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Game-Changing Analytics for Electric Utilities and Smart Grids
How to manage customer engagement, retention & acquisition
© Design for Innovation Ltd, 2008-10 1
Win-Win strategies that maximize margin while rewarding customers
Game-Changing Analytics for Building Uncontested Business Models
“When the Game Gets Tough, Change the Game”
The Boston Consulting Group
© Design for Innovation Ltd, 2008-10 2
Game-Changing Analytics for Building Uncontested Business Models
“Some companies have built their very businesses on their ability to collect,
analyze, and act on data. Every company can learn from what these firms do”
Thomas Davenport, Competing on Analytics
© Design for Innovation Ltd, 2008-10 3
Game-Changing Analytics for Building Uncontested Business Models
“Business analytics involves using sophisticated technology to bring information together and sophisticated algorithms to filter and analyze that information.The outputs can include deep understanding of the workings of the business and its connections to the marketplace, key performance indicators to drive business decisions, dramatic improvements in the performance of the most critical business processes, and insights and innovations that can change the basis of competition…”
nGenera
© Design for Innovation Ltd, 2008-10 4
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 5
A sample of 74 houses (H1 to H74) is used to create a Customer Dashboard to develop effective Electricity Demand Side Management (DSM) and Customer
Relationship Management (CRM) practicesAverage Annual Half-Hourly Profiles for 74 Residential Houses: H1 to H74
0
0.5
1
1.5
2
2.5
3
0:00
1:00
2:00
3:00
4:00
5:00
6:00
7:00
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
Time of Day
Ener
gy C
onsu
mpt
ion
(kW
h)
Channel-1:Channel-1:21:00-06:0021:00-06:00Night RateNight Rate
Channel-1:Channel-1:21:00-06:0021:00-06:00Night-RateNight-Rate
Channel-2:Channel-2:06:00-10:0006:00-10:00
Peak-MorningPeak-Morning
Channel-3:Channel-3:10:00-17:0010:00-17:00
Day-RateDay-Rate
Channel-4:Channel-4:17:00-21:0017:00-21:00Peak-NightPeak-Night
Red Line = ThresholdRed Line = Threshold
-ve-ve
+ve+ve-ve-ve
+ve+ve
-ve-ve
+ve+ve
-ve-ve
+ve+ve
-ve-ve
+ve+ve
+ve = desired output+ve = desired output
-ve = output to avoid-ve = output to avoid
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 6
Important Definitions
• Threshold Response (TR):– The TR is the number of times (positive or
negative) a particular threshold is crossed within a given time period, multiplied by its weighted significance.
• Energy Contribution (EC):– The EC is the value of energy contributed
(positive or negative) between threshold crossings, multiplied by its weighted significance.
Game-Changing Analytics for Building Uncontested Business Models
Design for InnovationDesign for Innovation Embedding best practice discipline in business
© Design for Innovation Ltd, 2008-10 4
Thresholds can be used tocreate customer incentives
© Design for Innovation Ltd, 2008-10 8
A different kWh threshold is set each month [based upon an average energy consumption profile], to encourage load transfer at different times of day
Total Energy Consumption per House per Year
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
H1
H2
H3
H4
H5
H6
H7
H8
H9
H10
H11
H12
H13
H14
H15
H16
H17
H18
H19
H20
H21
H22
H23
H24
H25
H26
H27
H28
H29
H30
H31
H32
H33
H34
H35
H36
H37
H38
H39
H40
H41
H42
H43
H44
H45
H46
H47
H48
H49
H50
H51
H52
H53
H54
H55
H56
H57
H58
H59
H60
H61
H62
H63
H64
H65
H66
H67
H68
H69
H70
H71
H72
H73
H74
Aver
age
House: H1 to H74
Tota
l Con
sum
ptio
n (k
Wh
/ Yea
r)
Dec
NovOct
SepAug
JulJun
MayApr
MarFeb
Jan
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 9
The value of each Threshold Response (TR) and Energy Contribution (EC) is weighted according to the total energy cost over the year, for each month
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 10
The different weightings vary the impact of the Energy Contributions from each house per month
Energy Contributions (EC) from 74 Residential Houses
Max
Min
Avg
-20
-15
-10
-5
0
5
10
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Month of Year
Ener
gy C
ontr
ibut
ion
per H
ouse
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 11
Threshold Response and Energy Contribution from each house for JanuaryJan TR-EC Values for 74 Residential Houses
-2
-1
0
1
2
-4 -3 -2 -1 0 1 2 3 4
TR, Threshold Responsiveness
EC, E
nerg
y C
ontr
ibut
ions
H1 H2 H3 H4 H5 H6 H7 H8 H9 H10 H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 H25 H26 H27 H28
H29 H30 H31 H32 H33 H34 H35 H36 H37 H38 H39 H40 H41 H42 H43 H44 H45 H46 H47 H48 H49 H50 H51 H52 H53 H54 H55 H56
H57 H58 H59 H60 H61 H62 H63 H64 H65 H66 H67 H68 H69 H70 H71 H72 H73 H74 Max Min Avg
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 12
Customer Threshold Response (TR) – Energy Contribution (EC) DashboardMAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
44 0 5
21 9 -5 0-10 - 5-15 -10-20 -15
MIN
MIN
January Dashboard: Number of Houses in each Segment
Q 1Q 1Q 2Q 2Q 3Q 3Q 4Q 4
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 13
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
