Видеословарь
Искать видео по слову
Все слова
Войти
analytics
Искать
X
analytics
искусство анализа, использование метода анализа
|ˌæn(ə)'lɪtɪks|
Предыдущее
Следующее
показать все...
1. and I also use Google
Analytics
by Yoast.
2. but, the point being, your BI and
analytics
tool,
3. in the data
analytics
problem
4. if you're set on using Google
Analytics
.
5. you go to google.com/
analytics
,
6. of understanding the importance of data and
analytics
.
7. It's actually the other way although youtube
analytics
are not just for this all. That's true
8. and
analytics
and data science really as the bumpers,
9. all I do is download the Google
Analytics
by Yoast
10. If you've already got an
Analytics
account,
11. more effectively across the entire
analytics
life cycle.
12. data science and the
analytics
side.
13. company had made in the video production services using our
analytics
. We
14. in your existing Google
Analytics
account
15. which you go to google.com/
analytics
to create,
16. on the Yoast Google
Analytics
.
17. and then how you can use Google
Analytics
18. this is the nature of self-service
analytics
,
19. It's the IBM
analytics
system where it's a data warehouse,
20. And that means
analytics
applied right where the data sits.
21. So using closed-form
analytics
to calculate the minimum number
22. our recently announced IBM Integrated
Analytics
System, which runs safely behind our firewall.
23. Using Google
Analytics
can allow you to do
24. We checked Google
Analytics
.
25. Our thanks as well to IBM for sponsoring the big data
analytics
zone. And thank you, and
26. And that means
analytics
applied right where the data sits.
27. you can track all these Google
Analytics
data
28. of data
analytics
and data science,
29. in MS in data
analytics
.
30. offering in MS in data
analytics
.
31. And Rob and I were even chatting earlier how data
analytics
is just moving into all different
32. I went to Google
Analytics
.
33. If you don't have a Google
Analytics
account already,
34. If you want to use Google
Analytics
35. you have to be a specialist on predictive
analytics
.
36. across the entire
analytics
life cycle.
37. the whole BI and
analytics
world
38. to link your
Analytics
in AdWords,
39. is getting people educated on data and
analytics
.
40. how data
analytics
is just moving
41. to import all of your
Analytics
account in,
42. Google
Analytics
is Google's product
43. So, you can't talk about sports without talking about
analytics
.
44. the screen reader survey is the closest thing we have to
analytics
for
45. or rather you use Google
Analytics
46. you want to go to Google
Analytics
.
47. >> One thing worth noting is we've talked about
analytics
to the data.
48. actually doing the
analytics
for us.
49. Closer to where the data resides to deliver high performance
analytics
.
50.
Analytics
where the data is.
51. moving more towards data and
analytics
52. to my
analytics
account,
53. with each individual property in Google
Analytics
.
54. with their approach to self-service
analytics
,
55. And then you see when you deploy
analytics
56. if you start out with
Analytics
this way,
57. General Manager IBM
Analytics
, Rob Thomas.
58. and I can see
Analytics
engagement in AdWords.
59. data
analytics
, you can solve, you can cure cancer.
60. if you're already are using Google
Analytics
61. It's
analytics
first to the data, not the other way around.
62. we have in the Integrated
Analytics
System and Db2 Warehouse on Cloud.
63. you click access
analytics
,
64. You need to be able to bring your
analytics
to the data
65. And we can look at that and look at our own
analytics
to tell
66. And then how do you move
analytics
67. or
analytics
, you know warehouse,
68. It shows the Google
Analytics
on the page,
69. It's
analytics
first to the data,
70. IBM Integrated
Analytics
System,
71. you've already set up in Google
Analytics
.
72. Distributed teams can work together on
analytics
projects.
73. you'll notice this is the same
Analytics
account
74. in the Integrated
Analytics
System
75. We help you bring
analytics
and governance
76. of in database
analytics
.
77. Distributed teams can work together on
analytics
projects.
78. to bring up the new Google
Analytics
account.
79. systems, have it in a single place for
analytics
.
80. >> [Rob] So this is where we get to the idea of in database
analytics
.
81.
Analytics
of the channel and see who watches my videos there was like one from North Korea one time that is so cool
82.
analytics
.
83. the BI and
analytics
tools,
84. And using Google
Analytics
integrated with AdWords
85. to get trumped by
analytics
.
86. Data
Analytics
Hands On takes you from soup to nuts,
87. And then how do you move
analytics
closer to your data?
88. power to ask for certain
analytics
data from a completely different department?
89. I then show Google
Analytics
set up
90. in the
analytics
pipeline?
91. from Google
Analytics
side
92. see now the development of data
analytics
as part of the industry.
93. data and
analytics
than ever before.
94. over the years ahead. Data
analytics
, I've already made that point. It's no longer
95. And what are those other participants in the
analytics
pipeline?
96. because in Google
Analytics
,
97.
Analytics
where the data is.
98. You need to be able to bring your
analytics
to the data because it's most efficient that
99. but the way we talk about
analytics
and warehousing
100. So now this Google
Analytics
property
101. We help you bring
analytics
and governance to where your data is.
102. to my point of data
analytics
, but the Internet of Things theme works from this
103. Now the
analytics
platform and the business application
104. And then you see when you deploy
analytics
next to your data, even a financial adviser,
105. I started my Google
Analytics
account,
106. data science and
analytics
skills can extend beyond
107. to deliver high performance
analytics
.
108. is go and look at your
analytics
, and actually see
109. if you already are using
Analytics
110. around the
analytics
of OSM.
111. without talking about
analytics
.
112.
analytics
to the data.
113. Now I'd like to welcome my co-host General Manager IBM
Analytics
, Rob Thomas.
114. It's the IBM
analytics
system where it's a data warehouse, data science tools are built
115. but with the new tools, data science and
analytics
skills can extend beyond the domain of just
показать все...
