All language subtitles for 16. Power BI Demo Goal Pacing with Gauge Charts

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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

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