212:
73:: who is the subject (describing subject characteristics related to the organization, such as socio-demographic-geographic data, events, etc.), and what does the subject do (describing characteristics of subject behavior, product purchase, product usage, payment behavior, relationship instances, etc.).
66:) and stores all data (variables) describing this subject. If for example the subject is a customer then the record may be referred to as a customer analytic record or "CAR".
121:"Fundamentals of Machine Learning for Predictive Data Analytics Chapter 2: Data to Insights to Decisions - John Kelleher and Brian Mac Namee and Aoife D'Arcy"
233:
120:
43:) is a flat table that is used for building analytical models and scoring (predicting) the future behavior of a subject.
222:
96:
262:
159:
186:
76:
Analytical base tables may be developed as a more general instance applicable to solving general
172:
28:
80:
problems, but more often it is developed for solving very specific business problems.
256:
144:
59:
211:
17:
77:
63:
70:
205:
143:
Bohe, Astrid; Cervini, Gianluca; Zobi, Gianluca (2013-08-28).
145:"Digital consumer data model and customer analytic record"
229:
236:
to it so that it can be listed with similar articles.
46:A single record in this table is referred to as an
8:
88:
69:Basically, there are two categories of
168:
157:
58:), and represents the subject of the
7:
221:needs additional or more specific
25:
210:
187:"The customer analytic record"
1:
279:
167:Cite journal requires
101:documentation.sas.com
33:analytical base table
37:analytic base table
251:
250:
234:adding categories
97:"SAS Help Center"
48:analytical record
16:(Redirected from
270:
246:
243:
237:
214:
206:
201:
200:
198:
197:
183:
177:
176:
170:
165:
163:
155:
153:
152:
140:
134:
128:
127:
125:
117:
111:
110:
108:
107:
93:
21:
278:
277:
273:
272:
271:
269:
268:
267:
263:Database theory
253:
252:
247:
241:
238:
227:
215:
204:
195:
193:
185:
184:
180:
166:
156:
150:
148:
142:
141:
137:
131:
123:
119:
118:
114:
105:
103:
95:
94:
90:
86:
52:analytic record
29:database theory
23:
22:
15:
12:
11:
5:
276:
274:
266:
265:
255:
254:
249:
248:
218:
216:
209:
203:
202:
178:
169:|journal=
135:
129:
112:
87:
85:
82:
24:
14:
13:
10:
9:
6:
4:
3:
2:
275:
264:
261:
260:
258:
245:
235:
231:
225:
224:
219:This article
217:
213:
208:
207:
192:
188:
182:
179:
174:
161:
147:. EP2631851A1
146:
139:
136:
133:
130:
122:
116:
113:
102:
98:
92:
89:
83:
81:
79:
74:
72:
67:
65:
61:
57:
53:
49:
44:
42:
38:
34:
30:
19:
239:
220:
194:. Retrieved
190:
181:
160:cite journal
149:. Retrieved
138:
132:
115:
104:. Retrieved
100:
91:
75:
68:
55:
51:
47:
45:
40:
36:
32:
26:
242:March 2024
223:categories
196:2024-05-14
151:2024-05-14
106:2024-05-14
84:References
60:prediction
18:Base table
191:Capgemini
257:Category
230:help out
78:business
64:customer
62:(e.g. a
228:Please
31:, the
124:(PDF)
173:help
71:data
232:by
50:or
41:ABT
35:or
27:In
259::
189:.
164::
162:}}
158:{{
99:.
56:AR
244:)
240:(
226:.
199:.
175:)
171:(
154:.
126:.
109:.
54:(
39:(
20:)
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
