The used technology has shifted and the positioning with other specialized analytical solutions had to be adapted. What happened? For example transactions for purchasing now give contextualized real-time information to make the best supplier decision.
Not enough, recently these use-cases are enhanced with predictive and machine learning capabilities, providing intelligent decision support. Moreover, with the availability of personalized Key Performance Indicator KPI information already on the SAP Fiori Launchpad, the individual user gets latest information about the business and the details behind this in configurable and personalizable drill downs or preconfigured applications.
Color-coded KPI tiles point on those areas which require immediate action, leading to drill-downs into the KPI details and eventually to either classic or hybrid transactions to execute the necessary changes. This includes simulations of data and function executions to post the data as well. Is it still necessary?
This statement does not change. Data Warehousing and Embedded Analytics are serving very different use-cases. Overarched by SAP Analytics Solutions which serve as the perfect fit for not only visualizing all data sources providing strong Business Intelligence capabilities.
The data is operational, the availability real-time. The virtual character of the data model allows lightweight modeling with immediate reflection of structural changes due to the lack of persisted data.Bs en 455
The models are extensible and easy reusable in different scenarios and allow the interoperability with pure transactional developments. To provide this, a single, comprehensive source of current and historical information needs to be established which implicates a redundant aggregated and harmonized persistence of data. By mixing the use cases for Embedded and Strategic Analytics, the full range of either real-time and fine granular data to high level and multiple source data can be realized.
Both concepts of Enterprise Data Warehousing and real-time analytics can be merged, reports and analyses being mashed up and visualized in a single report, dashboard or other type of visualization. Possible integration enhancements currently discussed span from using ABAP-CDS for extraction, related content up to semi-automated integration and automatic data model setup.
The following graphic shows the technical integration in a little more detail. The picture focuses on the data staging aspect in the first place:.
BPC Optimized. The analytical engine however will not be affected by this current movement, for reasons like the one that it represents the standard interface to SAP Analytics incl. SAP Analytics Cloud. It is also possible to run Analytics inside of Transactions and integrate Predictive and Machine Learning capabilities.
For those environments where only local data is needed and operational reporting is sufficient, this might be true but in any case where data from multiple sides needs to be collected, merged and harmonized, the existence of a new data persistency and functionality to facilitate this, is required.
Thank you.You can find the best practices at the following location:. As normal real time analytics would show you the open items at a certain key date, it will make sense to calculate snapshots per month to show open items in a trend.
In this blog post, I would like to show you how easy it is to go from a real time view of your data into a persistent way of looking at the data. Be sure to select the correct driver, the IP address of the source system and log on with your system user. Now the fun starts. Select your view. After adding the virtual table you can do a quick SQL content query to the results from my source table. I am writing a proposal and trying to justify need of separate BW server rather than embedded BW.
Very good explanation. I am asking only for virtual access. We are going to use cost center hierarchy of BW need to persist hierarchy data in bwand standard CDS views of S4hana to consolidate in the composite provider for a reporting requirement. Should I use SDA for this specific use case?
I understand existing BW extractors will work, however, how can the data be loaded from custom CDS views. Posted on April 15, 3 minute read. Follow RSS feed Like. Go into the HANA studio of the receiving BW system, go to provisioning and create a new connection Be sure to select the correct driver, the IP address of the source system and log on with your system user. If all is ok, you will get the following screen Now the fun starts. Thank you for reading! Alert Moderator. Assigned tags.
Related Blog Posts. Related Questions. You must be Logged on to comment or reply to a post. Former Member. April 18, at am. Like 0.
Ronald Konijnenburg Post author. August 17, at pm.Problem Statement Overview:. Solution related questions:. Hence it is required to configure the data source names in the backend tables as configuration which will enable the LO extractors for extraction. When the setup table run is happening standard programs will check the data source mapping in the table, if the entry is available then setup table data fill will happen.