+1+1 0 5
- 1- 1 00 -5 0-10 - 5-15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsFebruary Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 14
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
- 44- 44 +34+34 +9+9 0 5
- 5- 5 00 -5 0
+1+1 +5+5 -10 - 5-15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsMarch Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 15
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15
+5+5 +5+5 5 10
+1+1 - 16- 16 +7+7 0 5
- 9- 9 - 4- 4 +4+4 -5 0
- 3- 3 +5+5 +2+2 -10 - 5
+5+5 -15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsApril Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 16
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15
+2+2 - 2- 2 5 10
- 1- 1 +2+2 - 2- 2 0 5
+2+2 +2+2 00 -5 0
+1+1 - 4- 4 - 1- 1 -10 - 5
- 2- 2 +2+2 -15 -10
+1+1 -20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsMay Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 17
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15
- 7- 7 - 3- 3 5 10
+18+18 +6+6 -1414 0 5
+5+5 +3+3 - 4- 4 -5 0
- 1- 1 +4+4 - 1- 1 -10 - 5
- 3- 3 - 2- 2 -15 -10
- 1- 1 -20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsJune Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 18
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
+1+1 +6+6 - 7- 7 0 5
- 2- 2 +3+3 -5 0
00 - 1- 1 -10 - 5-15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsJuly Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 19
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
- 1- 1 -14-14 +14+14 0 5
00 -1-1 -5 0
+2+2 -1-1 -10 - 5
+1+1 -15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsAugust Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 20
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
+30+30 - 29- 29 0 5
+8+8 - 1- 1 -5 0
-44 - 3- 3 -10 - 5
- 1- 1 -15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsSeptember Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 21
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
+4+4 - 4- 4 0 5
00 00 -5 0-10 - 5-15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsOctober Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 22
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
00 0 5
00 00 -5 0-10 - 5-15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsNovember Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 23
MAXTR
EC
-20 -15
-15 -10
-10 - 5
- 5 0
0 5
5 10
10 15
15 20
TREC
15 2010 15 5 10
+1+1 0 5
00 - 1- 1 -5 0-10 - 5-15 -10-20 -15
MIN
MINCustomer Threshold Response (TR) – Energy Contribution (EC) Dashboard
Game-Changing Analytics for Building Uncontested Business ModelsDecember Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 24
Drilling Down One Level: December Dashboard Revisited
- 5 0 0 5TR
EC
Key: Key: Changes from Nov to DecChanges from Nov to Dec::Houses in YellowHouses in Yellow = unchanged = unchangedHouses in RedHouses in Red = removed= removedHouses in GreenHouses in Green = added= added
H2H2 H3H3 H4H4 H6 H6 H8 H10 H12 H13 H8 H10 H12 H13 H14 H15 H16 H17 H18 H21 H23 H14 H15 H16 H17 H18 H21 H23 H25 H26 H31 H34 H35 H37 H38 H25 H26 H31 H34 H35 H37 H38 H39 H40 H41 H45 H46 H47 H48 H39 H40 H41 H45 H46 H47 H48 H49 H51 H53 H55 H56 H57 H60 H49 H51 H53 H55 H56 H57 H60 H62 H63 H64 H62 H63 H64 H65 H65 H66 H68 H70 H66 H68 H70 H72 H74H72 H74
0 5
H1 H5 H7 H1 H5 H7 H9H9 H11 H19 H20 H22 H11 H19 H20 H22 H28 H29 H32 H28 H29 H32 H33H33 H36 H43 H52 H36 H43 H52 H58H58 H59 H61 H69 H71 H59 H61 H69 H71 H73H73
H3 H6 H3 H6 H9H9 H24 H27 H30 H24 H27 H30 H33 H33 H42 H42 H44 H50 H44 H50 H58H58 H65H65 H67 H67 H73H73
- 5 0
Game-Changing Analytics for Building Uncontested Business ModelsDecember Dashboard: Change in No. of Houses in each Segment
© Design for Innovation Ltd, 2008-10 25
Keeping Score: Significance of TR-EC Values
TR Segment EC SegmentCombined
TR-EC Segments
Scoring CategoriesM
argin
Utility
Portion
User Portion
Segment-1: TR = -20 to -15
Segment-1: EC = -20 to -15 11 EC = 1: TREC =
11, 21, 31, 41, 51, 61, 71, 81 -18% - 8% -10%
Segment-2: TR = -15 to -10
Segment-2: EC = -15 to -10 22 EC = 2: TREC =
12, 22, 32, 42, 52, 62, 72, 82 -10% -4% -6%
Segment-3: TR = -10 to -5
Segment-3: EC = -10 to -5 33 EC = 3: TREC =
13, 23, 33, 43, 53, 63, 73, 83 -5% -2% -3%
Segment-4: TR = -5 to 0
Segment-4: EC = -5 to 0 44 EC = 4: TREC =
14, 24, 34, 44, 54, 64, 74, 84 -2% -1% -1%
Segment-5: TR = 0 to 5
Segment-5: EC = 0 to 5 55 EC = 5: TREC =
15, 25, 35, 45, 55, 65, 75, 85 +3% +2% +1%
Segment-6: TR = 5 to 10
Segment-6: EC = 5 to 10 66 EC = 6: TREC =
16, 26, 36, 46, 56, 66, 76, 86 +8% +4% +4%
Segment-7: TR = 10 to 15
Segment-7: EC = 10 to 15 77 EC = 7: TREC =
17, 27, 37, 47, 57, 67, 77, 87 +15% +7% +8%
Segment-8: TR = 15 to 20
Segment-8: EC = 15 to 20 88 EC = 8: TREC =
18, 28, 38, 48, 58, 68, 78, 88 +24% +10% +14%
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 26
Drilling Down to the Next Level – Descriptive Analytics: Use Individual House Data to Classify Existing Customer Behaviour
House TREC dTR/dt dEC/dt Cust-mths Avg Bill Online Profile Views Suburb1 61 5 -6 19 $171.42 8 D2 62 2 -3 24 $96.00 13 F3 62 2 -6 30 $228.77 4 A4 32 1 -3 39 $110.20 1 D5 72 6 -5 7 $179.04 13 E6 63 -2 -2 6 $101.79 8 F7 88 1 3 21 $153.45 9 G8 47 -3 3 26 $118.44 14 C9 56 3 -1 25 $172.30 1 F
