Business Objects XI Web Intelligence Aggregation Issue (11.5.8.897) - reporting

I've got a multiple tabbed report. On one tab I have the details listed and on another I have a summary table (cross reference) type of aggregation based on the same dimensions utilized in the detail report. I've created a calculated field that takes the product of two measures, I've saved this as a variable. When I try to aggregate that variable on the summary report BOWI is not calculating correctly. Example:
QTY * PRICE = LineTotal
2 * 3 = 6
4 * 3 = 12
TotalOrder = $18
Calculates correctly on the detail report.
When I put this on the aggregate report it is doing the following:
Sum QTY * Sum Price = Total, in other words it is doing
6 * 6 = $36.
My totals on the aggregate are highly inflated. Firstly in what world does that order of precedence make sense? and secondly how can I tell BOWI to sum the TotalOrders instead of breaking it back up into it's components summing those and then multiplying?
Is it a bug?
Further Information
The detail report is Sectioned by Year, Region, State -> Detail lines
The summary report is dimensioned by Year, Region, State
The (QTY * PRICE) component is saved as a variable and utilized in both places.
Am I missing the secret handshake somewhere when calculated fields/variables can't be aggregated and they need to do so in the Universe?

I havent worked with WEBI for a while, I mainly develop DESKI reports, however what you describe sounds similar to the aggregation that occurs in DESKI. If a measure is set to sum aggregation, then it will add all the measures together that relate to the dimension that is added to the report.
For example, if like my details reports, you have the columns order number, qty, price then the aggregation will sum both qty and price at the order level, which is correct. However moving to the summary table then this will cause incorrect data.
To remove the aggregation you can change it from SUM to NONE, I cant recall off the top of my head on how to do this in WEBI (if you cant find out I can check my course materials which are work).
Alternatively, it is best to ensure the dimensions on your summary report are suitable for the data presented.
If you need any further information please let me know.
Matt

Related

PowerBI groupby with filters

My company has tasked with slicing the information on turnover and to create different graphs.
My source data looks like this: Relevant columns are: Voluntary/Involuntary, Termination Reason, Country, Production, and TermDateKey
I am trying to get counts using different filters on the data. I managed to get the basic monthly total using the formula:
Term Month Count = GROUPBY('Turnover Source','Turnover Source'[TermDateKey],"Turnover Total Count", COUNTX(CURRENTGROUP(),'Turnover Source'[TermDateKey]))
This gave me a new sheet with the counts for each month.
Table that shows TermDateKey on Column 1, and Counts on column 2
I am trying to add onto this table by adding counts but using different filters.
For example, I am trying to add another column that gives me the monthly count but filtered for 'Turnover Source'[Voluntary/Involuntary]=="Voluntary". Then another column for 'Turnover Source'[Voluntary/Involuntary]=="Involuntary" and so on. I have not found anywhere that shows me how to do this and when I add in the FILTER function it says that GROUPBY(...) can only work on CURRENTGROUP().
Can some one point me to a resource that will give me the solution I need? I am at a loss, thank you all.
It looks like you may not be aware that you don't have to calculate all possible groupings with DAX formulas.
The very nature of Power BI is that you use a column like "Termination Reason" on an X axis or in the legend of a visual. Any measure that you have created on values of another column, for e.g. a count of all rows, will then automatically be calculated to be grouped by the values in "Termination Reason", giving you a count of each of the values in the column.
You do NOT need DAX functions to calculate the grouping values for each measure for each column value combination.
Here is some simple sample data that has been grouped into dates and colours, one chart showing a count of each colour and one chart showing a sum of the Value column. No DAX was written for that.
If your scenario is different, please explain.

dax handling summary values in a matrix report

Source data columns are Store, Product, StoreSales, and ProductSales
StoreSales has duplicate values, even across different Stores.
Looking for a dax measure to handle StoreSales as described in the image.
This is the closest so far, but doesn't account for duplicates between stores.
Store Sales:=
sumx(DISTINCT(_Sales[StoreSales), _Sales[StoreSales])
screenshot of source and pivot table
To answer your question directly, this formula should give you the desired result:
Desired Result for Store Sales =
IF(ISFILTERED(_Sales[Store]), SUM(_Store[Store Sales]))
However, I recommend to revisit your data model design. It's conceptually incorrect (you are mixing detailed data with the summary of the same data), and you will have serious problems with DAX. A better way to structure your data:
Remove column "Store Sales". It's redundant and does not fit the data level of detail.
Rename column "Product Sales" into "Sale Amount". It's just sale amount, without any qualifiers.
Create a measure "Total Sales" = SUM(_Sales[Sale Amount]). It will correctly calculate total sales both on product and store levels.
If you need a special measure for store sales, use SUMX:
Store-level sales = SUMX (VALUES(_Sales[Store]), [Total Sales])
And if you need to show product contributions to store sales:
Product Contribution = `DIVIDE([Total Sales], [Store-Level Sales])

