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It is true that there are often challenges when upgrading between releases of BusinessObjects but this has always been the case as it has been for all the other BI and software application vendors too.
A few rules of thumb for BusinessObjects software are:
1. Never upgrade to an x.0 release - always wait for at least the x.1 release and even the first or second service pack of that release
2. Never attempt to perform a release upgrade if you have not done one before. Get training and experience first or use a reputable BO Consulting company
3. Experiment with the new release on a sandbox environment to become familiar with the changes and find any major issues before attempting a migration to production
Once you are stable on a BusinessObjects release, it is worth staying there for a while.
Update April 2014 : BusinessObjects BI 4.1 has been out for 8 months now and is looking like a stable release. Expect to see a lot of activity moving to this release over the next year.
Update September 2014 : BI 4.1 is now at Service Pack 4 (SP4) which corrected multiple issues in earlier service packs (SP2 and SP3). As more customers move to BI 4.1. more experience is gained and the platform improves. Main features attracting customers to BI 4.1 are improvements in Web Intelligence, Mobile Dashboard support and support of Desktop Intelligence.
Update February 2015 : BI 4.1 is now at Service Pack 6 (SP6). Both SP5 and 6 have been stable. Most BI 4.0 customers are also migrating to BI 4.1 and many more XI 3.1 customers are also migrating since XI 3.1 goes into a maintenance only support mode ( no more service packs or fix packs) after Dec. 31, 2015. The next major release BI 4.2 is currently scheduled for end of the year.
Update December 2015 : BI 4.1 SP7 has just been released. BI 4.2 is in Customer User Validation phase and will not be released until 2016. The jury is still out regarding if the quality of software updates has improved but new QA processes have been implemented by the SAP BusinessObjects development and support teams this year.
Update May 2016 : BI 4.2 SP2 was released at the end of March. There are quite a few new features including to the Upgrade Management Tool (UMT) which is used for migrating content from previous releases. It is now possible to handle incremental updates and moving certain types of content instead of all. There is also a new mechanism that allows part of the update to be performed while the system is still running. There is also a new Recycle bin feature for public folders in case you accidently delete a report. Organizations still running BusinessObjects XI 3.1 are now looking to go straight to BI 4.2.
Update October 2016 : BI 4.2 SP03 is now the latest version released at end of August. It has a lot of new features for a service pack including additional new functionality for Web Intelligence like cascading prompts for input controls, references and further enhancements to the new discussions. The Administrators cockpit has also been further enhanced to provide more options. So far, stability looks good.
Update April 2017 : SP03 has proven to be a relatively stable service pack that many BO customers have updated to. The next service pack, SP04 is now in beta and scheduled to be released in May. Again, it promises to have a bunch of new functionality for Web Intelligence including full parity between the Java and dhtml clients, an optional new UI and many new graphics
Update September 2017 : SP04 has now been available since May and there were additional quite a few code changes . The first release release had multiple issues. Some were addressed in the two subsequent Fix Packs that have been released. The general feeling was that it was not as stable as SP03. However SP04 was the first version that included SQL Server 2016 support so many customers wanted to install it.
Update February 2018 : SP05 was released in December and there were further enhancements particularly to the new optional HTML5 Fiori portal that can now be used for consuming BO reports. This first version has some issues around installation/upgrade but too early to judge its overall stability yet.
Update July 2018 : Like all the previous BI 4.2 Service Packs, SP05 had multiple issues when first released and really did not completely stabilize until Fix Pack 200 (after Fix Pack 100). It is now at Fix Pack 400 and SP06 is in beta testing and should be released soon.
Update December 2018 : SP06 is now the current BI 4.2 Service Pack update released late July. Like all the other service packs there were some initial issues and after a couple of fix pack updates, it now is quite stable. Like its predecessors it has a lot of additional functionality especially with the new Fiori HTML5 UI and Web Intelligence (more new charts like funnels, pyramids, intra-document links and more). Nice enhancements to BO Administrators Cockpit for usage/performance monitoring. Now BI 4.3 has been announced for release at end of 2019, the next service packs may be more maintenance fixes than new functionality.
Update June 2019 : SP07 was released a couple of months ago. Unlike previous BI 4.2 Service Packs this had a very small amount of new functionality and was mainly a maintenance update. Again the first version had a few issues but a fix pack has been released and customers are upgrading to it. The remaining 4.2 service packs are also supposed to be primarily maintenance updates and fixes as new functionality will be focused in the eagerly awaited BI 4.3 release now likely to be released in early 2020.
Update December 2019 : BI 4.2 SP07 remains the current release. There have been issues with some of the Fix Packs and it is best to go with the most current. The BI 4.3 open beta is due to start this month but GA is not expected until mid 2020 now. There should also be an SP08 update to BI 4.2 coming in early 2020.
Update April 2020 : BI 4.2 SP08 was released a few weeks back and despite it being primarily a maintenance release, SAP has included some interesting new features like a direct connector to Snowflake for Webi. Some early bugs in SP08 have been reported and the first fix patch 100 has just been released. There is still much anticipation for BI 4.3, the next major release due out this Summer.