10 71 -1 -6 27 $151.17 16 D11 56 2 0 10 $227.42 12 D12 27 -2 -1 32 $194.69 4 E13 56 -3 4 4 $236.40 10 C14 63 2 -2 2 $204.53 5 B15 43 -1 1 29 $87.07 1 A16 52 3 -5 27 $204.64 15 E17 33 -1 -2 20 $186.86 2 E18 27 1 -1 23 $124.46 14 G19 32 -3 1 9 $95.34 5 C20 53 1 2 21 $228.07 13 E21 58 1 2 32 $194.25 3 A
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 27
Drilling Down to the Next Level – Descriptive Analytics: Use Decision Trees to Classify Customer Behaviour for Incentives
= range1 [-∞ - 37.500]
> 33.105 ≤ 33.105
> 9.646
> -5.706
> -2.872
> -2.663
> 1.961≤ 1.961
≤ -2.663
≤ -2.872
≤ -5.706
≤ 9.646
> -3.142
> -2.343
> -0.047≤ -0.047
≤ -2.343
≤ -3.142
= range2 [37.500 - ∞]
= A = B = C
> 0.923≤ 0.923
= D = E
> -0.213≤ -0.213
= F = G
House
Cust-mths
32 Cust-mths
dEC/dt
dEC/dt
dTR/dt
dEC/dt
88 56
47
62
71
dTR/dt
dEC/dt
dEC/dt
56 63
72
32
Suburb
25 37 dEC/dt
66 53
53 dEC/dt
46 24
65 58
Game-Changing Analytics for Building Uncontested Business Models
House TREC dTR/dt dEC/dt Cust-mths Avg Bill Online Profile Views Suburb1 56 -2 -1 21 $94.83 0 A2 28 -4 3 21 $118.96 3 A3 22 -5 -3 28 $245.67 16 C4 67 2 4 35 $185.55 4 B5 44 -1 -1 26 $223.77 2 F6 34 1 -4 41 $215.03 3 G7 22 -5 1 37 $164.44 15 E8 23 -5 -1 25 $127.19 10 F9 54 2 -2 4 $135.28 2 D
10 43 -1 -4 34 $201.57 5 E11 61 0 -4 40 $188.10 16 C12 42 -2 -3 36 $161.99 3 G13 26 -3 5 4 $138.04 10 A14 35 -4 0 6 $79.67 13 E15 28 -3 3 8 $204.40 14 B16 34 -1 -3 42 $215.69 16 G17 18 0 3 17 $76.54 6 A18 86 0 -1 17 $120.25 8 G19 34 -1 3 24 $109.19 2 E20 51 1 -4 15 $166.83 14 A21 63 4 -3 18 $120.70 15 F
© Design for Innovation Ltd, 2008-10 28
Drilling Down to the Next Level – Predictive Analytics: Predict Best Suburbs and Potential Customers to Target in Campaigns
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 29
Drilling Down to the Next Level – Predictive Analytics: Use Decision Trees to Predict which Potential Customers to Target
= A = B
> 0.154 ≤ 0.154
> 1.896≤ 1.896
= C
= range1 [-∞ - 37.500]= range2 [37.500 - ∞]
= D
> 105.448
> 29.793≤ 29.793
> 0.660≤ 0.660
≤ 105.448
= E
= range1 [-∞ - 37.500]= range2 [37.500 - ∞]
> -4.247
> 0.690≤ 0.690
≤ -4.247
= F
= range1 [-∞ - 37.500]
> 2.964 ≤ 2.964
> -2.018≤ -2.018
= range2 [37.500 - ∞]
= G
Suburb
56 dTR/dt
67 dEC/dt
28 22
House
22 74
Avg Bill
Cust-mths
35 dTR/dt
54 67
76
House
22 dTR/dt
dTR/dt
71 27
23
House
dTR/dt
63 dTR/dt
48 23
58
34
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 30
Decision Trees can be Used to Develop Business Rules Guiding Decisions Concerning Customer Responses to DSM and CRM
> 693.215
= WLV
> 936.505
> 3528.470
= RPS
> 29370.670
> 66671.070≤ 66671.070 = OAM0331 = FRT
= HRT= WTK 0331
≤ 29370.670= OAM0331 = MERI20100611085358 > 4138.635
> 7400.375
= AHRT = GN > 12344.215 = Fals e> 17930.125
≤ 17930.125 > 17405.145
≤ 17405.145 > 13228.655
≤ 13228.655> 13173.095≤ 13173.095
≤ 12344.215= ART= FRT= HRT
≤ 7400.375
= GN
> 6366.875
= A HRT > 7046.905≤ 7046.905= ART
= FRT= HRT
≤ 6366.875
= Fals e
> 6155.285
> 6220.365≤ 6220.365
≤ 6155.285> 4349.470
> 5033.460
= A HRT > 5107.700≤ 5107.700= A RT
= HRT
> 6069.945≤ 6069.945
≤ 5033.460
> 4597.500> 4700.400
> 4727.150≤ 4727.150
≤ 4700.400≤ 4597.500
> 4404.195
> 4433.125≤ 4433.125
≤ 4404.195
≤ 4349.470
= AHRT
> 4177.915
> 4249.290
> 4300.450≤ 4300.450
≤ 4249.290
≤ 4177.915
> 4145.090≤ 4145.090
= ART= HRT
≤ 4138.635
= AHRT
= GN
> 4039.140
≤ 4039.140
= Fals e
> 3561.955
> 3642.390
> 3696.595
≤ 3696.595
> 3656.275
> 3690.790≤ 3690.790
≤ 3656.275
≤ 3642.390
≤ 3561.955
> 3535.830≤ 3535.830
= A RT= FRT= HRT
= GN
> 3864.715≤ 3864.715
= WTK0331
> 8261.930
> 16405.145
= A RT= HRT
≤ 16405.145≤ 8261.930
= MERI20100611085358
> 4017.755
> 4808.285
> 5855.805
= AHRT= A RT
= FRT= HRT
≤ 5855.805
= GN
> 4921.490
= Fals e
> 5096.955
> 5251.140
> 5347.060≤ 5347.060
≤ 5251.140
≤ 5096.955
≤ 4921.490
≤ 4808.285
= GN
> 4515.060
≤ 4515.060
= False
> 4365.140
≤ 4365.140
> 4141.525
> 4277.790≤ 4277.790
> 4170.540≤ 4170.540
≤ 4141.525
> 4066.655≤ 4066.655
≤ 4017.755
≤ 3528.470
= OAM0331
= RPS
> 1216.255
> 2812.515
= AHRT= ART= DFRT= FRT= HRT
= MERI20100611085358
> 2933.750≤ 2933.750
= GN
> 2858.845
= Fals e
> 2901.850≤ 2901.850
≤ 2858.845
≤ 2812.515
= MERI20100611085358
> 1737.495
> 1740.960
> 2566.410
= A HRT= ART
= DFRT= FRT
= HRT
≤ 2566.410
≤ 1740.960
= GN
> 1740.040≤ 1740.040
≤ 1737.495
= GN
> 1277.155
> 1356.705
> 1361.005
> 1367.550
> 1367.935≤ 1367.935
≤ 1367.550
≤ 1361.005
= Fals e
> 1359.660≤ 1359.660
≤ 1356.705
= Fals e
> 1318.530
> 1326.220
> 1327.120≤ 1327.120
≤ 1326.220
≤ 1318.530
> 1318.095
≤ 1318.095
> 1302.455
≤ 1302.455
> 1294.065≤ 1294.065
> 1292.365≤ 1292.365
≤ 1277.155
= Fals e
> 1275.380
≤ 1275.380
> 1253.095
> 1254.950≤ 1254.950
> 1253.485≤ 1253.485
≤ 1253.095
> 1238.705≤ 1238.705
> 1237.680≤ 1237.680
≤ 1216.255
= MERI20100611085358
> 1024.580
> 1052.525
> 1188.635
> 1208.290
≤ 1208.290
= AHRT
> 1205.725
= GN
> 1207.080
> 1207.320≤ 1207.320
≤ 1207.080
≤ 1205.725
= GN
> 1190.475≤ 1190.475
= Fals e
> 1190.270≤ 1190.270
> 1190.115≤ 1190.115
= A RT= HRT
≤ 1188.635
= GN
> 1180.235
> 1183.420
= Fals e
> 1183.770
> 1187.100≤ 1187.100
> 1186.340≤ 1186.340
≤ 1183.770
≤ 1183.420
≤ 1180.235
= False
> 1175.825