PowerBI filter table based on value of measure_A OR measure_B [duplicate]

We are trying to implement a dashboard that displays various tables, metrics and a map where the dataset is a list of customers. The primary filter condition is the disjunction of two numeric fields. We want to the user to be able to select a threshold for [field 1] and a separate threshold for [field 2] and then impose the condition [field 1] >= <threshold> OR [field 2] >= <threshold>.
After that, we want to also allow various other interactive slicers so the user can restrict the data further, e.g. by country or account manager.
Power BI naturally imposes AND between all filters and doesn't have a neat way to specify OR. Can you suggest a way to define a calculation using the two numeric fields that is then applied as a filter within the same interactive dashboard screen? Alternatively, is there a way to first prompt the user for the two threshold values before the dashboard is displayed -- so when they click Submit on that parameter-setting screen they are then taken to the main dashboard screen with the disjunction already applied?
Added in response to a comment:
The data can be quite simple: no complexity there. The complexity is in getting the user interface to enable a disjunction.
Suppose the data was a list of customers with customer id, country, gender, total value of transactions in the last 12 months, and number of purchases in last 12 months. I want the end-user (with no technical skills) to specify a minimum threshold for total value (e.g. $1,000) and number of purchases (e.g. 10) and then restrict the data set to those where total value of transactions in the last 12 months > $1,000 OR number of purchases in last 12 months > 10.
After doing that, I want to allow the user to see the data set on a dashboard (e.g. with a table and a graph) and from there select other filters (e.g. gender=male, country=Australia).
The key here is to create separate parameter tables and combine conditions using a measure.
Suppose we have the following Sales table:
Customer Value Number
-----------------------
A 568 2
B 2451 12
C 1352 9
D 876 6
E 993 11
F 2208 20
G 1612 4
Then we'll create two new tables to use as parameters. You could do a calculated table like
Number = VALUES(Sales[Number])
Or something more complex like
Value = GENERATESERIES(0, ROUNDUP(MAX(Sales[Value]),-2), ROUNDUP(MAX(Sales[Value]),-2)/10)
Or define the table manually using Enter Data or some other way.
In any case, once you have these tables, name their columns what you want (I used MinNumber and MinValue) and write your filtering measure
Filter = IF(MAX(Sales[Number]) > MIN(Number[MinCount]) ||
MAX(Sales[Value]) > MIN('Value'[MinValue]),
1, 0)
Then put your Filter measure as a visual level filter where Filter is not 0 and use MinCount and MinValues column as slicers.
If you select 10 for MinCount and 1000 for MinValue then your table should look like this:
Notice that E and G only exceed one of the thresholds and tha A and D are excluded.
To my knowledge, there is no such built-in slicer feature in Power BI at the time being. There is however a suggestion in the Power BI forum that requests a functionality like this. If you'd be willing to use the Power Query Editor, it's easy to obtain the values you're looking for, but only for hard-coded values for your limits or thresh-holds.
Let me show you how for a synthetic dataset that should fit the structure of your description:
Dataset:
CustomerID,Country,Gender,TransactionValue12,NPurchases12
51,USA,M,3516,1
58,USA,M,3308,12
57,USA,M,7360,19
54,USA,M,2052,6
51,USA,M,4889,5
57,USA,M,4746,6
50,USA,M,3803,3
58,USA,M,4113,24
57,USA,M,7421,17
58,USA,M,1774,24
50,USA,F,8984,5
52,USA,F,1436,22
52,USA,F,2137,9
58,USA,F,9933,25
50,Canada,F,7050,16
56,Canada,F,7202,5
54,Canada,F,2096,19
59,Canada,F,4639,9
58,Canada,F,5724,25
56,Canada,F,4885,5
57,Canada,F,6212,4
54,Canada,F,5016,16
55,Canada,F,7340,21
60,Canada,F,7883,6
55,Canada,M,5884,12
60,UK,M,2328,12
52,UK,M,7826,1
58,UK,M,2542,11
56,UK,M,9304,3
54,UK,M,3685,16
58,UK,M,6440,16
50,UK,M,2469,13
57,UK,M,7827,6
Desktop table:
Here you see an Input table and a subset table using two Slicers. If the forum suggestion gets implemented, it should hopefully be easy to change a subset like below to an "OR" scenario:
Transaction Value > 1000 OR Number or purchases > 10 using Power Query:
If you use Edit Queries > Advanced filter you can set it up like this:
The last step under Applied Steps will then contain this formula:
= Table.SelectRows(#"Changed Type2", each [NPurchases12] > 10 or [TransactionValue12] > 1000
Now your original Input table will look like this:
Now, if only we were able to replace the hardcoded 10 and 1000 with a dynamic value, for example from a slicer, we would be fine! But no...
I know this is not what you were looking for, but it was the best 'negative answer' I could find. I guess I'm hoping for a better solution just as much as you are!

