如何计算直到@AsOfDate 的两个日期之间的已赚保费,并在 DAX 中按月细分 [英] How to calculate Earned Premium between two dates till @AsOfDate and break it down by each month in DAX
问题描述
我对具有 TransactionEffectiveDate
和 TransactionExpirationDate
的策略有 Premium.
有什么方法可以在 DAX 中编写查询,将每个保费金额按这两个日期之间的月份细分.
@AsOfDate 参数将是保单停止获利的日期.
例如:
PolicyNumber WIC1000158-00
保费为 $82,913和 TransactionEffectiveDate 1/5/2018
和 TransactionExpirationDate 1/5/2019.
这为我们提供了总共 365 天的保单有效期.
让我们看看截至 '06/29/2018' 我们赚了多少钱
所以 82,913 的保费应该按 12 个月细分:
所以对于第一个保单月,我们只有 27 天
所以 82,913/365 * 27 = 6,133.29 - 这就是第一个月的收入.
以此类推,直到 @AsOfDate
.
结果应该是@AsOfDate = '6/29/2018'
:
虽然我只需要列YearNum
,MonthNum
,Qtr
,EarnedPremium
我可以用 SQL 编写它,但是有什么方法可以在 DAX 中实现这一目标?
.pbix 文件在这里可用:
SQL 的结果:
如您所见,2013 年 4 月有 26 天.
这就是我在 SQL 中的做法,如果有帮助的话.(可以在 SSMS 中运行)
声明@PlazaInsuranceWPDataSet 表(PolicyNumber varchar(50),TransactionEffectiveDate 日期时间,TransactionExpirationDate 日期时间,书面保费)插入@PlazaInsuranceWPDataSet 值('PACA1000101-00'、'2012-04-27'、'2013-04-27'、6630.00),('PACA1000101-00', '2012-04-27','2013-04-27',1600.00 ),('PACA1000101-00', '2012-04-27','2013-04-27',490.00),('PACA1000101-00', '2012-04-27','2013-04-27',-77.00 ),('PACA1000101-00', '2012-04-27','2013-04-27',1925.00 );WITH Earned_to_date AS (选择演员('2019-06-30' AS DATE)作为 Earned_to_date), policy_data AS (选择保单号码, Cast(TransactionEffectiveDate AS DATE) AS TransactionEffectiveDate, Cast(TransactionExpirationDate AS DATE) AS TransactionExpirationDate, 书面溢价来自@PlazaInsuranceWPDataSet), 数字 AS (选择数字从 (值 (0), (1), (2), (3), (4), (5), (6), (7), (8), (9)) AS z2(数字)), 数字 AS (选择 1000 * d4.digit + 100 * d3.digit + 10 * d2.digit + d1.digit AS 号码从数字作为 d1交叉连接数字作为 d2CROSS JOIN 数字 AS d3CROSS JOIN 数字 AS d4), 日历 AS (选择DateAdd(month, number, '1753-01-01') AS month_of, DateAdd(month, number, '1753-02-01') AS month_after从数字), policy_dates AS (选择保单号码, 案件当month_of <时TransactionEffectiveDate THEN TransactionEffectiveDateELSE month_of结束为 StartRiskMonth, 案件WHEN TransactionExpirationDate
<小时>
更新!
亚历克西斯,
我在日历表中修改了EoMonth" EOMONTH([Month], 0)+1
--add + 1
在CrossTabel "DaysInMonth", [EndRiskMonth] - [StartRiskMonth],
--took off 1
对于赚取的溢价
"EarnedPremium", [Premium] *DIVIDE([EndRiskMonth] - [StartRiskMonth] , [End] - [Start])) --起飞1.
结果现在如下所示:
你应该能够使用一些 SUMMARIZE
、ADDCOLUMNS
和 SELECTCOLUMNS
函数.