> 1176.310
> 1177.070
> 1178.390≤ 1178.390
≤ 1177.070
≤ 1176.310
≤ 1175.825
> 1169.640≤ 1169.640
> 1168.745≤ 1168.745
> 1054.095≤ 1054.095
≤ 1052.525
= GN
> 1040.670
= False
> 1044.120
> 1044.550≤ 1044.550
≤ 1044.120
≤ 1040.670
≤ 1024.580
= GN
> 1016.405
= AH= A HRT
= Fals e
> 1018.585≤ 1018.585
> 1018.155≤ 1018.155
> 1017.320≤ 1017.320
> 1016.765≤ 1016.765
= ART= FRT= HRT
= False
> 1019.260≤ 1019.260
≤ 1016.405
= Fals e
> 1007.355
> 1009.565
> 1009.620
> 1011.530
> 1012.290
> 1014.405≤ 1014.405
> 1013.355≤ 1013.355
≤ 1012.290
≤ 1011.530
> 1009.815≤ 1009.815
≤ 1009.620
≤ 1009.565
≤ 1007.355
> 1006.515≤ 1006.515
> 1005.340≤ 1005.340
> 1003.475
> 1003.885
= AHRT= A RT
≤ 1003.885
≤ 1003.475
> 991.600
> 999.815
> 1001.175≤ 1001.175
≤ 999.815
≤ 991.600
> 991.340
> 991.500≤ 991.500
≤ 991.340
= WTK0331
> 1352.190
> 2046.485
> 2069.190
> 3263.915≤ 3263.915
= RPS
> 3021.830
= MERI20100611085358
> 3047.465≤ 3047.465
≤ 3021.830
= A HRT= A RT= FRT= HRT
≤ 2069.190
= RPS
> 2063.175≤ 2063.175
= AHRT= RT
≤ 2046.485
= RPS
= AFHRT= A HRT
= MERI20100611085358
> 1555.335
> 2006.505≤ 2006.505
= GN
> 2000.730≤ 2000.730
≤ 1555.335
= GN
> 1551.170
= Fals e
> 1553.120≤ 1553.120
≤ 1551.170
= Fals e
> 1449.640
> 1450.585
> 1519.665≤ 1519.665
> 1489.955≤ 1489.955
> 1487.330≤ 1487.330
≤ 1450.585
≤ 1449.640
= ART= FRT= HRT= T
≤ 1352.190
= RPS
> 1325.330
= ME RI20100611085358
> 1326.810≤ 1326.810
≤ 1325.330
= ME RI20100611085358
> 1026.710
> 1071.285
> 1174.150
> 1179.450
= GN
> 1182.380≤ 1182.380
≤ 1179.450
≤ 1174.150
= AHRT
= G N
> 1173.560≤ 1173.560
> 1135.195
= False
> 1168.690≤ 1168.690
> 1166.895≤ 1166.895
≤ 1135.195
= FRT= HRT= T
≤ 1071.285
= GN
> 1030.105
= False
> 1032.205≤ 1032.205
≤ 1030.105
≤ 1026.710
= GN
> 1022.455
= Fals e
> 1024.110≤ 1024.110
≤ 1022.455
= AHRT
= False
> 972.575
> 973.375
> 1005.800
> 1008.945
> 1009.545≤ 1009.545
≤ 1008.945
≤ 1005.800
> 1001.245≤ 1001.245
≤ 973.375
≤ 972.575
= ART= DFRT= FRT= HRT
≤ 936.505
= RPS
= O AM0331
= M ERI20100611085358
> 856.500
= GN
> 858.825
> 931.270
≤ 931.270
= False
> 865.015
> 866.480
> 866.960
> 912.095
≤ 912.095
> 891.530
> 898.365
> 900.875
> 911.565≤ 911.565
≤ 900.875
≤ 898.365
= A HRT= A RT= FRT= HRT
≤ 891.530
> 890.485≤ 890.485
> 889.510≤ 889.510
≤ 866.960
≤ 866.480
≤ 865.015
> 863.495≤ 863.495
> 860.610
> 861.825≤ 861.825
≤ 860.610
> 859.625≤ 859.625
> 859.140≤ 859.140
≤ 858.825
≤ 856.500
= GN
> 855.895
≤ 855.895
= Fals e
> 694.135
> 695.310
> 696.965
> 710.600
> 722.115
> 747.665
> 747.930
> 748.280≤ 748.280
≤ 747.930
≤ 747.665
> 741.095
> 743.350
> 744.545≤ 744.545
≤ 743.350
≤ 741.095
> 740.705≤ 740.705
≤ 722.115
> 714.115
> 715.585
> 720.595≤ 720.595
> 719.960≤ 719.960
≤ 715.585
≤ 714.115
> 711.955≤ 711.955
≤ 710.600
> 708.080
≤ 708.080
> 703.570
> 704.470
> 704.630≤ 704.630
≤ 704.470
≤ 703.570
≤ 696.965
= A HRT= ART= HRT
≤ 695.310
≤ 694.135
> 693.705≤ 693.705
> 693.440≤ 693.440
= WTK0331
> 795.515
> 801.805
> 908.190
≤ 908.190
= MERI20100611085358
> 905.170
≤ 905.170
> 884.885
> 897.585
= AHRT= HRT
≤ 897.585
= G N
> 885.890
= Fals e
> 887.590
> 897.175≤ 897.175
> 894.705≤ 894.705
≤ 887.590
≤ 885.890
≤ 884.885
= GN
> 866.100
> 882.500≤ 882.500
> 881.465≤ 881.465
≤ 866.100
= AHRT= ART
= FRT= HRT
≤ 801.805
≤ 795.515
= MERI20100611085358
> 794.615
≤ 794.615
> 694.585
= GN
> 698.220
> 707.045
> 712.895
> 715.390
> 731.180
≤ 731.180
= Fals e
> 730.215
≤ 730.215
> 717.235
> 720.235≤ 720.235
≤ 717.235
> 715.685≤ 715.685
≤ 715.390
≤ 712.895
= False
> 707.700
> 711.235
≤ 711.235
> 710.090≤ 710.090
> 708.785≤ 708.785
≤ 707.700
≤ 707.045
= False
> 700.460≤ 700.460
> 698.735≤ 698.735
≤ 698.220
= Fals e
> 696.530≤ 696.530
≤ 694.585
≤ 693.215
= RPS> 364.390
= WLV
= OAM0331
= MERI20100611085358
> 574.090
> 575.085
> 575.300
= GN
> 576.090
> 601.525
> 656.550
> 664.935
> 668.905
> 671.175
> 674.210
> 676.325
> 676.500≤ 676.500
≤ 676.325
= AHRT= ART
= FRT= HRT
≤ 674.210
≤ 671.175
= Fals e
> 670.235
≤ 670.235
> 669.590≤ 669.590
≤ 668.905= False
> 666.645≤ 666.645
≤ 664.935= Fals e
> 658.380
> 661.120
≤ 661.120
> 659.300
> 659.465≤ 659.465
≤ 659.300
≤ 658.380
≤ 656.550
= Fals e
> 655.315
> 655.665
> 655.900
> 656.430≤ 656.430
≤ 655.900
= AHRT
> 655.745≤ 655.745
≤ 655.665
≤ 655.315
> 603.175
> 604.305
> 604.605≤ 604.605
≤ 604.305
≤ 603.175
> 602.620
≤ 602.620
> 601.625
> 602.225≤ 602.225
≤ 601.625
≤ 601.525
= False
> 590.435
> 600.600
≤ 600.600
> 595.910
> 596.670
≤ 596.670
= AHRT
> 596.125≤ 596.125
= HRT
≤ 595.910
> 595.205
≤ 595.205
> 595.040≤ 595.040
≤ 590.435
> 586.945
= A HRT
> 587.910
> 589.525
≤ 589.525
> 588.880≤ 588.880
≤ 587.910
= ART= HRT
≤ 586.945> 580.060
= AHRT
> 580.855
≤ 580.855
> 580.230≤ 580.230
= ART= FRT
= HRT> 585.570
≤ 585.570
≤ 580.060
> 578.565
≤ 578.565> 578.330≤ 578.330
≤ 576.090
≤ 575.300
≤ 575.085
≤ 574.090
= GN
> 367.925
> 423.015
> 519.850
> 520.535> 521.030= Fals e
> 570.400
> 573.520
≤ 573.520
> 573.045
≤ 573.045> 571.470
= A HRT= A RT= FRT= HRT
≤ 571.470
≤ 570.400> 570.045
≤ 570.045> 529.285
> 532.455> 532.730≤ 532.730
≤ 532.455
≤ 529.285= AHRT= ART
= DFRT
= FRT
> 525.410≤ 525.410
= HRT
≤ 521.030 ≤ 520.535
= False
> 519.940≤ 519.940
≤ 519.850
= Fals e> 486.205> 489.990
> 492.560
> 515.200
≤ 515.200
> 513.890= AHRT
> 513.990≤ 513.990 = ART
