Attached is a file that generates a sample dataset from which I want to forecast a value for column 'Parcel Count 2014' from tomorrow (30/10/2014) till the end of December (31/12/2014). The forecast should be based on values from column 'Parcel Count 2013' for the same Month.
View 9 RepliesI have two queries that give me the total sales amount for the current year, and the last year.
SELECT SUM([Sales (LCY)])
FROM [$Cust_ Ledger Entry] cle
LEFT OUTER JOIN dw.dim.FiscalDate fd
ON fd.CalendarDate = cle.[Posting Date]
WHERE [Customer No_] = '10135'
AND fd.CalendarYear = '2013'
[Code] ....
I would like to learn how to be able to make this a single query and end up with two columns and their summed up totals. Like it shows on the attached image.
This is my query without the columns I need:
SELECT
c.CustomerNumber
,c.Name
,c.ChainName
,c.PaymentTermsCode
,cle.CreditLimit AS 'CreditLimit'
,SUM(cle.Amount) AS 'Amount'
[Code] ....
Our business get orders through the week with the weekends (Fri & Sat) orders being higher than weekdays. Im wanting to graph this years data with last years and possible the years before but to compare days in such a way that the all the weekdays line up. so comparing 2015 week 1 with 2014 week 1 but with 03/01/2015 (Sat) lining up with 04/01/2014 (Sat) etc.
I'm looking for alternatives to adding or removing days from the dates to solve this issue, i have a date dimension table for the past 5 years that i can use to compare calendar week 201401 with calendar week 201501 but I am finding it a bit inflexable.
I have a table which can be downloaded from the link below. The table contains property Market Rent and period the new rent is applicable. I need to generate a report with parameter ( year and month) so when the user inputs year and month the associated market rent amount for that month is listed.
For example if the 1st market rent update was done in June 2014 ( $300) and the 2nd in Dec 2014 $(350), the property market rent from June to Nov should be $300 and from Dec 2014 till the next rent update $350. So if user inputs year 2014 and month August, the amount is $300 and if the user enters the year 2015 and month March amount is $350
[URL] ....
Below is the table with sample data
DECLARE @table TABLE ( PropCode INT ,PropStartDate DATE ,PropEndDate char(10) ,PropRentStartDate DATE ,PropRentEndDate DATE ,MarketRent INT)
INSERT INTO @table (PropCode,PropStartDate, PropEndDate,PropRentStartDate,PropRentEndDate, MarketRent) VALUES
(2718, '2013-01-30', 'NULL', '2012-11-29', '2013-07-21', 289.20) ,(2718, '2013-01-30', 'NULL', '2013-07-22', '2013-11-24', 289.20) ,(2718, '2013-01-30', 'NULL', '2013-11-25', '2014-06-14', 289.20) ,(2718, '2013-01-30', 'NULL', '2014-06-15', '2014-11-30', 299.18) ,(2718, '2013-01-30', 'NULL', '2014-12-01', '2015-01-02', 299.18) ,(2718, '2013-01-30', 'NULL', '2015-01-03', '2050-01-01', 310.00) ,(3901, '2014-05-27', 'NULL', '2014-06-09', '2014-11-30', 400.00) ,(3901, '2014-05-27', 'NULL', '2014-12-01', '2050-01-01', 400.00) ,(3960, '2014-10-31', 'NULL', '2014-11-05', '2016-11-05', 470.00)
Select * from @table
I have three tables: EMP (ID, NAME), EMPDATE (ID, STARTDATE, ENDDATE), YEAR(YEAR)
I would like to get the most recent date within a given year per each EMP? For example, EMPID 1 can be enrolled in many programs, each program has start end dates. I need to list the most recent date an employee was enrolled (max date between START AND END DATE which ever is most recent enrollment) for a given year. For example, for 2014 his/her most recent enrollment should be 10/23/2014 for year 2014 and 2013-10-24 for year 2013.
SELECT ID, EMP.NAME, DTE.StartDate, DTE.ENDDATE, year
FROM
EMP_DATE DTE join
EMP_INFO EMP on EMP.ID = DTE.ID join
YEAR YR on YR.YEAR = YEAR(DTE.STARTDATE)
DATA SAMPLE:
EMP
ID NAME
1 JOHN
EMP_INFO
ID STARTDATE ENDDATE
12013-10-24 2014-03-11
12014-06-13 2014-03-11
12014-06-15 2014-03-11
12014-09-08 2014-03-11
12014-09-12 2014-03-11
12014-09-14 2014-03-11
12014-01-13 2014-05-17
12014-05-14 2014-06-09
12014-06-10 2014-06-16
12014-08-31 2014-09-04
12014-09-05 2014-09-06
12014-09-07 2014-10-23
YEAR
Year
2012
2013
2014
2015
What's the best way to calculate a customers age and value by month and year?
