude (e.g. >50%, >100%, >150%) we could use one, two or three triangles.

 

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Rolf Hichert

Here the standards are pretty clear:

1
Never truncate the visualisation (bars, columns…) of absolute values.

2
You might truncate the visualisation (pins, not bars!) of relative values as explained above: “If such an outlier is not important for business, e.g. a big relative variance of a small value, do not scale the whole chart to this outlier rather visualize unimportant outliers with outlier indicators.”

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Rolf Hichert

Hi, Jens –
Yes, the comment function seems to work… 😊

It seems to me that most people did not understand exactly what your proposal was – at least I didn’t.
Let me first give you some background information – and then we can discuss:

I have started with these chart and table “templates” together with Holger Gerths in our Excel trainings more around 15(!) years ago. They are NOT part of the “standards” – although we used figures for demonstration purposes such as the figures CO 5.1-1, CO 5.2-1 and UN 2.3-5. Some details are not valid any more – other details might become valid in future versions. At the moment, we use these templates for the certification of software tools – and here we cannot demand 100% compatibility.
It would be great to have these and even more templates be part of the standards; this would make the many rules much more easier to understand – especially for beginners. So Jürgen and I tried to update these old templates in our new book; the templates on the pages 190..205 should be pixel perfect. But they are not – although we have spent very many hours on each of them to make them consistent. Some alert readers already have come up with first little mistakes…
Now coming back to template 07A (which corresponds page 194 in our book):
a) the lines have round markers to identify beginning and end of each month – plus the last trading day (2015-05-21).
(There is no detailed rule yet concerning the shape of these markers.)
b) vertical solid lines mark beginning and end of each month, a dotted line marks the last trading day (or any other non-month-end day).
c) two solid triangles highlight the two dates mentioned in the message.
d) two more markers highlight the 100% and the difference mentioned in the message.
e) there are tick marks at the beginning and end of the months – not at the last trading day.

When you look at a)..e): What would you like to change or add?

Sorry for the details – but I hope that we can soon come up with a solution to your inquiry of September 2018… 🙂

Rolf

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juergenfaisst

More scenarios of one type

As an update to Rolf’s comment on Januar 23, 2018, here is what we finally suggest in our book “Solid | Outlined | Hatched”:

1
Time scenarios
Previous time periods such as the previous year (PY) or the year before previous year (PPY) are shown lighter in comparison. This principle applied to scenario type actual data looks like this:

2
Update scenarios
The more concrete the scenario is for a period, the “denser” the pattern will be.

This principle applied to scenario type forecast data means that the more concrete the forecast is for a period, the “denser” the hatching will be. Let FC1 be the first forecast of the year, for example from the beginning of April for the remaining months of May to December. FC2 is the second forecast of the year, for example from the beginning of July, FC3 from the beginning of October:

This principle applied to scenario type plan data means the more concrete the plan is, the “denser” the frame will be. The strategic plan for 2019 (SP’19) was drawn up in 2016, the three-year plan (PL’19) in 2017 and the budget for 2019 (BU’19) finally in October 2018:

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Holger Gerhards

Please find enclosed the result of the workgroup “Sementic noatation for more scenarios per scenario type”

The workgroup has dealt concretely with the following questions:
– Which different scenarios do exist in the reporting world?
– How can these be combines an visualized?

The essential prinviple in teh development was to create a self-contained an uniform notation framework in which any number of scenarios can bei combines an scaled.

We have defined three different scenarios for further detailing AC, PL and FC data:
– Time gradations – Data have different timeliness
– Versions – Data have different statuses
– Variants – Data have a different calculation basis

These scenarios are described below and rules for their visualization are defined. In general, these rules can be applied to the comparison of data as well as to deviations.

You will find the complete discussion paper in the next comment.

We look forward to your comments and a fruitful discussion!
Holger, Jens & Sina

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