Currently in S4HANA by default this configuration is not happening in the backend which is preventing the setup table fill. Once the data source mapping is configured in the base table go to the typical T-codes like OLI7BW… now you are able to trigger job to fill the setup table. Again for delta also we need to do certain configuration mapping in the back-end base table, post that we can able to get the delta records.Apache camel transform example
When BW version is 7. Once the job is completed now extract the data through RSA3. Basis team will create this connection establishment.
First request records is init with data transfer and request 12 records is delta extraction.Tensorflow gru
Change the sales document through T-code VA02, here item 20 order quantity is changed from 10 to Info-package is not necessary while using ODP but for illustration purpose info-package is used here. Would you like to access Full Article? What kind of configuration details are required to maintain?
How this configuration helps for extraction? How to fill the setup table? Can we get delta records post initialization? Why we need to perform these configuration manually? Solution: Please follow the below steps to configure the LO extractor in the back-end table. Setup table and extract structure is active in the system. Step 3: Check in the below table whether the corresponding application component has entry. Step 4: Maintain the entries w. Step 5: Maintain the entries w.
Step 9: Create info-package and perform the initialization. Step Change the sales document through T-code VA02, here item 20 order quantity is changed from 10 to Run multiple test runs for delta extraction to ensure the extraction accuracy. User Rating: Be the first one!The extractors related to deprecated functionality, or Add-ons etc.
There, restriction notes of multiple areas are listed which contain the list of no longer available BW extractors. This needs to be verified on customer-specific basis. The virtual data models are also used for transactional or search uses cases and aims to fulfill on-premise and on-demand qualities.
Via this indicator the application marks those Entities that are suitable for Data Provisioning. To avoid additional data modeling outside VDM for the data provisioning scenarios, a logical sub-layer in the CDS reuse layer should be redundancy-free, but still complete from the business perspective.
For each reuse view which is part of this core layer, it is decided from a technical performance, … and semantic perspective, whether it can be also released for extraction use cases mentioned above. From there the dataExtraction. An overview of useable approaches per the type of object could be found in the below table. Detailed explanation follows afterwards.
ADT — Search Function. Fast and simple way for key users. With advanced functionalities available via ADT. Suitable for IT users. SAP BW is designed to consolidate data from different source systems and provide a harmonized view for reporting. From release BW 7.
SAP S/4HANA and SAP BW/4HANA: What to Do Where?
Two typical scenarios are included in this option for your reference:. This gives you the possibility to have one interface on the source system side for direct access in the source system, and for full data provisioning from the source into BW as well. CDS views enable delta extraction via delta element annotations. The other way around, is to integrate the underlying database views of the CDS views.
Below is the typical scenarios can be referenced.How do you analyse your BW Extractors? KTern performs the BW extractor check as part of the Discover phase of the Activate methodology and is part of the Impact Analysis module. There are three different types of content extractors: Content Extractors application-specific Customer-Generated Extractors application-specific Generic Extractors cross-application. You just have to install Business content.
Prior to the extraction of data, you must maintain the exact data structure and data sources. Then you can populate the extract structure with data. SAP could not provide a standard data source for such applications. Hence, they are called customer-generated extractors. In such cases, you will have to create your own data source.
Such extractors are called as generic extractors. You can create data sources in three different ways, based on: Tables and Views for simple applications Infosets Function Modules for complex extractions. Read more. Without completing this step, you cannot proceed further in the system conversion process. It finds out the total number of BW data sources in a system and the number of impacted and non-impacted data sources in a system.
As a result, this section gives you an analytical view of the BW data sources present in the connected system. KTern then classifies the data sources into Whitelisted and Not Whitelisted data sources. Whitelisted data sources are SAP-Authorized data sources. Not Whitelisted data sources are not authorized by SAP and it may cause some trouble during the system conversion process.
As shown in the above picture, KTern also provides a table view of all the BW data sources along with their respective application components, classification, status and the associated SAP Notes. You can also download this report and use it in the subsequent stages of the system conversion process.
