計算不同時間範圍內的KPI

我試圖計算特定時間範圍內的KPI值 - 響應率，轉化率和收益率。我需要使用SAS來做到這一點。這是所需的輸出我在尋找：計算不同時間範圍內的KPI

MTD/YTD Dates Tactic Response Rate Conversion Rate Yield Rate 
Last 3 Month Performance 11/1/13-1/31/14 ProspectDM 0.303% 27.2% 0.082% 
Last 3 Month Performance 11/1/13-1/31/14 AcquisitionDM 0.486% 30.1% 0.146% 
Last 3 Month Performance 11/1/13-1/31/14 ProspectBAU 0.248% 25.2% 0.063% 
2014 YTD Performance 1/1/14-1/31/14 ProspectDM 0.173% 25.1% 0.043% 
2014 YTD Performance 1/1/14-1/31/14 AcquisitionDM 0.464% 28.9% 0.134% 
2014 YTD Performance 1/1/14-1/31/14 ProspectBAU 0.123% 21.4% 0.026% 
2013 Performance 1/1/13-12/31/13 ProspectDM 0.412% 25.7% 0.106% 
2013 Performance 1/1/13-12/31/13 AcquisitionDM 0.648% 28.4% 0.184% 
2013 Performance 1/1/13-12/31/13 ProspectBAU 0.324% 23.6% 0.076%

我有這個計劃，計算關鍵績效指標：

data have; 
set want; 
Response_Rate=round((Calls/Mailed),0.00001) ; 
Conversion_Rate=round((Sales/Calls),0.00001); 
Yield=round((Sales /Mailed),0.00001); 
Label 
Response_Rate='Response Rate' 
Conversion_Rate='Conversion Rate' 
Yield='Yield Rate'; 
format Response_Rate Conversion_Rate Yield Percent10.2; 
run;

什麼我有麻煩的是如何計算它們的時間範圍最近3個月的表現，2。最新的表現，以及3.前一年的表現。我還需要一個連接日期範圍的日期範圍變量。我熟悉intnx函數：

drop_date between &start and intnx('month',&start,-3,"Sameday") 
drop_date between &start and intnx('year',&start,-1,"Sameday");