= HRT≤ 513.890
≤ 492.560
> 492.345
≤ 492.345
> 491.395= AHRT
> 492.025≤ 492.025
≤ 491.395
> 490.660
= AHRT= HRT
≤ 490.660
> 490.380≤ 490.380
≤ 489.990
≤ 486.205
> 485.495
> 485.735
> 485.920≤ 485.920
≤ 485.735≤ 485.495
> 423.875
> 424.250
> 426.685
> 426.990≤ 426.990
≤ 426.685
> 424.540≤ 424.540
≤ 424.250
≤ 423.875
≤ 423.015
= Fals e> 417.150
= A HRT
> 417.495
> 422.875≤ 422.875
≤ 417.495
= ART= FRT= HRT
≤ 417.150
> 416.125> 416.675
> 416.780≤ 416.780
≤ 416.675
≤ 416.125
> 415.805
≤ 415.805
> 372.035
> 372.265
> 402.275
> 404.940
> 405.160≤ 405.160
≤ 404.940
= A HRT= ART
= FRT= HRT
= T
≤ 402.275
> 402.090≤ 402.090
≤ 372.265
≤ 372.035
> 368.270
= A FRT= AHRT
= A RT= FRT
= HRT
≤ 368.270
≤ 367.925
= AHRT= ART
= FRT= HRT
= WTK 0331
> 618.190
> 664.800
> 666.510
= M ERI20100611085358
> 668.355
> 673.945
> 677.445
> 678.575
= GN
> 682.195
> 684.675
= False
> 685.560
> 688.990≤ 688.990
≤ 685.560
≤ 684.675
≤ 682.195
= A HRT
> 679.045≤ 679.045
≤ 678.575
≤ 677.445
= GN
> 676.285≤ 676.285
= AHRT
> 675.345≤ 675.345
≤ 673.945
= AHRT
= GN
> 672.940≤ 672.940
= HRT
≤ 668.355
≤ 666.510
≤ 664.800
= AHRT
= MERI20100611085358
> 662.785≤ 662.785
= GN
> 661.525≤ 661.525
= ART= HRT
≤ 618.190
= MERI20100611085358
> 558.770
= A HRT
= G N
> 566.060
= Fals e
> 617.360
≤ 617.360
> 614.035
≤ 614.035
> 579.555
> 584.210
> 588.505
> 595.035
> 596.610≤ 596.610
≤ 595.035
> 590.755≤ 590.755
≤ 588.505
> 586.585≤ 586.585
≤ 584.210
≤ 579.555
> 572.830
≤ 572.830
> 567.970
> 568.595
> 571.795≤ 571.795
≤ 568.595
≤ 567.970
≤ 566.060
= ART= FRT= HRT
≤ 558.770
= GN
> 406.345
> 431.500
> 433.325
= Fals e
> 556.385
≤ 556.385
> 554.740
≤ 554.740
> 553.015≤ 553.015
> 549.755≤ 549.755
> 506.980≤ 506.980
> 484.375≤ 484.375
≤ 433.325
≤ 431.500
= AHRT
= Fals e
> 425.920
≤ 425.920
> 424.430≤ 424.430
> 408.295
> 409.745
> 414.810
> 416.440≤ 416.440
≤ 414.810
≤ 409.745
≤ 408.295
= ART= FRT= HRT
≤ 406.345
= A FRT= A HRT
= False
> 397.480
> 402.035
> 404.610
> 405.925≤ 405.925
≤ 404.610
≤ 402.035
≤ 397.480
> 386.405≤ 386.405
> 370.245≤ 370.245
> 366.360≤ 366.360
= A RT= FRT= HRT
≤ 364.390
= OAM 0331
= ME RI20100611085358
> 10.880
> 217.805
≤ 217.805
= GN
> 85.825
= WLV
> 126.665
> 144.525
> 144.575
> 217.620
≤ 217.620
> 181.835
> 215.860
= False
> 216.145≤ 216.145
≤ 215.860
= Fals e
> 182.535
> 182.830≤ 182.830
≤ 182.535
≤ 181.835
= False
> 165.780
> 165.915
> 181.775≤ 181.775
≤ 165.915
≤ 165.780
> 163.925≤ 163.925
> 163.385≤ 163.385
≤ 144.575
≤ 144.525
= False
> 133.705≤ 133.705
> 131.505≤ 131.505
> 128.135≤ 128.135
> 127.875≤ 127.875
≤ 126.665
= False
> 123.405
> 123.725
> 125.255
> 125.730≤ 125.730
≤ 125.255
> 124.320≤ 124.320
> 123.985≤ 123.985
> 123.795≤ 123.795
≤ 123.725
≤ 123.405
> 120.145≤ 120.145
> 85.855
> 87.480
> 87.870
> 88.860
> 89.930≤ 89.930
≤ 88.860
≤ 87.870
≤ 87.480
> 86.505≤ 86.505
= AHRT= HRT
≤ 85.855
≤ 85.825
= Fals e
> 12.295
> 36.960
> 37.685≤ 37.685
= WLV
> 37.065
> 37.480≤ 37.480
> 37.420≤ 37.420
≤ 37.065
≤ 36.960
= WLV
> 17.885 ≤ 17.885
> 13.775
> 14.505≤ 14.505
> 14.360
> 14.395≤ 14.395
≤ 14.360
> 14.075≤ 14.075
= AHRT= HRT
≤ 13.775
> 13.140≤ 13.140
> 13.115≤ 13.115
≤ 12.295
= WLV
= A HRT= ART= DFRT= FRT
> 11.600≤ 11.600
= HRT
> 11.805
> 12.155≤ 12.155
> 11.855
> 11.930
> 11.995≤ 11.995
≤ 11.930
≤ 11.855
≤ 11.805
> 11.030
> 11.145
> 11.495≤ 11.495
> 11.440≤ 11.440
≤ 11.145
≤ 11.030
≤ 10.880
= WLV
> 0.750
> 2.025
> 7.130
> 7.645
> 7.710
= GN
> 9.275
= AHRT
= False
> 9.740≤ 9.740
= ART= DFRT= FHRT= FRT= HRT
= False
> 9.810
> 9.940≤ 9.940
≤ 9.810
≤ 9.275
= False
> 9.240≤ 9.240
> 9.185≤ 9.185
> 7.965≤ 7.965
≤ 7.710
≤ 7.645
= GN
> 7.530≤ 7.530
> 7.445≤ 7.445
≤ 7.130
= GN
> 5.155
> 6.255
≤ 6.255
= Fals e
> 6.235
≤ 6.235
> 6.105
> 6.155
= A HRT= HRT
≤ 6.155
≤ 6.105
> 5.665
> 5.770
> 5.815≤ 5.815
≤ 5.770
≤ 5.665
≤ 5.155
= False
> 2.625
> 2.855
> 2.940
> 3.015≤ 3.015
≤ 2.940
≤ 2.855
≤ 2.625
≤ 2.025
= G N
> 0.975
> 1.265
> 1.975
≤ 1.975
= Fals e
> 1.875
≤ 1.875
> 1.865≤ 1.865
> 1.685≤ 1.685
> 1.590
> 1.625≤ 1.625
≤ 1.590
≤ 1.265
= A HRT= ART= DFRT= DHRT= FRT= HRT
> 1.035
= False
> 1.155
> 1.255≤ 1.255
≤ 1.155
> 1.125≤ 1.125
≤ 1.035
≤ 0.975
= Fals e
> 0.855≤ 0.855
> 0.845≤ 0.845
≤ 0.750
= GN
> 0.470
> 0.595
≤ 0.595
= AH= AHRT= AHT= ART
= DFRT= HRT
≤ 0.470
= Fals e
> -1004.180
> -34.190
> -0.695
> 0.380
= A HRT= A RT
= HRT
≤ 0.380
> 0.285
> 0.325
> 0.350≤ 0.350
≤ 0.325
≤ 0.285
> 0.145
> 0.185
> 0.215≤ 0.215
≤ 0.185
≤ 0.145
= A HRT= ART
= AT= DFRT
= DRT= HRT
> 0.015≤ 0.015
= HT
≤ -0.695
= AHRT
> -8.195≤ - 8.195
= ART= HRT
> -0.935≤ - 0.935
≤ - 34.190
> -199.675
≤ -199.675
= A HRT
> -379.405≤ - 379.405
= HRT
≤ -1004.180
= WTK0331
= WLV
> 278.815
> 362.575
≤ 362.575
= MERI20100611085358
> 282.775
> 328.270
> 336.735
> 343.785
> 360.700≤ 360.700
≤ 343.785
= AHRT
= G N
> 338.870≤ 338.870
= ART
≤ 336.735
≤ 328.270
= GN
> 326.970
≤ 326.970
= Fals e
> 325.465
≤ 325.465
> 317.225
> 322.045
> 323.580≤ 323.580
≤ 322.045
≤ 317.225
> 299.410
> 304.830
> 313.140
> 315.035≤ 315.035
≤ 313.140
≤ 304.830
≤ 299.410
> 297.170
≤ 297.170
> 295.365≤ 295.365
≤ 282.775
= GN
> 280.475≤ 280.475
≤ 278.815 = ME RI20100611085358
> 0.075
> 10.250
> 16.880
> 90.720
> 192.730
= GN
> 194.520
= Fals e
> 272.980
≤ 272.980
> 271.270
≤ 271.270
> 243.240
= A HRT= A RT= FRT