Same is the case for non-relevant data sources. In such cases also, an analytics consultant will have to do a custom data source. But, KTern does not require the installation of any notes. KTern also saves the results from BW extractor check and uses it in the actual system conversion itself.
KTern provides a single platform where everyone can collaborate and have a clear view of the happenings of the project.Netflix downloader chrome
They can also have discussions and perform sign-offs. This collaboration feature enables KTern to stand out in the market. Experience the features in action Get started for free. No credit card required! Start now.I could find very minimal knowledge on the impacted extractors with S4 HANA over the internet and Hence sharing the the learning. Till the time, if really urgent, you can go with custom CDS views, Not the traditional way as CDS view will be the future way of extracting data.
However there are approximately extractors for EHS, which are part of the cusomers system and are not covered by the above mentioned note. Mentioned below are some of the extractors out of thewhich are not covered as part of the above mentioned note. Can you please point us in the right direction, from where we can get this information? Devesh Kapse. Posted on April 2, 1 minute read. Follow RSS feed Like.
Wondering on the above question. So here is some learning I had from my last project. Before migration Check the underlying tables for the BW data sources, as there are many application Transparent tables which are now Views, and for many tables the keys are changed. This may effect the data loads at DSO level and may give you wrong information. There may be a situation where at the DSO level, due to changes in Keys, we may not get the unique record or records might over right, resulting in mismatch in totals.
Thanks and Regards, Devesh. Alert Moderator. Assigned tags. Related Blog Posts. Related Questions. You must be Logged on to comment or reply to a post. Former Member. April 12, at pm. Hi Devesh, Nice information.
Like 1. Devesh Kapse Post author. April 19, at am. Thanks, Devesh. Like 0. April 25, at am. The BW system is on oracle database.
May 24, at am. If you extractors are not in the list means they should be working fine. For a safer side, Just create a ticket to SAP for their confirmation.Magic mouse 3 review
November 27, at am. Link Text. Open link in a new tab. No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.Introduction to CO-PA:. Types of Profitability Analysis. Costing-based Profitability.SAP BW / BI tutorial for beginners
This type of Profitability Analysis is primarily designed to let you analyze profit quickly for the purpose of sales management. Its main features are, firstly, the use of value fields to group cost and revenue elements, and, secondly, automatic calculation of anticipated or accrual data valuation. The advantage of this method is that data is always up-to-date and therefore provides an effective instrument for controlling sales.
Account-based Profitability. This type of Profitability Analysis enables you to reconcile cost and financial accounting at any time using accounts. In contrast to costing-based Profitability Analysis, this type uses cost and revenue elements, which gives you a unified structure for all of accounting. The system posts all revenues and costs to both Financial Accounting and Profitability Analysis at the same time and using the same valuation method.
Data Provisioning Supportability of SAP S/4HANA On-Premise Edition 1709
This means that the cost of sales is posted to Profitability Analysis at the point of goods issue. What is Operating Concern? Characteristics are the criteria in Profitability Analysis CO. PA according to which you can analyze your operating results and perform differentiated sales and profit planning.
Value fields:. Value fields are only required in costing-based Profitability Analysis. These are the fields that contain the currency amounts and quantities that you want to analyze in CO.
Prerequisites for creating OC:. Crate Operating concern in KEA0. Assign the cost element group under a value field in KEI2.
Note: All the above settings were maintained by FI Consultants. For each CO-PA specific field with a name consisting of five characters, the system generates a corresponding Info object in the back ground. As in BI 7.Kodak scanner troubleshooting
Then we can delete that data source from BW and replicate as 7. All info objects will be remain there in the system. CO-PA data source cannot be enhanced. Now that new field cannot be adjusted with the existing data source. Data source has to be deleted and recreated.
If you created the data source with the same as old data source name, no need to create transformations in BW newly. Daily transactions, Invoices are captured in this table. All planned data, different estimates are stored in this table.
This is set up between the segment table and the line items. It is used to assign segment numbers to each combination of characteristic values. Steps To Create Operating Concern:.
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