Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
1
00:00:00,560 --> 00:00:03,890
All right I've got one more specific visual demo for you.
2
00:00:04,040 --> 00:00:05,920
And I've saved the fun one for last.
3
00:00:06,030 --> 00:00:12,270
We're in talk about Gaige charts so you can find the gauges right here underneath the pie and we can
4
00:00:12,270 --> 00:00:14,240
drop one onto our canvas.
5
00:00:14,370 --> 00:00:15,990
We need to make a little bit of room for it.
6
00:00:15,990 --> 00:00:24,420
So let's go ahead and just shrink down our returns view and our trend at profit view to make some room
7
00:00:24,420 --> 00:00:26,490
for these gauges at the top of the page.
8
00:00:27,620 --> 00:00:28,650
It looks good.
9
00:00:28,720 --> 00:00:36,240
Now essentially what I want to do is use the gauge to provide a quick visual indicator of pacing towards
10
00:00:36,240 --> 00:00:37,260
our targets.
11
00:00:37,440 --> 00:00:44,070
And remember we defined order targets and revenue targets as 10 percent lifts over the previous month
12
00:00:44,410 --> 00:00:48,270
and we did that using time intelligence functions in daks.
13
00:00:48,270 --> 00:00:55,590
So for first gauge Let's call this our total orders Gaige will hop into our sales table grab total orders
14
00:00:56,130 --> 00:01:02,370
and drop it into the first field which is the Ballis field and you'll see a few things happen here populated
15
00:01:02,370 --> 00:01:04,870
the total value 23000.
16
00:01:04,890 --> 00:01:13,350
Again no other filter context yet aside from our report level filter of 2016 or 2017 and what it's done
17
00:01:13,350 --> 00:01:20,490
is default to a minimum of 0 maximum of about twice the current total so that it defaults to a half
18
00:01:20,490 --> 00:01:21,600
filled gauge.
19
00:01:21,710 --> 00:01:24,480
Now there are a couple of tweaks I'd like to make here.
20
00:01:24,510 --> 00:01:32,040
Number one I want this gauge to always show monthly performance for the current month because our targets
21
00:01:32,100 --> 00:01:35,100
or goals are defined at the monthly level.
22
00:01:35,180 --> 00:01:39,240
And I want to provide a recent view of performance not just the grand total.
23
00:01:39,240 --> 00:01:44,190
So to do that we're going to work with our visual level filters here and we're going to need a field
24
00:01:44,190 --> 00:01:47,380
from our calendar look up in this case monthly.
25
00:01:47,520 --> 00:01:52,090
So I'll take the start of the Month field and drag it right in here.
26
00:01:52,090 --> 00:01:58,810
Now I've got a couple of options here because the data that we're working with at this point is fixed.
27
00:01:58,890 --> 00:02:06,090
We could simply select June first month of June and update our gauge to the latest month that way.
28
00:02:06,090 --> 00:02:08,370
Problem is we need to get smarter about this.
29
00:02:08,400 --> 00:02:11,230
We need a flexible solution that will scale.
30
00:02:11,250 --> 00:02:17,430
If we end up adding more data over time if Adventure Works for instance start sending US sales or returns
31
00:02:17,430 --> 00:02:23,970
data each week or each month and expects new reports then this basic filter just isn't going to cut
32
00:02:23,970 --> 00:02:29,220
it because we're going to pull in July data and it will still filter to June because we've fixed the
33
00:02:29,220 --> 00:02:30,560
filter in that way.
34
00:02:30,570 --> 00:02:37,770
So what we need is a better solution like top end and what we're going to do here is show the top 1
35
00:02:37,920 --> 00:02:45,090
item and that item is going to be the start of the month and because it's a date field to RBI gives
36
00:02:45,090 --> 00:02:47,480
us these earliest or latest options.
37
00:02:47,730 --> 00:02:50,960
So we want the top 1 latest month.
38
00:02:51,150 --> 00:02:55,980
And when we apply we see the same value which is exactly what we want.
39
00:02:55,990 --> 00:02:59,380
June is the correct value because it's the current month set.
40
00:02:59,380 --> 00:03:05,660
Now our solution is more scalable and more flexible by using that top and filter instead.
41
00:03:05,710 --> 00:03:07,210
So that works for our filter.
