12 Month Moving Average and 12 months rolling average

Hi All,
please let me know what is difference 12 Month Moving Average and 12 months rolling average
can i get 1 example to achieve the solution

Hey suneel,
Both average are more or less same, for better understanding. go through below link, where you can get some clarifications.
http://www.brighthubpm.com/project-planning/111351-guide-to-computing-rolling-averages-for-business-forecasts/

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How can I create a view of top five teams averages based on individual averages of that team?

I have created a list that groups teams by their Team name (Team column) with the individuals members (participants column) averages and their team average (total average view option). I want to only display the top five teams that have the overall
top team averages. I have a list that contains a team name, average minutes, week, and participant. The team manager plugs in each week a new entry for each participant on the team. I have a view that computes each team average but I want a view
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out a solution?

A calculated column won't work because a calculated column can only reference the individual item, not the entire list or a subset.
You could do javascript to build this, but to me it's easier to just use Excel.
Andy Wessendorf | Solution Foundry [email protected]

12 Months Rolling Average

Hello,
I am trying to calculate Rolling Average for 12 months. I followed below link and it works perfect.
BOBJ Tricks: Moving Average in Webi
However, my requirement is slightly different. I want to calculate even when there is not data.
Attaching the screen shots. Is there a way possible we can do something to achieve?
Regards

Hi Ajoy,
You mentioned all values of meaure/4 means you are dividing the measure value/total no of reading days?
what is that measure?
and you are calculationg previous(monthly av),what are you expecting from this calculation?
suppose see the below example.
Example
RunningSum([Revenue]) returns these results in the following table:
RunningSum([Revenue];([Country])) returns these results in the following table:
In your case try to use SERVERNAME,Month/year,week(You have readings per week right?)
try using runningsum(measure) or runningsum(previous(measure))

OBIEE 12 months rolling average

Hi,
I have a report requirement where i want to see 12 months rolling average for measure.
Report filter: Year, Period
Ex: If i select Month and Year Sept 2013 is given as filter, it should pull data from Oct 2012 to Sept 2013 and divide it by 12.
Please let us know the thoughts
Thanks in advacne.

hi,
A general procedure hierarchy you can use.
Create a hierarchy for time dimension, use time series function
ago("measure",level(12 months))
then make one logical column use this existed calculated column as sum and again make one more logical new column use the sum value column and divide it by 12.
Just gain the solution in RPD itself.
for more information visit here OBIEE -Time Series in OBIEE
Regards,
VG

Creating 6 month moving average key figure?

Hi-
I have a power user who needs to generate a "complaint rate". He needs to be able to divide the number of service notifications received in a month by a 6 month moving average of units shipped. In this same query he needs to show the complaint rate for the past 6 months. I am not a query writer...I only know the backend. But I am at a loss of how to select 6 months of data upon a load to calculate the 6 month moving average of units shipped. Any suggestions/ideas would be greatly appreciated. (Or is this a calculation that can be created in the query?)
Thanks!
-Jenn

Hi
I think this can be done in the Starting Routine of
the Upd rules.
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Average of monthly daily average adventureworks cube

I want to be able to create a calculated member which is the average of the monthly daily average. I have tried this using the adventureworks cube with the following MDX:
with Member Measures.DailyAverage AS
Avg ( EXISTING
{[Date].[Date].[Date].Members},
[Measures].[Internet Order Count]
Member MonthlyAverageOfDailyAverage AS
Avg ( EXISTING
{[Date].[Month of Year].Members},
Measures.DailyAverage
select {(DailyAverage),(MonthlyAverageOfDailyAverage)} on columns,
[Date].[Calendar Year].Members on rows
from [Adventure Works]
This doesn't yield the answer I am expecting, Looking just at year 2005, July has 146 internet orders, 31 days with orders, therefore a daily average of 4.709, August has a daily average of 5.2, September = 5.379, October = 5.2, November = 5.2 and December
= 5.032. I want the average of these daily averages which should be 5.120. The MDX above gives me 5.588. What should my calculated member be to get what I want? Thanks