OBIEE Merge two queries (join)

I need help.
I am new to obiee (recently moved from business objects and re-creating all reports in obiee).
Here is an example I need help with. I have created an analysis where I am listing all orders with their target delivery dates and number of products in each order.
Order Id......Target Delivery Date...No of products
Abc....1/1/2016.....5
I want to add to a column next to No of products called "No of prods delivered on time". I want to compare delivery date of each product within a order with the target delivery date and
Give count of products delivered within the target date.. So the output should be
Abc....1/1/2016....5.....3
Where 3 is number of products delivered on time.
I could do it in BO by running two queries and merging them however in obiee I am not able to add second query to my analysis. I did try at product level using case when target date >=delivery date then 1 else 0 and wrapped this with sum function to aggregate but it didn't work ..
Appreciate your help in this. Searching for this topics give me results for running queries from multiple subject area :(
You also have unions in OBIEE, you union the results of 2 queries which return the same structure, so you have query A with Order ID, Target Date, No Products and a Dummy column with a 0 and default agregation Sum, and a second query with Order ID, Target Date, Dummy column summing 0 and the number of products delivered.
You do all this in the criteria tab of the analysis. It's important the order in which you put your columns, because that's what OBIEE is using to do the union.
Regards

How can I get the values in the Matrix on my SSRS report to repeat?

I know there must be a simple answer to this, but I can't find it.
I have added a couple of textboxes to a Matrix in a BIDS/SSRS report. I've given these textboxes values such as:
=Fields!WEEK1USAGE.Value
It works (after a fashion); when I run the report (either on the Preview tab, or on the Report Server site) I see the first corresponding data value on the report - but only one.
I would think that once a value has been assigned via expressions such as "=Fields!WEEK1USAGE.Value", each value would display (rows would automatically be added).
There must be some property on the Matrix or the textbox that specified this, but I can't see what it might be.
Here is how my report looks (very minimalistic, so far) in the Layout pane:
...and after running, on the Preview tab:
Obviously, I want the report to display as many rows as necessary, not just one. The textboxes do have a "RepeatWith" property, but there description doesn't sound interesting/useful/promising.
I don't see any property on the Matrix control that looks right, either.
I thought maybe the designer was only showing one row of values, and ran the report on the server, too, but there also it just shows the two values.
So what do I need to do to get all the data for a provided field?
Matrices are for display of grouped data and summary information, usually in a horizontally expanding pivot table type of format. Is a matrix really what you are after? Looking at your expression you have =Fields!Week1Usage.Value but in a matrix what I expect to see would be at least =Sum(Fields!Week1Usage.Value) or even better just =Sum(Fields!Usage.Value). Then you would have ProactDescription as your row group and the week as your column group and it would all just work out everything for you, grouping and summing by Proact vertically and expanding the weeks out horizontally.
What seems to be happening is that you have no grouping on rows or columns and no aggregation so it is falling back to the default display which is effectively the First function - it displays the first row of data and as far as the matrix is concerned it has done its job because there is no grouping.
Without knowing your problem or data, I'll make up a scenario that might be what you are doing and discuss how the matrix does the heavy lifting to solve that problem. Let's say you have usage data for multiple Proacts. Each time one is used you record the usage amount and the date and time it is used. It could be used multiple times per day but certainly multiple times in a week. So you might be able to get the times each Proact is used from a table like so:
SELECT ProactDescription, TimeUsed, Usage
FROM ProactUsage
ORDER BY ProactDescription, TimeUsed
In your report you want to show the total weekly usage for each Proact over multiple weeks. Something like this:
Proact Week1 Week2 Week3 ...
Description Usage Usage Usage ...
--------------------------------------------
Anise, Fennel 1 CT 20.00 22.50 16.35 ...
St John's Wort 15.20 33.90 28.25 ...
...
and so on. Using a dataset based on the SQL above we create a matrix and in the row group properties we group on =Fields!ProactDescription.Value and in the column group properties we group on a week expression like =DateDiff(DateInterval.Week, Fields!TimeUsed.Value, Today) and then in the intersection of the row and column we put =Sum(Fields!Usage.Value). To display the header of the column nicely put an expression like
="Week " & DateDiff(DateInterval.Week, Fields!TimeUsed.Value, Today)
The matrix automatically does all the summing by week and product and expands the weeks horizontally for as many as you are reporting. For bonus points you can also put totaling at the end of the columns and the rows to show the total use of that Proact for the period (row total) and total use of all Proacts in that week (column total).

Resources