首先,按照以下几行创建一个 'Calendar'
表:
日历 = SUMMARIZE(添加列(日历自动(),"月", EOMONTH([日期], - 1) + 1),[月],"EoMonth", EOMONTH([月], 0))
然后你可以像这样交叉加入这个表和你的 fact_Losses
表:
交叉表 =VAR 交叉表 =交叉连接(总结(fact_Losses,fact_Losses[PolicyNumber],"开始", MIN(fact_Losses[PolicyEffectiveDate]),"结束", MAX(fact_Losses[PolicyExpirationDate]),"溢价", SUM(fact_Losses[WrittenPremium])),'日历')VAR 风险期 =添加列(过滤器(交叉表,'日历'[EoMonth] >= [开始] &&'日历'[月] <= [结束]),"StartRiskMonth", IF([Start] > 'Calendar'[Month], [Start], 'Calendar'[Month]),"EndRiskMonth", IF([End] < 'Calendar'[EoMonth], [End], 'Calendar'[EoMonth]))返回选择列(风险期,"PolicyNumber", fact_Losses[PolicyNumber],"StartRiskMonth", [StartRiskMonth],"EndRiskMonth", [EndRiskMonth],"YearNum", YEAR('日历'[月]),"Qtr", ROUNDUP(MONTH('Calendar'[Month])/3, 0),"MonthNum", MONTH('日历'[月份]),书面溢价",[溢价],"DaysInMonth", [EndRiskMonth] - [StartRiskMonth] + 1,"EarnedPremium", [Premium] *DIVIDE([EndRiskMonth] - [StartRiskMonth] + 1, [End] - [Start]))
I have Premium for a policy with TransactionEffectiveDate
and TransactionExpirationDate
.
Is any way to write query in DAX that would take each premium amount and break it down by the month between those two dates.
The @AsOfDate parameter will be the date the policy stops Earning.
For Example:
PolicyNumber WIC1000158-00
has Premium of $82,913
and TransactionEffectiveDate 1/5/2018
and TransactionExpirationDate 1/5/2019.
which gives us total of 365 days of Policy life.
Let see how much we Earned till '06/29/2018'
So Premium of 82,913 should be broken down by 12 month:
So for the first Policy month we have only 27 days
So 82,913/365 * 27 = 6,133.29 -thats how much its been earned in the first month.
And so on until the @AsOfDate
.
The result should be like that with @AsOfDate = '6/29/2018'
:
Although I only need columns
YearNum
,
MonthNum
,
Qtr
,EarnedPremium
I was able to write it in SQL but Is any way to achieve that in DAX?
.pbix file is availabel here: https://www.dropbox.com/s/pbj61vsb20qbhzm/LossTriangleTest.pbix?dl=0
UPDATE!
Alexis, thank you very much. Its amazing what DAX can do with the numbers.
For some reason its always gives me a Earned Premium total slightly more than original Premium.
For example PolicyNumber 'PACA1000101-00' has total premium $10,568 but calculates Earned as $10,596. April 2013 gives slightly more.
I think some additional logic need to be implemented towards the last breakdown (EndRiskMonth).
(Result from Power BI. Sorry, its not sorted yet)
Result from SQL:
As you can see April 2013 has 26 days.
This is how I do it in SQL, if it help. (can be run in SSMS)
DECLARE @PlazaInsuranceWPDataSet TABLE (
PolicyNumber varchar(50),
TransactionEffectiveDate datetime,
TransactionExpirationDate datetime,
WrittenPremium money
)
INSERT INTO @PlazaInsuranceWPDataSet values ('PACA1000101-00', '2012-04-27','2013-04-27',6630.00 ),
('PACA1000101-00', '2012-04-27','2013-04-27',1600.00 ),
('PACA1000101-00', '2012-04-27','2013-04-27',490.00 ),
('PACA1000101-00', '2012-04-27','2013-04-27',-77.00 ),
('PACA1000101-00', '2012-04-27','2013-04-27',1925.00 )
; WITH Earned_to_date AS (
SELECT Cast('2019-06-30' AS DATE) AS Earned_to_date
), policy_data AS (
SELECT
PolicyNumber
, Cast(TransactionEffectiveDate AS DATE) AS TransactionEffectiveDate
, Cast(TransactionExpirationDate AS DATE) AS TransactionExpirationDate
, WrittenPremium
FROM @PlazaInsuranceWPDataSet