Looking just at year 2005, July has 146 internet orders, 31 days with orders, therefore a daily average of 4.709, August has a daily average of 5.2, September = 5.379, October = 5.2, November = 5.2 and
December = 5.032. I want the average of these daily averages which should be 5.120. The MDX above gives me 5.588. What should my calculated member be to get what I want? Thanks
Hi,
Your calculations seems to be correct for July and August only:
with Member Measures.DailyAverage AS
Avg ( EXISTING
{[Date].[Date].[Date].Members},
[Measures].[Internet Order Count]
), format_String="##.000000"
select (DailyAverage) on 0,
[Date].[Calendar Year].&[2005] * [Date].[Calendar].[Month] on 1
from [Adventure Works]
The average is indeed : 5,5874675
Philip,

How to Compute the average six months of customer orders excluding the first orders

Hi all
I am writing some basic sql to generate some measures from a postgres database table that are going to be inserted into a SQL SErver table.
I have to two tasks where I am supposed to generate the average 6 months spend and average 1 year spend using the customer data but excluding the first time orders.
I have some sample data below:
CREATE TABLE orders
persistent_key_str character varying,
ord_id character varying(50),
ord_submitted_date date,
item_sku_id character varying(50),
item_extended_actual_price_amt numeric(18,2)
INSERT INTO orders VALUES ('01120736182','ORD6266073','2010-12-08','100856-01',39.90);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100265-01',49.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','200020-01',29.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100817-01',44.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200251-01',79.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200269-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD89332495','2012-12-05','200102-01',169.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','100907-01',89.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200840-01',129.99);
INSERT INTO orders VALUES('01120736182','ORD125155068','2013-07-27','201443-01',199.99);
INSERT INTO orders VALUES('01120736182','ORD167230815','2014-06-05','200141-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD174927624','2014-08-16','201395-01',89.99);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200021-01',29.99);
INSERT into orders values('01000217334','ORD95698491','2013-01-08','200021-01',19.99);
INSERT into orders values('01000217334','ORD90683621','2012-12-12','200021-01',29.990);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200560-01',29.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','200972-01',49.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','100436-01',39.99);
INSERT into orders values('01000217334','ORD90683374','2012-12-12','200284-01',39.99);
INSERT into orders values('01000217334','ORD139437285','2013-11-07','201794-01',134.99);
INSERT into orders values('01000827006','W02238550001','2010-06-11','HL 101077',349.000);
INSERT into orders values('01000827006','W01738200001','2009-12-10','EL 100310 BLK',119.96);
INSERT into orders values('01000954259','P00444170001','2009-12-03','PC 100455 BRN',389.99);
INSERT into orders values('01002319116','W02242430001','2010-06-12','TR 100966',35.99);
INSERT into orders values('01002319116','W02242430002','2010-06-12','EL 100985',99.99);
INSERT into orders values('01002319116','P00532470001','2010-05-04','HO 100482',49.99);
Using the data, this is what I have done:
SELECT q.ord_year, avg( item_extended_actual_price_amt )
FROM (
SELECT EXTRACT(YEAR FROM ord_submitted_date) as ord_year, persistent_key_str,
min(ord_submitted_date) as first_order_date
FROM ORDERS
GROUP BY ord_year, persistent_key_str
) q
JOIN ORDERS o
ON q.persistent_key_str = o.persistent_key_str and
q.ord_year = EXTRACT (year from o.ord_submitted_date) and
o.ord_submitted_date > q.first_order_date AND o.ord_submitted_date < q.first_order_date + INTERVAL ' 6 months'
GROUP BY q.ord_year
ORDER BY q.ord_year
Can someone help me look into my query and see whether I am doing it the right way.
Thanks,
Ion