I need to be able to calculate customer value by month and year, and then to calculate their age at each month in time. I've found a way of grouping sales by month and year that includes age for a particular contact like this:
select fh.contact_number
, concat(year(fh.transaction_date), '-', month(fh.transaction_date)) as transaction_month_year
, cast(fh.transaction_date as date) as transaction_date
, sum(fh.amount) as ttl_amount_in_month
[Code] .....
It seems to work, but any better way to achieve this?
I need to create a table which holds date information for our financial year.
I have all the dates between now and 2045 and the start of the week and the end of the week. What I also have is the first sunday of the previous week in the spreadsheet too.
Please see below attachment
What I need to autofill once I import these three dates into a database is the week and the month.
The difficulty surrounding the month is that, we start a new month on the FIRST Sunday of the month.
So dates 07/04/14 to 04/05/2014 would be month 1.
Month 2 would begin on 05/05/2014 as it is the day after the first Sunday of the month, and so on....Month 5 would start on the 04/08/14.
Need to script something that would automatically calculate the week and month for me on the basis on above, if I have the start date, end date and 1st sunday already in a table?
This is what I have for a query but i would like to take the year off. is there a way i can just have the month and day without the year attached?
View 3 Replies View RelatedIs there a way to show multiple metrics in 1 SQL pivot operator. Basically, I have the Table1 and want the desired results is the Table2 format.
Table1
ACCOUNTS YEARREVENUEMARGIN
ACCOUNT1 2012100 50
ACCOUNT1 2013104 52
ACCOUNT1 2014108 54
[code]....
I am trying to select records based on a year.
DECLARE @Date
SET @Date = 2012
DECLARE @Year int
SET @Year = (SELECT DATEPART(yyyy,@Date))
SELECT @Year AS Year
--SELECT *
-- FROM [Orders].[dbo].[Orders] od
-- WHERE .Orderl_Date < @Date;
----WHERE DATEPART(yyyy,@Date)= @Year
----WHERE DATEPART(yyyy,od.Order_Date)= @ArchiveYear
DECLARE @Date
SET @Date = 2012
DECLARE @Year int
SET @Year = (SELECT DATEPART(yyyy,@Date))
SELECT @Year AS Year
--SELECT *
-- FROM [Orders].[dbo].[Orders] od
-- WHERE .Orderl_Date < @Date;
----WHERE DATEPART(yyyy,@Date)= @Year
----WHERE DATEPART(yyyy,od.Order_Date)= @ArchiveYear
I have a table with Month , Year as varchar. I realized it was a big mistake. Since its getting too complicated to query this way.
Year Month Productname
2013 11 ACB
2013 11 CDE
I would now like to add another column called date and store these Year Month as a date to my existing table
Year Month ProductName Date
2013 11 ACB 2013-11-01
2013 11 CDE 2013-11-01
Is there a way I can do it for all the columns of the existing table ??
I need to build a report that compares a count on a certain day of the week by month by year by stacks. That is,for first Monday in October 2012 against first Monday in October 2013 for stack DM1 against first Monday in October 2014 stack DM1, same for second Monday, first Tuesday, second Tuesday, ect. Attached is a sample dataset and what I want to achieve.
View 9 Replies View RelatedI like to create an SQL view to divide amount 300,000 between 12 month starting from Month July 2014 to June 2015 as shown below
Amount Month Year
25,000 July 2014
25,000 August 2014
25,000 September 2014
25,000 October 2014
25,000 November 2014
25,000 December 2014
25,000 January 2015
25,000 February 2015
.
.
.
.
25,000 June 2015
What is the best way to forecastestimate space for non-clustered index on a table?
Example :
Table name : Test123
Row : 170000000
Reserved : 18000000 KB
Data : 70000000 KB
Index: 40000000 KB
Note: Test123 already has clustered index and 2 non clustered indexes.
I have some my below requirment to loading some last year and currnet year records for some ID's in my table,
We have to load the ID's that are active at the end of the year for the prior year and ID's that are active as of today for the current year.Here is the scenario when the ID is currently terminated but active at the end of the prior year and the record is not in the table.so, we didn’t load the count for the prior year
Here prior year is 2015-2015 and Current year is 2015-2016
CREATE TABLE remp_year
(ID INT,
STATUS NVARCHAR(100) NULL,
START_DATE DATE NULL,
END_DATE DATE NULL,
date_year nvarchar(10) NULL)INSERT INTO remp_year VALUES (10,'Active','2015-05-26','2015-12-31','2015-2016');
[Code] ...