= HRT
≤ 243.240
≤ 194.520
≤ 192.730
≤ 90.720= GN
> 42.085
> 51.510
> 73.775
= False
> 73.905
> 90≤ 90
≤ 73.905
≤ 73.775
≤ 51.510
= Fals e
> 47.985
= AHRT
> 50.580≤ 50.580
= FRT
= HRT
> 50.930≤ 50.930
≤ 47.985
> 46.375
≤ 46.375
> 44.390
> 44.765≤ 44.765
≤ 44.390
≤ 42.085
= False
> 31.260
> 39.580
≤ 39.580
> 39.465≤ 39.465
≤ 31.260
≤ 16.880
= G N
> 15.075
> 15.400
> 16.045
≤ 16.045
= False
> 15.865
≤ 15.865
> 15.530
> 15.635≤ 15.635
≤ 15.530
≤ 15.400
≤ 15.075= False
> 10.390
> 14.035
≤ 14.035
> 13.840
≤ 13.840
> 11.465
≤ 11.465
= AHRT= ART= HRT
≤ 10.390≤ 10.250
≤ 0.075
= GN
> -0.725
≤ -0.725 = Fals e
> -12.935
≤ -12.935
> -19.170
≤ -19.170
> -392.310
≤ - 392.310 = A HRT
> -427.990
≤ - 427.990 > -502.850≤ -502.850
= HRTp_Total
p_LossCategoryCode
p_Total
p_Total
p_Prof
p_Total
p_Totalrange1 [-∞ - 4.500]
P_GXP Differencerange1 [-∞ - 4.500]range2 [4.500 - ∞]range2 [4.500 - ∞]
P_GXP
p_Batch
p_Total
p_Total
Differencep_Conn
p_Total p_DedicatedNSPFlagp_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Totalrange1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
Difference p_Total range1 [-∞ - 4.500]range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
p_Total range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
p_Total
Difference p_Totalrange2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
p_Totalrange2 [4.500 - ∞]
range1 [-∞ - 4.500]p_Total p_Total
p_Totalrange2 [4.500 - ∞]
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
p_Total
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
Difference
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
Difference
p_Conn
p_Total range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Totalrange1 [-∞ - 4.500]
p_Total
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
p_Conn
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Total p_Total
Difference
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Batch
p_Total
p_Total
p_Total
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Conn
p_Total
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
P_GXP
p_Prof
p_Total
p_TotalDifference
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
p_Batch
p_Total
range1 [-∞ - 4.500]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Batch
p_Totalp_Total
p_Total
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Conn
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
range2 [4.500 - ∞ ]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Batch
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
Difference
p_Total
p_Conn
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Conn
p_Total
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Conn
p_Total
Difference
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞ ]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]p_Prof
p_Total
p_Batch
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
p_Prof
p_Total
range1 [-∞ - 4.500]Difference
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Prof
Difference
range1 [-∞ - 4.500]p_Batch
p_Total
p_Total
range2 [4.500 - ∞]p_Conn
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
range2 [4.500 - ∞]p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Prof
p_Total
p_Batch
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Batch
p_Total
p_Total
p_Total
p_Total
p_Conn
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
p_Conn
p_Total
range1 [-∞ - 4.500]p_Total
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
Difference
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Prof
P_GXP
p_Batch
p_Total
p_Conn
p_Total
p_Total
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range2 [4.500 - ∞]
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Conn
p_Total
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
p_Batch
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Conn
p_Total
p_Total
range2 [4.500 - ∞ ]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Batch
p_Total
range1 [-∞ - 4.500]
p_Total
p_Conn
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range2 [4.500 - ∞ ]
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Prof
p_Total
p_LossCategoryCode
P_GXP
p_Batchp_Total
p_Total
p_Total
p_Conn
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
range1 [-∞ - 4.500]
Difference
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range2 [4.500 - ∞ ]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
Difference
p_Total
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
Difference
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Totalrange1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Totalrange2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_Total
p_Total
p_Totalp_Totalp_DedicatedNSPFlagp_Total
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_TotalDifference
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
p_Totalp_Totalrange1 [-∞ - 4.500]
range2 [4.500 - ∞]range1 [-∞ - 4.500]
Difference
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Totalrange1 [-∞ - 4.500]
range2 [4.500 - ∞] range2 [4.500 - ∞]
range1 [-∞ - 4.500] p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Totalrange1 [-∞ - 4.500]
p_TotalDifferencep_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞] range1 [-∞ - 4.500]
