All language subtitles for 10. Power BI Demo Showing Key Metrics with Cards & KPI Visuals

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,620 --> 00:00:00,980 All right. 2 00:00:00,980 --> 00:00:03,080 Really excited about this next demo. 3 00:00:03,230 --> 00:00:08,830 And when I talk to you about cards and it doesn't sound that exciting but trust me it's pretty cool. 4 00:00:09,110 --> 00:00:12,500 So we've got three types of cards that you'll find in here. 5 00:00:12,500 --> 00:00:19,370 Single row or regular card looks like a one to three icon a multi-role card and my personal favorite 6 00:00:19,370 --> 00:00:20,940 the KPI card. 7 00:00:20,960 --> 00:00:28,240 So these are all great ways to draw a lot of attention to very big or very important numbers or KPI. 8 00:00:28,250 --> 00:00:30,080 Keep performance indicators. 9 00:00:30,230 --> 00:00:37,030 And let's start with our basic card and it's a very simple object requires one field input. 10 00:00:37,270 --> 00:00:37,890 OK. 11 00:00:38,030 --> 00:00:44,690 So let's go into sales and if her focus right now is on revenue go ahead and bring revenue into the 12 00:00:44,690 --> 00:00:46,120 fields box. 13 00:00:46,310 --> 00:00:47,090 And there you go. 14 00:00:47,210 --> 00:00:52,900 You have literally just created a card that's it one step and you're done. 15 00:00:52,910 --> 00:00:58,620 There aren't even really many formatting options for cards as well and give it a little background change 16 00:00:58,620 --> 00:00:59,510 the font. 17 00:00:59,510 --> 00:01:03,910 But for all intents and purposes that's it as far as cards are concerned. 18 00:01:03,950 --> 00:01:10,550 Now instead of deleting this and adding a new visual with the card selected I can change the visual 19 00:01:10,550 --> 00:01:13,190 type to a multi row card. 20 00:01:13,640 --> 00:01:16,780 And it changes the format that look and feel a little bit. 21 00:01:16,850 --> 00:01:24,880 And more importantly it now allows me to drag in additional fields like total orders for instance and 22 00:01:24,880 --> 00:01:26,690 kind of show them side by side. 23 00:01:26,950 --> 00:01:29,170 If you resize they'll stack differently. 24 00:01:29,470 --> 00:01:35,970 So again it's a nice way to just literally draw attention to individual numbers in your report. 25 00:01:36,190 --> 00:01:41,570 So cards and multi-role cards are fine and we'll use them in a couple of different cases. 26 00:01:41,680 --> 00:01:45,870 But in this lecture I really want to focus on K.P. eyes. 27 00:01:45,880 --> 00:01:47,450 So we're going to insert this KPI. 28 00:01:47,490 --> 00:01:50,310 Got the up Green Arrow and the down red arrow. 29 00:01:50,800 --> 00:01:56,770 And this is not only going to allow us to show the big important number but it's also going to integrate 30 00:01:56,800 --> 00:02:04,060 elements of trending and positive or negative performance all within the same view in a really nice 31 00:02:04,060 --> 00:02:06,160 clean visual way. 32 00:02:06,160 --> 00:02:08,330 So let me show you what I mean by that. 33 00:02:08,540 --> 00:02:13,790 We're going to focus on revenue as a key number here so I'm going to take total revenue. 34 00:02:14,120 --> 00:02:17,120 I'm going to drag it into the spiel that says indicator. 35 00:02:17,280 --> 00:02:17,920 OK. 36 00:02:18,250 --> 00:02:22,990 And it doesn't do anything just yet because the KPI card needs some more inputs. 37 00:02:23,050 --> 00:02:27,410 Fact it says right here it needs a value and a trend axis. 38 00:02:27,430 --> 00:02:29,570 So what does that mean by Trend access. 39 00:02:29,890 --> 00:02:35,260 Well it means that you care about total revenue but instead of just showing the overall total revenue 40 00:02:35,260 --> 00:02:40,960 number in which case you use a regular card what time period are we interested in. 41 00:02:41,170 --> 00:02:46,930 At what level do we want to show the trending performance and what current period do we want to be reflected 42 00:02:46,990 --> 00:02:48,340 in this card. 43 00:02:48,340 --> 00:02:54,670 So we're going to need a date related field to drill into our calendar and this will just determine 44 00:02:54,730 --> 00:03:00,010 the level of granularity that we want to show revenue trending within the card. 45 00:03:00,010 --> 00:03:04,950 Now I think month is probably a good level it's not too granular it's not too broad. 