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