This more looks like a mysql code. Please try posting the question in mysql forums
http://forums.mysql.com/
This is one way of doing this in T-SQL
CREATE TABLE orders
persistent_key_str varchar(100),
ord_id varchar(50),
ord_submitted_date date,
item_sku_id varchar(50),
item_extended_actual_price_amt numeric(18,2)
INSERT INTO orders VALUES ('01120736182','ORD6266073','2010-12-08','100856-01',39.90);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100265-01',49.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','200020-01',29.99);
INSERT INTO orders VALUES('01120736182','ORD33997609','2011-11-23','100817-01',44.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200251-01',79.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200269-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD89332495','2012-12-05','200102-01',169.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','100907-01',89.99);
INSERT INTO orders VALUES('01120736182','ORD89267964','2012-12-05','200840-01',129.99);
INSERT INTO orders VALUES('01120736182','ORD125155068','2013-07-27','201443-01',199.99);
INSERT INTO orders VALUES('01120736182','ORD167230815','2014-06-05','200141-01',59.99);
INSERT INTO orders VALUES('01011679971','ORD174927624','2014-08-16','201395-01',89.99);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200021-01',29.99);
INSERT into orders values('01000217334','ORD95698491','2013-01-08','200021-01',19.99);
INSERT into orders values('01000217334','ORD90683621','2012-12-12','200021-01',29.990);
INSERT into orders values('01000217334','ORD92524479','2012-12-20','200560-01',29.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','200972-01',49.99);
INSERT into orders values('01000217334','ORD145035525','2013-12-09','100436-01',39.99);
INSERT into orders values('01000217334','ORD90683374','2012-12-12','200284-01',39.99);
INSERT into orders values('01000217334','ORD139437285','2013-11-07','201794-01',134.99);
INSERT into orders values('01000827006','W02238550001','2010-06-11','HL 101077',349.000);
INSERT into orders values('01000827006','W01738200001','2009-12-10','EL 100310 BLK',119.96);
INSERT into orders values('01000954259','P00444170001','2009-12-03','PC 100455 BRN',389.99);
INSERT into orders values('01002319116','W02242430001','2010-06-12','TR 100966',35.99);
INSERT into orders values('01002319116','W02242430002','2010-06-12','EL 100985',99.99);
INSERT into orders values('01002319116','P00532470001','2010-05-04','HO 100482',49.99);
/*SELECT q.ord_year, avg( item_extended_actual_price_amt )
FROM (
SELECT EXTRACT(YEAR FROM ord_submitted_date) as ord_year, persistent_key_str,
min(ord_submitted_date) as first_order_date
FROM ORDERS
GROUP BY ord_year, persistent_key_str
) q
JOIN ORDERS o
ON q.persistent_key_str = o.persistent_key_str and
q.ord_year = EXTRACT (year from o.ord_submitted_date) and
o.ord_submitted_date > q.first_order_date AND o.ord_submitted_date < q.first_order_date + INTERVAL ' 6 months'
GROUP BY q.ord_year
ORDER BY q.ord_year
with cte as
(select *, row_number() OVER( partition by persistent_key_str order by ord_submitted_date) RN from orders )--where ord_submitted_date between dateadd(month,6,getdate()) and getdate())
SELECT year(cte.ord_submitted_date),avg(cte.item_extended_actual_price_amt) FROM cte
where rn<>1
group by year(cte.ord_submitted_date)
Satheesh
My Blog |
How to ask questions in technical forum

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Month to Date and Year to date calculation

Hello Experts,
It would be great If you could provide the formula to implement in BO universe or in the Reporting level for the below requirement.
MTD, LastMonth, Year to Date, Last to LastMonth and examples are below.
Last Week:
Eg: Monday through Sunday
Description: Based on Todayu2019s date, select the Monday of the previous week for the start date and Sunday will be the end date.
Example:
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I need a result LastMaont = April 1, 2009 u2013 April 30, 2009
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I need a result LastMaont = March 1, 2009 u2013 March 31, 2009
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Nisniki,
Here are the methods using WebI:
MTD:
Create a local variable "MTD Start"
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Create a local variable "MTD End"
=currentdate()
LastMonth
=LastDayOfMonth(RelativeDate(CurrentDate();-30))
Year to Date
create a local variable "YTD Begin"
=ToDate("01/01/"+FormatNumber(Year(CurrentDate());"####");"mm/dd/yyyy")
(reuse "MTD End" or build a "YTD End" variable same as "MTD End")
Last to LastMonth
(similiar to MTD, but using "60" versus "30" to move back two months versus moving back 1 month.
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Thanks,
John

Is there any way to retrieve ONE MISSING BOOKMARK...containing months of research, and the only one missing??