Here ID 20 and 50 for terminated records is the prior year records so it should count for the last year and those are active in this year those will count for this year.
I have a table with 5000 rows history about working and retired time.
It is the several rows from table(User, StartDate, EndDate):
User1 2011-05-09 00:00 2014-01-17 00:00
User2 2012-07-01 00:00 2012-08-20 00:00
User2 2013-08-26 00:00 2013-09-02 00:00
User2 2013-10-07 00:00 NULL
User3 2013-09-01 00:00 2014-04-07 00:00
User3 2014-04-08 00:00 NULL
How many users have worked and have retired by years and months,
Example:
2011-01 working 2000
2011-02 retired -50
2011-02 working 1950
2011-02 retired -27
and etc,,
Does it need to join to a time dimension table?
I provide default values for parameters, but we need to wait for the user to click "View Report" before the report is run. It is an expensive report to run, and the user needs the defaults, but also needs to be able to change them before execution. I cannot find a setting for this. Is there a way to do this that does not involve adding dummy parameters? (that's too tacky a solution!)
View 4 Replies View RelatedI have a simple gridview that loads on page load. It uses an on page sqldatasource declaration in which there's a parameter in which value is already available in cookies. I added an asp:HiddenField and set that value on PageLoad() to the value of the cookies. I then set a FormParameter in the sqldatasource mapped to that hidden field. However that appears to have no effect at all. I'm guessing the sqldatasource will only use the form field after postback.
View 2 Replies View RelatedI have sales from 2010 to today in my cube. my question is i want to see sales amount from 2010 to 2014 if i select 2014. or if I select 201405 ( may 2014), i want to see sales from 20100101 to 20140531. same with date. basically i want to to al the sales til the date/month /year selected. how can i achieve this?
View 2 Replies View RelatedHi
I am new to Data mining in SQL Server. I am using SQL 2005 to create a forecast model for Product sales. I two fact tables that I am using. One has all the Orders historically with the line item details. The other table is a time dimension table which has the value of each of the time values referenced in the Orders. So the time dimesion has multiple values for one day as it goes down to the hour the order was placed.
Can I create a forecast using the time series algorithm in the Data mining module. When I tried to use this algorithm, I got an error that the time is not synchronized with starting series "Unknown" and I should try to set the missing_value_Substitution parameter to previous.
Can some one explain to me how this will resolve my issue. I read in one of the articles on Data mining that in order to use the time series algorithm , I need to have unique set of values for the time. Can some one help me with this
Thanks
AY
There is a huge empty space between my tablix which is inside a rectangle to the footer.
I need to be able to fit another row but the other rows go on to the second page. How can I fix this?
Using the TimeSeries algorithm, how do I forecast more than one time period ahead? I read in you book on page 182 that PredictTimeSeries function can take a parameter for the number of time periods you want to predict. Fore example, SELECT PredictTimeSeries(Bread,5) tells the algorithm to predict the next 5 time periods. Can you tell me how to change that parameter using the graphic interfaces?
Thanks!
I have few more clarification regarding time series.
Firstly
In my model the month level product sales value represented across 1st day of every month. So that the key time column is of datetime datatype containing a sequence of dates representing the 1st day of every month of the year.
Eg: 2006-01-01, 2006-02-01€¦€¦€¦. etc. all in (yy-mm-dd) format
But
when I make prediction for next five months, though it makes monthly
predictions the date part for the months are random whereas I expect
the date part to be 1st of every month. What is the reason for this and how can I overcome it.
Secondly
Predicted
sales values for some time period are negative though I do not have any
negative value in the training data. What is the reason for this and
how can I rectify it?
Thirdly
In
one of your earlier posts you had said that the time series algorithm
does not have any built in time intelligence but uses the key time
column as a time sequence stamp. So If have to make predictions for a
particular time period where the time slice for each time period is 25
days or 50 days etc, then I understand that the input data used to
train the model should be in the same time sequence.
Or
Can I specify the span of the time period according to which the prediction needs to be made?
Basically
how can I use the same time series model to make monthly, yearly,
quarterly, daily or predictions or for custom time period like I have
mentioned above.
I have the following script that calculates Sales by month and current year.