下面是一些示例數據。任何援助將不勝感激。謝謝！

data have; 
length Insertion 8 tactic $13; 
INPUT Insertion :anydtdte9. tactic $ Mailed Calls Sales ; 
format Insertion date9.; 
datalines; 
3/2/2013 ProspectDM 167 53 19 
4/6/2013 ProspectDM 216 65 12 
2/23/2013 ProspectDM 153 73 26 
5/11/2013 ProspectDM 207 64 4 
5/4/2013 ProspectDM 209 69 15 
6/22/2013 ProspectDM 123 69 8 
1/26/2013 ProspectDM 109 59 22 
2/9/2013 ProspectDM 121 56 1 
2/2/2013 ProspectDM 182 63 21 
1/19/2013 ProspectDM 151 57 11 
6/8/2013 ProspectDM 171 57 27 
6/15/2013 ProspectDM 170 68 14 
4/20/2013 ProspectDM 167 50 17 
3/9/2013 ProspectDM 168 66 17 
5/18/2013 ProspectDM 141 50 28 
8/17/2013 ProspectDM 217 67 13 
9/21/2013 ProspectDM 193 63 3 
5/25/2013 ProspectDM 161 57 22 
1/4/2014 ProspectDM 182 51 18 
9/14/2013 ProspectDM 124 72 16 
6/1/2013 ProspectDM 118 52 20 
6/29/2013 ProspectDM 115 69 22 
8/31/2013 ProspectDM 146 67 16 
8/3/2013 ProspectDM 157 67 3 
1/11/2014 ProspectDM 183 62 3 
1/18/2014 ProspectDM 206 74 8 
9/7/2013 ProspectDM 168 74 28 
12/28/2013 ProspectDM 201 71 16 
10/12/2013 ProspectDM 133 59 24 
2/1/2014 AcquisitionDM 176 50 23 
1/25/2014 AcquisitionDM 136 68 20 
2/16/2013 AcquisitionDM 122 66 10 
8/24/2013 AcquisitionDM 190 50 22 
9/28/2013 AcquisitionDM 210 63 8 
12/21/2013 AcquisitionDM 111 58 8 
3/30/2013 AcquisitionDM 156 70 19 
4/13/2013 AcquisitionDM 149 66 28 
5/11/2013 AcquisitionDM 149 60 20 
5/18/2013 AcquisitionDM 164 63 7 
6/22/2013 AcquisitionDM 151 60 20 
3/16/2013 AcquisitionDM 182 66 22 
3/9/2013 AcquisitionDM 106 61 19 
4/27/2013 AcquisitionDM 140 72 29 
6/1/2013 AcquisitionDM 122 55 11 
5/25/2013 AcquisitionDM 109 54 19 
1/4/2014 AcquisitionDM 113 65 11 
11/16/2013 AcquisitionDM 160 57 30 
12/7/2013 AcquisitionDM 114 64 17 
12/14/2013 AcquisitionDM 98 61 26 
1/18/2014 AcquisitionDM 147 71 9 
4/6/2013 AcquisitionDM 152 52 29 
12/1/2013 AcquisitionDM 215 72 14 
12/15/2013 AcquisitionDM 209 61 25 
1/12/2013 AcquisitionDM 175 75 21 
2/23/2013 AcquisitionDM 101 66 8 
3/30/2013 AcquisitionDM 153 57 4 
1/5/2013 AcquisitionDM 180 74 29 
11/24/2013 AcquisitionDM 156 50 20 
5/11/2013 AcquisitionDM 122 68 17 
12/29/2013 AcquisitionDM 198 70 20 
4/13/2013 AcquisitionDM 111 55 21 
5/4/2013 AcquisitionDM 97 56 6 
4/27/2013 AcquisitionDM 124 66 19 
6/15/2013 AcquisitionDM 174 67 27 
12/22/2013 AcquisitionDM 142 58 22 
6/1/2013 AcquisitionDM 183 65 4 
7/20/2013 AcquisitionDM 181 66 4 
3/9/2013 AcquisitionDM 144 68 15 
5/4/2013 AcquisitionDM 97 59 18 
7/27/2013 AcquisitionDM 199 54 5 
4/13/2013 AcquisitionDM 118 56 1 
8/24/2013 AcquisitionDM 153 51 2 
3/16/2013 AcquisitionDM 136 67 13 
8/31/2013 AcquisitionDM 96 57 19 
4/27/2013 AcquisitionDM 184 66 15 
6/29/2013 AcquisitionDM 119 55 3 
5/18/2013 AcquisitionDM 111 74 5 
4/20/2013 AcquisitionDM 192 72 15 
4/20/2013 AcquisitionDM 153 69 30 
9/28/2013 AcquisitionDM 164 50 26 
9/28/2013 AcquisitionDM 192 55 21 
8/3/2013 AcquisitionDM 163 51 11 
12/7/2013 AcquisitionDM 209 58 15 
6/22/2013 AcquisitionDM 101 55 3 
10/26/2013 AcquisitionDM 171 74 11 
7/6/2013 AcquisitionDM 172 61 3 
11/2/2013 AcquisitionDM 153 68 6 
5/25/2013 AcquisitionDM 124 55 2 
9/7/2013 AcquisitionDM 144 66 20 
8/10/2013 AcquisitionDM 135 69 9 