I suddenly have one bookmark missing...only one! which just so happens to be the one containing all the research I am currently working on. And it contains months and months of compiled data, websites, etc...WHICH IS needed to finish my project. was sick this last week and did not turn on computer at all, and I know the bookmark was there when I last used computer. Tried to do several system restores, only to get a message back on each (4) saying " restore could not be completed" but no explanation as to why...is there any other way to retrieve this bookmark? IT wasn't backup'd, (LIKE IT SHOULD OF BEEN) or in recycle bin ?? in case it was deleted...(which I'm not sure where it goes if it were deleted..) ANY SUGGESTIONS??? COULD REALLY USE HELP!!! SINCERELY,
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Is this a problem on such a mobile device or is that on a desktop computer (your user agent suggests you are on Windows XP)?
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I know there are lots of companies using PRA for their monthly production allocations but I was hoping to get some feedback as to why companies have avoided doing their daily allocations in PRA. Any feedback would be greatly appreciated.
I am working on a project that is considering moving their daily and monthly allocation from TOW (Landmark Graphics) to SAP.

Hi Polaris,
Instead of hard coding the HRS as 8 in PCR please try to read the hours from Info type 0007. Sample PCR is as below.
where EG-1 is intern
Z105-Time type
For permanent employee complete calculation will be based on the IT0008.
Please explain with an example if you still have any queries.
Hope this helps:)
Regards
Rakesh KM

Rolling Average

Hi,
I have to calculate a five week rolling average that uses wo different formulas for weeks in the past and weeks in the future with respect to the current week
. Is there a standard function for the same in SAP?
If not how do we go about doing it?
Thanks

Hi Ravi,
You can use this FM module to get current week.
Data : datum like prowf-ertag,
DATA: week LIKE scal-week.
CALL FUNCTION 'DATE_GET_WEEK'
EXPORTING
date = datum
IMPORTING
week = week
EXCEPTIONS
date_invalid = 1
OTHERS = 2.
write : week.
use this FM to get the previous week ..by subracting datum by 7 as there are only 7 days in week..same to fuuture weeks also...
Regards,
San!

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I am a new user (business objects 12 relaease 2)
I would like to build a report in web intelligence displaying the average count of the number of records per day, where the average is calculated for a rolling window of days.
For example a rolling daily average count of records using a 3 day window would be caluculated by:
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An additional problem arises becasue there are some dates that have no data. I need to include those dates, but Web Intelligence won't display them. Is there a way of displaying dates with no values in the table?

John Berezowski,
In response to your question: "An additional problem arises becasue there are some dates that have no data. I need to include those dates, but Web Intelligence won't display them. Is there a way of displaying dates with no values in the table?"
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30 day rolling average of a single variable based on 1 hour averages?

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I think you are on the right path, use the existing Citadel information with ODBC & SQL to get the data.
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http://news.verizonwireless.com/news/2013/04/verizon-wireless-upgrade-statement.html

Brian68 wrote:
Verizon is risking losing customers. Here's why. Most people want to upgrade as soon as they are eligible. Well at 20 months you are still under contract so it's not like you can leave without paying a lot of money anyways. So if you want that new phone you're not going to wait 4 extra months when you can get it now. Nor are you going to pay and ETF because then you might as well be paying full price. So you upgrade and BAM new 2 year contract. Under this new scenario the upgrade and contract have the same end date so one can look at other carriers and leave Verizon without penalty.
Someone made this point in another thread, but I can't remember who it was. Do you remember Brian? Maybe this is part of the positive spin that Verizon Wireless put on this announcement.
Ann154, you're welcome!

12 Month Moving Average and 12 months rolling average

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