46 00:03:05,320 --> 00:03:11,110 So we're going to take start of month and drop it into the trend axis and check that out without even 47 00:03:11,110 --> 00:03:12,850 doing anything else. 48 00:03:12,850 --> 00:03:19,060 It's already given me a really insightful view here showing that revenue trend in the background over 49 00:03:19,060 --> 00:03:23,340 time month by month as well as the current month revenue total. 50 00:03:23,350 --> 00:03:25,790 Big and bold right in the center of that card. 51 00:03:25,810 --> 00:03:32,210 So remember that trend access not only determined that trending area in the background. 52 00:03:32,440 --> 00:03:38,590 It also determined what time period this number reflects And since we're trying at the monthly level 53 00:03:38,680 --> 00:03:45,010 this revenue shows current month and to validate that we can actually insert a matrix just for a little 54 00:03:45,010 --> 00:03:45,870 keyway. 55 00:03:46,090 --> 00:03:51,650 I actually find myself doing this kind of thing quite a bit and we can pull in total revenue to the 56 00:03:51,660 --> 00:03:59,780 values and that same start of month into our rows and remember how it kind of automatically creates 57 00:03:59,780 --> 00:04:03,980 that hierarchy just want start of month. 58 00:04:04,030 --> 00:04:04,690 And there you go. 59 00:04:04,690 --> 00:04:11,620 So you can see that the latest month drove 1.8 million dollars of revenue which is reflected here. 60 00:04:11,620 --> 00:04:13,450 So so far so good. 61 00:04:13,660 --> 00:04:17,270 But you'll notice that the KPI card takes one Morefield. 62 00:04:17,470 --> 00:04:19,390 It's optional but it takes it. 63 00:04:19,420 --> 00:04:21,340 It's called the target goals field. 64 00:04:21,520 --> 00:04:29,020 And what this will do is add one more layer of insight here and indicate whether this 1.8 3 million 65 00:04:29,200 --> 00:04:36,490 monthly revenue figure is good or bad and how we define good or bad is a function of whatever we use 66 00:04:36,490 --> 00:04:37,900 for the target goal. 67 00:04:37,900 --> 00:04:43,580 Now there are two options that I can think of off the top of my head that would be valid choices for 68 00:04:43,580 --> 00:04:45,160 a target goal. 69 00:04:45,360 --> 00:04:49,830 Number one is our revenue target that we actually defined. 70 00:04:49,930 --> 00:04:54,750 And if you recall looking at the DAX it's our previous month times 1.1. 71 00:04:54,750 --> 00:04:57,640 Basically a 10 percent lift over previous month. 72 00:04:57,960 --> 00:05:03,900 Now we're going to be using these targets for both orders and revenues on the product specific page 73 00:05:04,140 --> 00:05:05,190 a little bit later on. 74 00:05:05,190 --> 00:05:07,380 So I'm going to hold off on that one for now. 75 00:05:07,560 --> 00:05:14,430 And in this case for this KPI card what I'm going to use as my target goal is just the previous months 76 00:05:14,490 --> 00:05:15,650 revenue. 77 00:05:15,720 --> 00:05:21,960 So when we drag it in and drop it into Target we get that nice little check mark in all formats to a 78 00:05:21,960 --> 00:05:23,130 nice green. 79 00:05:23,130 --> 00:05:29,670 And it also shows me the value of that target goal which is previous month revenue 1.7 seven million 80 00:05:30,240 --> 00:05:34,150 which again we can confirm and validate here in our little matrix view. 81 00:05:34,320 --> 00:05:36,720 So that's a KPI card. 82 00:05:36,990 --> 00:05:43,590 Fantastic way to draw a lot of attention to the most important numbers for your business and since Adventure 83 00:05:43,590 --> 00:05:49,770 Works is very much interested in their revenue in order volume and in their returns. 84 00:05:49,920 --> 00:05:54,510 I think it makes sense for us to create cards to capture those three eyes. 85 00:05:54,630 --> 00:05:56,450 So no need to reinvent the wheel. 