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