42
00:03:07,210 --> 00:03:08,340
We're good to go there.
43
00:03:09,100 --> 00:03:14,220
Next step we need to provide context because right now this gauge is meaningless.
44
00:03:14,230 --> 00:03:18,620
We could simply have a card showing this number and it would accomplish the exact same thing.
45
00:03:18,700 --> 00:03:25,180
So the beauty of gaged charts kind of like keep cards is that they accept interesting values like dynamic
46
00:03:25,180 --> 00:03:28,360
minimums or maximums and target values.
47
00:03:28,540 --> 00:03:35,350
So let's go ahead and grab our target order target daks measure and you'll see that calculation right
48
00:03:35,350 --> 00:03:38,510
here previous month orders times 1.1.
49
00:03:38,640 --> 00:03:42,840
And let's drag that into the target value field here.
50
00:03:42,840 --> 00:03:50,100
And now what that does is it creates this indicator with the target which in this case is 2380 to telling
51
00:03:50,100 --> 00:03:54,150
us that we are slightly behind target overall for the current month.
52
00:03:54,150 --> 00:03:59,970
Now there's another option that works pretty well here too which is to take that target that order target
53
00:04:00,450 --> 00:04:02,590
and move it to the maximum value.
54
00:04:02,880 --> 00:04:08,490
That way the gauge fills up until it hits the goal or the target value.
55
00:04:08,490 --> 00:04:13,530
So if you have a partially filled Gaige it means you haven't reached your tarty yet.
56
00:04:13,530 --> 00:04:19,680
So I think this is actually a bit more intuitive but again this is completely up to you if you prefer
57
00:04:19,920 --> 00:04:23,610
to see that order target in this format that's fine.
58
00:04:23,610 --> 00:04:25,140
I think both look nice.
59
00:04:25,140 --> 00:04:29,540
I'm going to keep mine on maximum value and let's just resize this a little bit.
60
00:04:32,000 --> 00:04:32,920
That looks good.
61
00:04:33,110 --> 00:04:34,550
And update the title
62
00:04:37,320 --> 00:04:47,420
and let's make this a bit more descriptive to something like current month orders versus target.
63
00:04:47,460 --> 00:04:48,190
Here we go.
64
00:04:48,240 --> 00:04:55,890
And if we want to be consistent with our exact summary we could do something like this would go and
65
00:04:55,890 --> 00:04:58,780
center at beautiful.
66
00:04:59,220 --> 00:05:02,260
So there a total monthly orders gauge.
67
00:05:02,370 --> 00:05:07,070
We can go ahead and take that copy and paste it two more times.
68
00:05:08,260 --> 00:05:13,020
Because we're going to do one more for revenue and then a third for returns.
69
00:05:13,060 --> 00:05:17,920
So let's work on our second one here and we're just going to swap in and out the values.
70
00:05:17,920 --> 00:05:23,840
So our filter can still stay exactly as is actually collapse or calendar.
71
00:05:24,280 --> 00:05:33,930
And in this case we don't want orders and or target we want revenue and the revenue target so we swapped
72
00:05:33,920 --> 00:05:34,800
them out.
73
00:05:34,860 --> 00:05:43,440
In this case current month got 1.3 million in revenue against target of 1.9 5s coming in just under.
74
00:05:43,760 --> 00:05:46,310
And we can change the title as well.
75
00:05:48,770 --> 00:05:55,650
To current month set of orders current month revenue versus target.
76
00:05:55,820 --> 00:05:56,980
Our last gauge here.
77
00:05:57,020 --> 00:06:04,040
We're going to show returns and our fields drill into our returns table grab total returns instead of
78
00:06:04,040 --> 00:06:05,200
total orders.
79
00:06:05,510 --> 00:06:08,770
And now remember we don't have a return target.
80
00:06:08,900 --> 00:06:14,070
So in this case let's just use the previous month return as our maximum value.
81
00:06:14,270 --> 00:06:19,780
And because this is a negative metric I want to call that out and make that explicitly clear.
82
00:06:20,090 --> 00:06:28,470
Using some color consistency means change the data color area and just the title here as well.
83
00:06:29,940 --> 00:06:42,350
To current month returns and not versus target as versus previous month and there we go.
8695
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.