range2 [4.500 - ∞ ] range1 [-∞ - 4.500] p_Total
range2 [4.500 - ∞]
p_TotalDifference
p_Total
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_TotalDifference
range1 [-∞ - 4.500]
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Totalp_Total
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
Difference
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
p_Totalp_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]Difference
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Totalp_Total
p_Total
p_Batch
p_Total
p_Total
p_Total
p_Total
p_Conn
p_Total
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
Difference
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Conn
p_Total
range1 [-∞ - 4.500]Difference
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
Difference
p_Conn
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
p_Batch
p_Total
range1 [-∞ - 4.500]p_Conn
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Batch
p_Total
Difference
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_Total
p_Total
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞ ]
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range2 [4.500 - ∞]
Difference
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range2 [4.500 - ∞]
P_GXP
p_Batch
p_Total
p_Total
range1 [-∞ - 4.500]
p_Conn
p_Total
p_LossCategoryCode
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]p_Total
range1 [-∞ - 4.500]p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500] p_Total
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]Difference
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞ ]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]p_LossCategoryCode
p_Total
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_LossCategoryCode
p_Total
range1 [-∞ - 4.500]p_Total
p_Total
range1 [-∞ - 4.500]p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]Difference
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
p_LossCategoryCode
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Total
p_Total
range2 [4.500 - ∞]p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_LossCategoryCode
p_Total
p_Total
p_Total
p_Total
p_Total
p_Conn
p_Total
Difference
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]range1 [-∞ - 4.500]range1 [-∞ - 4.500]p_DedicatedNSPFlag
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Conn
p_Total
range2 [4.500 - ∞]p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_Total
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞ ]
p_Total
p_Total
Difference
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Conn
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
range2 [4.500 - ∞ ]range2 [4.500 - ∞]
range2 [4.500 - ∞ ]range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
p_Conn
p_Total
p_Total
range1 [-∞ - 4.500]
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
p_Total
p_Total
Difference
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
Difference
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range1 [-∞ - 4.500]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
Difference
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Total
range1 [-∞ - 4.500]
Difference
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range2 [4.500 - ∞]
p_LossCategoryCode
p_Total
p_Total
range1 [-∞ - 4.500]
p_Batch
p_Total
p_Total
p_Total
p_Total
p_Total
range2 [4.500 - ∞]range1 [-∞ - 4.500]
Difference
p_Conn
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Conn
p_Total
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
range2 [4.500 - ∞ ]
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Total
p_Total
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
p_Conn
p_Total
range2 [4.500 - ∞ ]range1 [-∞ - 4.500]
p_Batch
p_Total
p_Total
p_Total
p_Total
p_Total
p_Conn
p_Total
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
Difference
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Conn
p_Total
p_Total
p_Total
p_DedicatedNSPFlag
p_Total
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
Difference
p_Total
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_DedicatedNSPFlag
p_Total
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
range1 [-∞ - 4.500]
p_Conn
p_Total
p_Total
p_Total
range2 [4.500 - ∞]
p_DedicatedNSPFlag
p_Total
range1 [-∞ - 4.500]
p_Total
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
p_DedicatedNSPFlagp_Total
p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞ ]
p_Total
range1 [-∞ - 4.500]
Difference
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
range2 [4.500 - ∞]
range1 [-∞ - 4.500]
p_Conn p_Total
range1 [-∞ - 4.500]
p_DedicatedNSPFlag p_Total
range1 [-∞ - 4.500]
p_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
Differencep_Total
range2 [4.500 - ∞]
p_Total
range1 [-∞ - 4.500]
range2 [4.500 - ∞ ]
range1 [-∞ - 4.500]
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 31
Drilling Down to the Next Level – Game-Changing Analytics: Use Customer Insight and Foresight to Change Customer Behaviour
REVENUESCOSTS
PARTNERS RELATIONS
KEY RESOURCES
ACTIVITIES OFFER CUSTOMER SEGMENTS
CHANNELS
Which customer Which customer segments are segments are
most adaptable most adaptable to change? to change?