)
, digits AS (
SELECT digit
FROM (VALUES (0), (1), (2), (3), (4)
, (5), (6), (7), (8), (9)) AS z2 (digit)
), numbers AS (
SELECT 1000 * d4.digit + 100 * d3.digit + 10 * d2.digit + d1.digit AS number
FROM digits AS d1
CROSS JOIN digits AS d2
CROSS JOIN digits AS d3
CROSS JOIN digits AS d4
), calendar AS (
SELECT
DateAdd(month, number, '1753-01-01') AS month_of
, DateAdd(month, number, '1753-02-01') AS month_after
FROM numbers
), policy_dates AS (
SELECT
PolicyNumber
, CASE
WHEN month_of < TransactionEffectiveDate THEN TransactionEffectiveDate
ELSE month_of
END AS StartRiskMonth
, CASE
WHEN TransactionExpirationDate < month_after THEN TransactionExpirationDate
WHEN Earned_to_date.Earned_to_date < month_after THEN Earned_to_date
ELSE month_after
END AS EndRiskMonth
, DateDiff(day, TransactionEffectiveDate, TransactionExpirationDate) AS policy_days
, WrittenPremium
FROM policy_data
JOIN calendar
ON (policy_data.TransactionEffectiveDate < calendar.month_after
AND calendar.month_of < policy_data.TransactionExpirationDate)
CROSS JOIN Earned_to_date
WHERE month_of < Earned_to_date
)
SELECT PolicyNumber,
StartRiskMonth,
EndRiskMonth,
YEAR(StartRiskMonth) as YearNum,
MONTH(StartRiskMonth) as MonthNum,
DATEPART(qq, StartRiskMonth) AS Qtr,
policy_days,
sum(WrittenPremium) as WrittenPremium,
DateDiff(day, StartRiskMonth, EndRiskMonth) AS DaysInMonth,
sum(WrittenPremium * DateDiff(day, StartRiskMonth, EndRiskMonth) / NULLIF(policy_days,0)) as EarnedPremium
FROM policy_dates
GROUP BY PolicyNumber, StartRiskMonth, EndRiskMonth
, DateDiff(day, StartRiskMonth, EndRiskMonth),policy_days
ORDER BY PolicyNumber, StartRiskMonth
UPDATE!
Alexis,
I have modified "EoMonth" in Calendar table EOMONTH([Month], 0)+1
--added + 1
In a CrossTabel "DaysInMonth", [EndRiskMonth] - [StartRiskMonth],
--took off 1
And for Earned Premium
"EarnedPremium", [Premium] *
DIVIDE([EndRiskMonth] - [StartRiskMonth] , [End] - [Start])) --took off 1.
Result now looks like this:
You should be able to do this with some SUMMARIZE
, ADDCOLUMNS
, and SELECTCOLUMNS
functions.
First, create a 'Calendar'
table along these lines:
Calendar = SUMMARIZE(
ADDCOLUMNS(CALENDARAUTO(),
"Month", EOMONTH([Date], - 1) + 1),
[Month],
"EoMonth", EOMONTH([Month], 0))
Then you can cross-join this table with your fact_Losses
table like this:
CrossTable =
VAR CrossTables =
CROSSJOIN(
SUMMARIZE(fact_Losses,
fact_Losses[PolicyNumber],
"Start", MIN(fact_Losses[PolicyEffectiveDate]),
"End", MAX(fact_Losses[PolicyExpirationDate]),
"Premium", SUM(fact_Losses[WrittenPremium])),
'Calendar')
VAR RiskPeriods =
ADDCOLUMNS(
FILTER(CrossTables,
'Calendar'[EoMonth] >= [Start] && 'Calendar'[Month] <= [End]),
"StartRiskMonth", IF([Start] > 'Calendar'[Month], [Start], 'Calendar'[Month]),
"EndRiskMonth", IF([End] < 'Calendar'[EoMonth], [End], 'Calendar'[EoMonth]))
RETURN SELECTCOLUMNS(RiskPeriods,
"PolicyNumber", fact_Losses[PolicyNumber],
"StartRiskMonth", [StartRiskMonth],
"EndRiskMonth", [EndRiskMonth],
"YearNum", YEAR('Calendar'[Month]),
"Qtr", ROUNDUP(MONTH('Calendar'[Month])/3, 0),
"MonthNum", MONTH('Calendar'[Month]),
"WrittenPremium", [Premium],
"DaysInMonth", [EndRiskMonth] - [StartRiskMonth] + 1,
"EarnedPremium", [Premium] *
DIVIDE([EndRiskMonth] - [StartRiskMonth] + 1, [End] - [Start]))
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