11/30/2013 AcquisitionDM 181 57 18 
10/5/2013 AcquisitionDM 104 60 13 
10/19/2013 AcquisitionDM 115 50 16 
11/23/2013 AcquisitionDM 209 53 30 
1/25/2014 AcquisitionDM 137 63 22 
8/24/2013 AcquisitionDM 141 50 23 
8/17/2013 AcquisitionDM 152 64 8 
9/14/2013 AcquisitionDM 106 61 7 
11/16/2013 AcquisitionDM 169 60 11 
10/12/2013 AcquisitionDM 112 65 15 
9/21/2013 AcquisitionDM 173 73 26 
10/5/2013 AcquisitionDM 175 53 1 
12/21/2013 AcquisitionDM 104 68 28 
2/1/2014 AcquisitionDM 113 62 30 
7/14/2013 AcquisitionDM 114 73 28 
7/28/2013 AcquisitionDM 193 59 26 
9/22/2013 AcquisitionDM 187 55 15 
7/14/2013 AcquisitionDM 214 58 13 
8/11/2013 AcquisitionDM 151 52 12 
12/1/2013 AcquisitionDM 106 60 21 
12/15/2014 AcquisitionDM 105 55 27 
8/18/2013 AcquisitionDM 101 67 24 
1/19/2013 AcquisitionDM 185 55 1 
1/26/2013 AcquisitionDM 208 60 24 
3/9/2013 AcquisitionDM 129 65 14 
9/29/2013 AcquisitionDM 185 66 2 
12/8/2013 AcquisitionDM 149 68 10 
3/2/2013 AcquisitionDM 192 58 3 
2/23/2013 AcquisitionDM 146 72 21 
12/29/2013 AcquisitionDM 209 53 28 
4/13/2013 AcquisitionDM 213 56 20 
12/1/2013 AcquisitionDM 140 64 15 
2/2/2013 AcquisitionDM 128 75 3 
3/30/2013 AcquisitionDM 135 68 12 
5/18/2013 AcquisitionDM 140 52 20 
12/22/2013 AcquisitionDM 206 66 15 
1/5/2013 AcquisitionDM 119 63 20 
6/1/2013 AcquisitionDM 126 73 2 
2/9/2013 ProspectBAU 175 59 12 
6/8/2013 ProspectBAU 190 51 12 
4/27/2013 ProspectBAU 107 54 19 
7/13/2013 ProspectBAU 137 54 27 
2/16/2013 ProspectBAU 192 68 8 
3/16/2013 ProspectBAU 101 63 3 
5/18/2013 ProspectBAU 156 60 23 
6/1/2013 ProspectBAU 142 50 20 
9/28/2013 ProspectBAU 168 75 21 
4/20/2013 ProspectBAU 187 66 30 
5/4/2013 ProspectBAU 126 74 4 
3/23/2013 ProspectBAU 152 57 23 
8/31/2013 ProspectBAU 108 53 14 
11/2/2013 ProspectBAU 154 67 26 
5/25/2013 ProspectBAU 201 64 22 
10/5/2013 ProspectBAU 107 54 8 
6/22/2013 ProspectBAU 204 70 22 
8/10/2013 ProspectBAU 128 55 19 
9/14/2013 ProspectBAU 130 64 24 
6/29/2013 ProspectBAU 147 61 29 
12/14/2013 ProspectBAU 97 54 5 
1/18/2014 ProspectBAU 97 75 4 
12/7/2013 ProspectBAU 158 65 8 
8/3/2013 ProspectBAU 178 67 16 
1/11/2014 ProspectBAU 97 65 27 
9/21/2013 ProspectBAU 147 55 28 
10/12/2013 ProspectBAU 126 62 1 
2/1/2014 ProspectBAU 158 63 2 
7/21/2012 ProspectBAU 95 61 1 
11/17/2013 ProspectBAU 157 64 11 
12/8/2013 ProspectBAU 133 63 23 
1/12/2013 ProspectBAU 167 54 6 
4/6/2013 ProspectBAU 172 56 6 
7/20/2013 ProspectBAU 110 57 30 
8/24/2013 ProspectBAU 174 73 11 
9/7/2013 ProspectBAU 157 70 14 
1/25/2014 ProspectBAU 178 63 29 
1/25/2014 ProspectBAU 178 63 29 
;

來源

2014-03-03 user2270911

我會建議創建一個格式來定義您的時間段。然後可以與proc means一起使用來生成您的輸出。

爲此，您需要了解multilabel formats。也就是說，爲一個輸入值存儲多個值（標籤）的格式。基本概念是您爲符合每個報告期限的每個日期值存儲標籤，然後按此彙總。

例如：

proc format; 
value reppd (multilabel notsorted) 
'01NOV13'd - '31JAN14'd = "Last 3 Month Performance" 
'01JAN14'd - '31DEC14'd = "2014 YTD Performance" 
'01JAN13'd - '31DEC13'd = "2013 YTD Performance" 
; 
quit; 

proc means data=have; 
class insertion/mlf; 
class tactic; 
types insertion*tactic; 
var response_rate conversion_rate yield; 
format insertion reppd.; 
run;

來源

2014-03-03 11:15:40 Joe

計算不同時間範圍內的KPI

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