How can we use How can we use new services & new services &
technologies to help technologies to help our customers our customers
change ? change ?
How can we How can we minimize costs & minimize costs & optimize profits to optimize profits to
maximize customer maximize customer lifetime value?lifetime value?
Can we satisfy the Can we satisfy the other customer other customer
needs we’ve needs we’ve identified or identified or partner with partner with
others to do so?others to do so?
Can we increase Can we increase customer customer
responsiveness responsiveness with better with better
channel channel integration? integration?
Are our activities Are our activities consistent with, consistent with,
and do they and do they enhance our enhance our
customer value customer value proposition?proposition?
What level of What level of personalization is personalization is required to change required to change
customer behavior?customer behavior?
Which partners will Which partners will grow and leverage grow and leverage our customer value our customer value
proposition?proposition?
What resources What resources could be better and could be better and
more cheaply more cheaply supplied by our supplied by our
partners?partners?
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 32
7
REVENUESSTREAMS
REVENUESSTREAMS
COSTSSTRUCTURE
COSTSSTRUCTURE
CORECAPABILI-
TIES
CORECAPABILI-
TIES
VALUECONFIG-URATION
VALUECONFIG-URATION
PARTNERNETWORKPARTNERNETWORK
CUSTOMERRELATIONSCUSTOMERRELATIONS
VALUEPROPOSI-
TION
VALUEPROPOSI-
TION
TARGETCUSTOMERSEGMENTS
TARGETCUSTOMERSEGMENTS
DELIVERYCHANNELSDELIVERYCHANNELS
REVENUESSTREAMS
REVENUESSTREAMS
COSTSSTRUCTURE
COSTSSTRUCTURE
CORECAPABILI-
TIES
CORECAPABILI-
TIES
VALUECONFIG-URATION
VALUECONFIG-URATION
PARTNERNETWORKPARTNERNETWORK
CUSTOMERRELATIONSCUSTOMERRELATIONS
VALUEPROPOSI-
TION
VALUEPROPOSI-
TION
TARGETCUSTOMERSEGMENTS
TARGETCUSTOMERSEGMENTS
DELIVERYCHANNELSDELIVERYCHANNELS
Linking Opportunities
4 5
6
910
4
5
6 8
9
10
Process Process weaknessesweaknesses
Industry / Market Industry / Market Structural changesStructural changes
HighHigh--growth growth areasareas
Converging Converging technologiestechnologies
Demographic Demographic changeschanges
New New knowledgeknowledge
Perception Perception changeschanges
7
1 1
1
Unexpected Unexpected successessuccesses
1
1
2
2
Unexpected Unexpected failuresfailures
2
2
2
2 2
2
2
2
3
3
Unexpected Unexpected external eventsexternal events
3
3
3 10
10
5
5
3 10
7
7
9
8 1
3
10
10
7
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 33
Electric Utilities require Game-Changing Analytics to Break Free from the Vicious Cycle of Squeezed Margins and Inflated Costs
Predictive Models
Business Intelligence
(BI)
Raw Data
E.G. E.G. LoggingLogging
CustomerCustomerCallCall
Standard Reports
E.G. E.G. PanoramaPanorama
SalesSalesRecordedRecorded
Descriptive Models
E.G. E.G. PerformancePerformance
MeasureMeasureAlignmentAlignmentwith KPIswith KPIs
Ad hoc Reports & OLAP
E.G. E.G. Crystal Crystal Reports Reports compiledcompiled
Data Information Knowledge Intelligence
$ ROI
Pow
er o
f Inf
orm
atio
n
REPORTING:
What Happened?
ANALYSIS:
Why Did It Happen?
MONITORING:
What’s Happening
Now?
PREDICTION:
What Might Happen?
Game-Changing Models
LEADING AND DIRECTING:
How Can We Change What Will Happen?
Game-Changing Analytics for Building Uncontested Business Models
© Design for Innovation Ltd, 2008-10 34
ACQUIRE ACQUIRE profitable profitable
CUSTOMERSCUSTOMERS
1. GET CUSTOMERS1. GET CUSTOMERS
RETAIN RETAIN profitableprofitable
CUSTOMERSCUSTOMERSWIN BACKWIN BACK
profitableprofitableCUSTOMERSCUSTOMERS
ELIMINATEELIMINATEUnprofitableUnprofitable
CUSTOMERSCUSTOMERS
2. KEEP CUSTOMERS2. KEEP CUSTOMERS
Upsell Upsell ADDITIONALADDITIONALPRODUCTSPRODUCTSCross-sellCross-sellOTHER OTHER PRODUCTSPRODUCTSReferral Referral BENEFITSBENEFITSReduce Reduce SERVICE &SERVICE &OPERATIONAL COSTSOPERATIONAL COSTS
3. GROW CUSTOMERS3. GROW CUSTOMERS
Focus on Outcomes
INFLUENCE AND MODIFYMODIFY BEHAVIOUR
Game-Changing Analytics for Building Uncontested Business Models
For further information contact:
Dr. Iain Sanders
Skype: iain.designforinnovation.comEmail: [email protected]
Web: http://www.designforinnovation.comWeb: http://www.gamechanginganalytics.com
© Design for Innovation Ltd, 2008-10 35
Game-Changing Analytics for Building Uncontested Business Models
