Data Quality - USA Address Cleanse

I receive the following error when executing the USA Address Cleanse.
"The job to calculate usage dependencies cannot be executed because the job contains obsolete connection information."
I read in other blogs, my repository might be corrupt. I recreated the repository using Repo Manager and added it back to the job server and still received the above error. I am not doing anything special just Source>Address Cleanse>Target.
Has anyone seen this issue before?
Thank you,
Lance

are you seeing this error when you are executing the job ?
or while saving the Dataflow ?
calculate usage dependency job will use internal object, looks like you have changed the password of repository database and the connection details stored in internal object is not updated
to update the password of internal object, go to managment console and register the repository if its already registered, modify the repositroy connection details and click on Apply this will update the password of internal object, you don't have to recreate your repo if it was successfully created earlier
what is the DS Version ?

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USA Address Cleanse - invalid City Directory

Hi All,
I am getting the following error while using USA Address Cleanse transform;
4772 3680 DQX-058306 5/22/2009 11:15:20 AM Transform <USA_AddressCleanse>: Global Address Transform: WRONG DIRECTORY. Invalid City directory...
Though I have used correct directory path for Reference files:
" Program Files\Business Objects\BusinessObjects Data Services\DataQuality\reference_data\ga_country.dir "
please feel free to correct me if am missing anything......
thanks
Alexander

Alexander,
yes you have to download the Address Directories from the Service Marketplace. There are new versions coming out every quarter and you need to have a subscription to get access to the Address Directories.
Please see another Thread: Link: [USA Address Cleanse - invalid City Directory; that had similar discussion already.
See Brandon's comment there, the CASS 2009 cycle will be introduces with the Data Services 3.2 release.
Niels

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Using Data Services' Global Address Cleanse transform and want to have multiple Secondary Unit Designations retained, parsed, standardized and returned in output data.
ie: 1 Dexter Ave Floor 10 Suite 5
Only finding "Suite 5" store in the output SECONDARY_ADDRESS field.
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So is any Complex_Name and Complex_Type address line info like "Rockafellow Center", "Eastdale Mall", "Manhattan Mall", "Building 2", etc.
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you either need to download one of the following additional Address Directories
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i.e.
Input Fields
Multiline1                                          Multiline2
4760 Address Dr                            PO BOX 78
Output Fields (I get)
Primary Address                            Secondary Address
PO BOX 78
Output Fields (I want)
Primary Address                            Secondary Address
4760 Address Dr                            PO BOX 78
Due to Apartment numbers being in either my Multiline1 or Multiline2, I can not use those use the Multiline output columns. Unless there are setting I need to change in order for me to get both scenarios working.
i.e.
Input put fields
Multiline1                              Multiline2
1234 Address Apt.2
5432 Address                      Apt.3
-Thank you

David,
You specifically mentioned the settings on the client. But is that path the right path on the machine running your job server?
My next question is have you downloaded the RDI directories from the USPS? You must purchase these directories directly from the USPS. You should have these two files:
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Using Global Variables in Data Quality Address Cleanse Transforms

I am currently developing in Data Services 12.2.
I am trying to dynamically populate the List Owner information in the option tabs of the USA Regulatory Address Cleanse by using global variables. It populates the 3553 with the variable name instead of the value assigned.
According to the Technical Manual, it is possible to use global variables in Data Quality Address Cleanse transforms:
However, you can use substitution parameters in all places where global variables are supported, for example:
Query transform WHERE clauses
Mappings
SQL transform SQL statement identifiers
Flat-file options
User-defined transforms
Address cleanse transform options
Matching thresholds
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Hi,
U can refer to the following links in help.sap.com
GlobalContainer Object
http://help.sap.com/saphelp_nw04/helpdata/en/75/8e0f8f3b0c2e4ea5f8d8f9faa9461a/content.htm
Container Object
http://help.sap.com/saphelp_nw04/helpdata/en/78/b4ea10263c404599ec6edabf59aa6c/content.htm
Also some of the RUN TIME CONSTANTS are available in your BPM. So if you are trying to retrieve those variables in your Mapping(that is used in BPM), also read the following thread.
Re: Message id in BPM
Cheers,
Siva Maranani.

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I'm trying to standardize an address (using DQXI USA Regulatory Address Cleanse) that contain address and building/room data. The standardization process seems to drop important pieces of the address that are needed for delivery.
Input Data
FirstName: Joe
LastName: Smith
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Zip: 55558
Cleanser Input Mapping
Address -> MultiLine1
AddressExt -> MultiLine2
City -> Locality1
State -> Region1
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Tried These Things
Varying the cleanser's standardization options
Mapping the input Address columns to Address_Line (which yields Allison Hall 206-B as the best_delivery_primary_secondary_address )
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Questions
Is there any way to get the address to be cleansed/standardized and maintain the valuable address data?
Perhaps will I have to stitch multiple cleansers together to get both th USA-only fault-code along with some more flexibility in the global address cleanse?
Another more reliable approach (like concatenating the address data and treating all as Multiline input data?

I'm actually using the best output fields, I think the projects came defaulted to the best settings and I haven't changed them. I did disable ELOT, DPV, RDI and LACSLINK as I don't need any of those features, but that's about all I've changed in the project.. The project is failing attemping to unregister the USA reg Address CleanseCass_UsaRegAddressCleanse_Transform.
>
Ryan Champlin wrote:
> I'm guessing that you are using the "Stadardized" output fields rather than the "Best" output fields? If you use the "Best" fields I think you'll be fine.
>
> Could you let me know if you got this working or if this works and we can go from there.
>
> Thanks,
> Ryan

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Thanks,

hi,
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Transform <USARegulatory_AddressCleanse>: RDI ERROR - RDI files not found in specified directory..
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David,
You specifically mentioned the settings on the client. But is that path the right path on the machine running your job server?
My next question is have you downloaded the RDI directories from the USPS? You must purchase these directories directly from the USPS. You should have these two files:
rts.hs11 and rts.hs9
Thanks,
Ryan

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Hello Ida,
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bump again,
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Hi,
What dir files do I need to have to be able to run the global address cleanse for the UK?
I have the following files in my reference_data folder
ga_region_gen.dir
ga_country.dir
I am guessing I need
ga_loc12_gen.dir,
ga_loc12_gen_nogit.dir,
ga_loc34_gen.dir
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Thanks

Clark,
you either need to download one of the following additional Address Directories
- Address Directory - All-World
- Address Directory - United Kingdom
for Data Services XI 3.x from the SMP. To have access to them you need a Annual Subscription to the Directories.
Niels

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Hi,
I am new to OEDQ. I have a need to do the address verification using OEDQ. Please guide me how to proceed with the process.
Thanks in advance.
Regard,
Ida.

Hello Ida,
Address Verification in OEDQ is comprised of the Address Verification API, and a Global Knowledge Repository (also known as Postal Address File).
A subscription to a Postal Address File must be purchased directly from a provider, and Oracle's prefered partner for this is Loqate, (http://www.loqate.com/).
See explanation here for details: https://blogs.oracle.com/mdm/entry/enterprise_data_quality_integration_ready
The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically:
Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API
Optimization of address verification by pre-standardizing data where required
Formatting of output addresses into the input address fields normally used by applications
Adding descriptions of the address verification and geocoding return codes
The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.
The Installation and Configuration of Addess Verification with OEDQ and Loqate is documented here: Installing and Configuring Address Verification
Best regards,
Oliver.

SLcM and Experian Data Quality (QAS) Pro address verification service

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Data Services XI 12.1 Technical Manuals, Designer Guide, Data Quality, Page. 555:
Caution:
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Data Quality - USA Address Cleanse

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