We run a Fiscal year from April 1st thru March 31st.
So April 2012 sales are considered Fiscal Year 2013.
Is there a way I can alter this script to get Fiscal Year Totals?
select ClassificationId, YEAR(inv_dt) as Year, cus_no,
isnull(sum(case when month(inv_dt) = 4 then salesamt end),0) as 'Apr',
isnull(sum(case when month(inv_dt) = 5 then salesamt end),0) as 'May',
isnull(sum(case when month(inv_dt) = 6 then salesamt end),0) as 'Jun',
isnull(sum(case when month(inv_dt) = 7 then salesamt end),0) as 'Jul',
[Code] ....
Data returned looks like the following.
ClassificationID Year Cus_no Apr May June ....
100 2012 100 $23 $30 $400
100 2013 100 $40 $45 $600
What I would need is anything greater than or equal to April to show in the next years row.
Background is that I am recreating charts in SSRS that were being created in Excel. The source data is residing in a SQL Server database. I'm having a hard time coming up with a SQL query to provide a 6 month forecast. I can get my data into a pivot (within a stored procedure) in the following format:
Period---------Date--------------------------------Percent
1--------------2013-11-01 00:00:00.000---------0.3762
2--------------2013-12-01 00:00:00.000---------0.3584
3--------------2014-01-01 00:00:00.000---------0.3604
4--------------2014-02-01 00:00:00.000---------0.3292
5--------------2014-03-01 00:00:00.000---------0.3519
[Code] ....
I need to forecast the next 6 dates 12/1/2014 thru 5/1/2015 using the last 6 months in the data set (periods 8 thru 13)
Period---------Date--------------------------------Percent-------Forecast
1--------------2013-11-01 00:00:00.000---------0.3762
2--------------2013-12-01 00:00:00.000---------0.3584
3--------------2014-01-01 00:00:00.000---------0.3604
4--------------2014-02-01 00:00:00.000---------0.3292
5--------------2014-03-01 00:00:00.000---------0.3519
6--------------2014-04-01 00:00:00.000---------0.4064
[code].....
how to use the first table to generate the forecast values in the second table.
I'm trying to generate a report using matrix like this
                           Month
Product   PreviousYearSalesAmount   SelectedYearSalesAmount    %SalesDifference
I can populate year sales amount, but i cant calculate the percentage.
Note: Month and Year are passed as parameters.
I have three web form controls, a ddl that contains the day, another ddl that contains the month and a textbox that contains the current year. To send the date chosen by the user to the database, I join the three web form control values so that the resultant string is ‘day/month/year’ thus:
CmdInsert.Parameters("@Date").Value = day.SelectedItem.Value + "/" + month.SelectedItem.Value + "/" + year.Text()
And the resultant string is: dd/mm/yyyy, for example 30/08/2004.
But the problem is if the user does not select any day or any day and month, then the resultant string is for example; 00/08/2004 or 00/00/2004, but the problem is the database does not accept this format as datetime. How can I do it?
I want the user has the possibility to chose as well only the month and year, and as well only the year. Is it possible to send to the database the datetime format with only the month and year, or only the year?
Thank you,
Cesar
Hi,
I have built a time series model to forecast sales value
I have data from jan 2004 to jan 2006 and the sales value is
at a day level in my database. But I am aggregating it to month level in the
DSV of the mining model.
I am required to make only historical predictions using the
above model starting form jan 2004 to jan 2006 for every month.
I have set Historical_Model_Count
and Historical_Model_Gap parameter
values to 24 and 10 respectively, and trying to predict for the past few months
(PredictTImeseries(SalesValue,-1,1))
But its throwing me the following error
Error(Data Mining): A time series
prediction was requested with a start time further in the past than the
internal models of the mining model, Sales Forecast, specified in the
HISTORIC_MODEL_GAP and HISTORIC_MODEL_COUNT parameters can process
In fact it throws the above error irrespective of what the Historical_Model_Count and Historical_Model_Gap parameter values
are
I am not able to figure our why this problem is happening?
What should the parameter values for the above scenario?
It would also be helpful if I can get an explanation on how
these two parameters affect the historical predictions. I kind of understand
that these two parameters are important for historical predictions but don€™t
know why or how.