86 00:05:56,500 --> 00:05:57,610 Let's copy this one 87 00:06:00,380 --> 00:06:05,300 paste another version down here and instead of revenue we're going to basically go through the same 88 00:06:05,300 --> 00:06:13,690 process for total orders swap in orders instead of revenue instead of the target goal being previous 89 00:06:13,690 --> 00:06:14,690 month revenue. 90 00:06:14,770 --> 00:06:19,170 We want previous month orders and there you go. 91 00:06:19,530 --> 00:06:27,750 You can also put orders into our matrix to help QAD that field as well total orders. 92 00:06:28,380 --> 00:06:28,740 OK. 93 00:06:28,760 --> 00:06:33,250 So current month total orders 21 46 which is correct. 94 00:06:33,590 --> 00:06:39,520 And it's just barely down less than a percent compared to last month 21 65. 95 00:06:39,680 --> 00:06:44,370 So essentially flat but a little bit down month over month here. 96 00:06:44,810 --> 00:06:50,840 So now one more we're going to copy the order one paste it one more time and this time I want to show 97 00:06:50,960 --> 00:06:53,320 a KPI card for returns. 98 00:06:53,480 --> 00:06:59,300 So you know the drill at this point we're going to go into our returns table this time grabber total 99 00:06:59,300 --> 00:07:02,160 returns swap him in for total orders. 100 00:07:02,480 --> 00:07:07,350 Get rid of the order target and pull in previous month returns. 101 00:07:08,380 --> 00:07:13,400 Now wait we've got fewer returns and it's formatting read as if that's a bad thing. 102 00:07:13,660 --> 00:07:16,270 And the fact is fewer returns is good. 103 00:07:16,270 --> 00:07:20,340 We want to see it dropped in returns month over month. 104 00:07:20,390 --> 00:07:21,580 So no fear. 105 00:07:21,610 --> 00:07:26,720 There's actually a very easy way to change that and that's to go right and or formatting options. 106 00:07:27,590 --> 00:07:30,240 Color coding direction. 107 00:07:30,620 --> 00:07:32,730 So you know it says High is good. 108 00:07:32,730 --> 00:07:34,810 Just change it right to low is good. 109 00:07:35,130 --> 00:07:38,930 And now if it's a drop month over month that's a good trend. 110 00:07:39,120 --> 00:07:45,390 So there you go now you've got KPI cards for revenue for orders for returns. 111 00:07:45,540 --> 00:07:48,070 We can go ahead and get rid of our matrix here. 112 00:07:48,540 --> 00:07:50,690 And last thing probably should have done this first. 113 00:07:50,700 --> 00:07:55,530 Let's go ahead and just change the titles here instead of this word. 114 00:07:55,560 --> 00:07:57,890 Total revenue and previous month revenue. 115 00:07:58,290 --> 00:08:08,350 Let's just call this monthly revenue let's name this one monthly orders 116 00:08:11,200 --> 00:08:22,020 and finally monthly returns and the final step is just to arrange things in a way that looks nice. 117 00:08:22,030 --> 00:08:30,030 I think in this case try to create some room here and I really want to focus on revenue as the number 118 00:08:30,030 --> 00:08:33,070 one most important KPI. 119 00:08:33,330 --> 00:08:37,470 So I want this one to be kind of larger and then and maybe we put orders 120 00:08:40,600 --> 00:08:46,930 appear in the top right and returns in here and I'm obviously squishing things in because we've got 121 00:08:47,560 --> 00:08:51,500 more visuals that we'll be adding shortly. 122 00:08:51,700 --> 00:09:02,640 And again you can kind of justice as you see fit but for now I think something like this will do just 123 00:09:02,640 --> 00:09:03,420 fine. 124 00:09:03,750 --> 00:09:04,380 So there you go. 125 00:09:04,380 --> 00:09:10,380 We've created this pretty simple yet pretty impactful way to show the most important business metrics 126 00:09:10,700 --> 00:09:15,330 for venture works revenue returns and orders. 127 00:09:15,330 --> 00:09:16,190 So there you go. 128 00:09:16,200 --> 00:09:23,010 Great demo of how to use KPI cards with goals to draw attention to the most important metrics for the 129 00:09:23,010 --> 00:09:23,940 business. 12810

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.