I have a result set that looks like this:
Code Block
Quarter
Year
EstimatedValue
ClosePercent
EstimatedCloseDate
4
2007
100000
50
12/31/07 5:00 AM
4
2007
20000
50
11/30/07 5:00 AM
4
2007
20000
90
10/30/07 5:00 AM
1
2008
278000
50
3/31/08 5:00 AM
4
2007
200000
50
11/30/07 5:00 AM
4
2007
225000
90
10/31/07 5:00 AM
4
2007
36500
90
10/31/07 5:00 AM
4
2007
80000
90
10/31/07 5:00 AM
4
2007
107200
90
10/31/07 5:00 AM
4
2007
225000
75
12/31/07 5:00 AM
4
2007
35000
50
12/31/07 5:00 AM
I have create a simple tabular rolling forecast report (with cumulative totals) from today (October) thru the next 12 months that looks like this. It smartly works no matter when the report is generated, by starting with this CurrentMonth and moving forward by using 1,2,3,4,etc. in the dateadd: =MonthName(datepart("m",dateadd("m",1,Now())))
The report sample (formatting lost in dropping it in here):
Code Block
Close Pct
October
November
December
January
February
25.%
$0
$0
$26,625
$0
$0
50.%
$237,500
$110,000
$262,500
$0
$0
75.%
$56,250
$0
$891,075
$0
$0
90.%
$1,051,830
$0
$0
$0
$0
Monthly Total
$1,345,580
$110,000
$1,180,200
$0
$0
Cumulative Total
$1,345,580
$1,455,580
$2,635,780
$2,635,780
$2,635,780
It is working fine....there doesn't seem to be anything wrong with it (all numbers total correctly, etc.), but it is very unelegant.....and I know there must be a better way.
In the righthand most month (which would be September 2008) column, I have a formula that produces the amount (the Monthly Total amount is the same):
Code Block=sum(iif(datepart("m",dateadd("m",11,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0)))
and for the Cumulative Total Amount it gets really hideous, as it is trying to add up all of the totals across the board:
Code Block
=sum(iif(datepart("m",dateadd("m",0,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",1,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",2,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",3,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",4,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",5,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",6,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",7,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",8,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",9,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",10,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0))+iif(datepart("m",dateadd("m",11,Now()))=datepart("m",Fields!EstimatedCloseDate.Value),Cdec(Fields!estimatedvalue.Value*Fields!ClosePct.Value*.01),cdec(0)))
I have searched high and low for examples of reports that do something similar.
Can anyone offer any advice?
Thanks.
Hello...
I am new to SSAS and i want to try to build a "Sales" model. I will have some "Usage" data for some timespanns, but I am not quite sure how to tackle this. Is there somewhere a "Howto" for this?
Edit: There are several locations, and for each location a forecast is needed. And the Icing would be If I would be able to tell where my supplies must go 1st to achieve the best sales...
The potential Client wants to use Oracle but I would like to show them that SQL Server is the better tool for this ;)
I'm using PHP with SQLServer2k to create a page containing monthly counts of episodes at a facility occurring between two user selected month/year combinations. For instance, the user could select 10/2003 and 2/2004 and facility X and get a line for each month showing the count of episodes occuring in that month.
The problem is that the episode date is stored in three integer fields (epiday, epimonth, epiyear) and I'm having a terrible time getting them into a format where I can use them in a between statement.
I've tried evaluating the parts of the episode date seperately like:
where
(epimonth>=10 and epiyear=2003)
or
(epimonth<=2 and epiyear=2004)
and that works, but what happens when someone wants to see from 10/2002 to 2/2004?
Any suggestions on the best way to do this?
We have customers who are new to this year (2014) and there same customers in last year (2013). also there are customers we have not received business this year but only last year. so there are 4 conditions.
1) New customer (2014) - Customer(B)
2) Old Regular customer (2013 and 2014) - Customer(A)
3) Last Year (Lost) customer (2013) - Customer(C), no business received in year(2014)
For example we have a transaction table:
TransactionId, ReceivedDate, Customer
1, 2-Dec-2013, A
2, 3-Jan-2014, A
3, 2-Mar-2014, B
4, 25-Nov-2013, C
I want results like
Customer, Business (this year activity/last year activity)
A, 1/1
B, 1/0
C, 0/1
How can i show this for each year? I used to separate it month wise as below but it does not return applying year with each customer anyhow...
select t.customerId, YEAR(Receiveddate),
sum(case month(ReceivedDate) when 1 then 1 else 0 end )as Jan,
sum(case month(ReceivedDate) when 2 then 1 else 0 end )as Feb,
sum(case month(ReceivedDate) when 3 then 1 else 0 end )as Mar,
sum(case month(ReceivedDate) when 4 then 1 else 0 end )as Apr,
[Code] ....