Update September 2020 : BI 4.3 SP0 was released in June and has a radically different HTML6 UI that will take some getting use to. There are a lot of other new features including Webi as a data source allowing you to use universes on top of a Webi report. a few brave souls may try out an SP0 release but most will wait till at least SP2 due out mid 2021. BI 4.2 will continue as the dominant release for at least the next couple of years with SP9 coming out later this year.
Update September 2022 : BI 4.3 SP02 is now the current release with SP03 due for release in December. BusinessObjects BI 4.2 will go into Priority 1 support mode for 2 years starting Jan 1, 2023. In addition, SAP has announced the next major release after BI 4.3 which has been code-named BI 2024 and is die for release at end of 2024/beginning of 2025. This release like all previous BI 4 releases will run both on-premise and in the cloud. This effectively means the BusinessObjects roadmap is solid for at least the next 10 years which is a testimony to both the popularity and success of the product.
Update March 2024 : BI 4.3 SP04 is now the current release but since it has only been out a couple of months, not too many people are moving it to it yet. SP03 is now at patch level 900 and there have been some issues over the last year. Again, a lot of new functionality (and therefore new code) was delivered with both SP03 and SP04. The most significant was the new Data Tab mode in Web Intelligence which allows merging and transformation of data sources. You can join sources toigether with Left Join, Inner Join, Outer Join and Append. You can also profile your data and see disticts and nulls and apply simple transforms using a Replace option.
Update September 2025 : The next major BusinessObjects release, BI 2025, was released in March 2025 and continues with new innovations including new UI5 dashboard components and the ability to create offline reports/dashboards for no additional license fees. There are also some super cool features with Tool Tips allowing drill down and report viewing in a tool tip and haveing a tool tip within a tool tip. Further additions to Data Tab mode allowing creation of Variables, Access to a Formula Editor and new joins (Right Join and Right Join without intersection). BusinessObjects just keeps getting better and better!
I have performed two POCs over SAP Business Data Cloud. My core expertise is in DataSphere and it was a core part of this initiative. We integrated data from S/4, ECC, and Alteryx. We transformed the data models into a traditional analytical model and created Insight apps for reporting.
The best features I appreciate in SAP Business Data Cloud are that SAP is now offering a single platform subscription. Previously, if you wanted data engineering, you had to pursue DataSphere or BW, or if you wanted to extend for reporting, you had to buy another subscription for SAC. Instead, you can take a single subscription of SAP Business Data Cloud and implement whatever you need.
Another advantage is the subscription-based model with pay-as-you-go pricing. This is beneficial instead of having to buy a fixed amount of memory that you have to pay for even if you are not using it. The flexibility is quite good.
The large scale of integration is significant. Through the open cloud connector, we can integrate many systems. Previously, it was a closed SAP environment. Now we can integrate with different platforms across the board and transform data across the platforms, with SAP Business Data Cloud at the center. This makes it easy to convince clients and business stakeholders that they should purchase the subscription.
SAP Business Data Cloud ensures that data keeps the same meaning and relationship when moving between systems in quite insightful ways. Because we are integrating with cross-platforms, many clients now want to move from their on-premise systems to the cloud and gain some footing in AI. When considering the size of data for big companies or organizations in the energy sector or manufacturing sector, which have multiple landscapes across their business, everyone wants to integrate everything. In that scenario, SAP Business Data Cloud is quite helpful for live data reporting, replication, and data transformation.
From my POC experience, I can say we can assume definitely around 30 to 40 percent time saving.
With SAP's AI capabilities in SAP Business Data Cloud, there are some parts integrated, but I am not convinced or impressed as much as I am with traditional data warehousing. For example, there was one component called data generator available in SAP Business Data Cloud. It was transforming a previously built data model in BW to the DataSphere model. However, we have seen some disturbances where the data model built on custom functional modules needs human dependency. It was not transforming exactly as much as our requirement. That is one point.
The second point is about the Insight app; I am not that happy about this. It can be improved. For the Insight apps, they need to be shared through other reporting platforms because of client requirements. One of my clients was from the manufacturing sector and wanted to try the Insight app. They wanted some reports in SAC and some reports in Power BI. However, the Insight app is not available; we cannot share this Insight app to Power BI. That was the issue we faced. This is a limitation.
In SAP Business Data Cloud, to help different AI assistants stay in sync and share the same business rules so they do not give conflicting information, I feel SAP still builds all these AI capabilities into a closed system. If you compare other data engineering stacks, they are openly integrating and partnering with other platforms. They are much more advanced and much more ahead of their time in comparison to SAP Business Data Cloud.
SAP Business Data Cloud does support AI or ML enabled with new use cases in our organization. There are some apps we want to develop, and it is not only limited to SAP Business Data Cloud. We are trying to integrate Joule capabilities into SAP Business Data Cloud. For example, if we are doing a greenfield implementation, on top of these tables, we have to create the CDS view for optimized extraction. In that case, we are trying to do this CDS extraction and CDS code writing using Joule AI automation. That is something SAP could directly integrate into SAP Business Data Cloud. It will save us time.
Second, they have given the product generator, so remodeling is a bit easy. The third point is about reporting. The Insight app is not something I am happy with overall. The Insight app concept was not giving end-to-end functionality, and there is a limited scope of customization into that pre-built Insight app. SAP can work on improving this.
I have been using SAP Business Data Cloud for almost one year. Since it was launched, I started reviewing and exploring the possibilities of what we can implement over it.
I would rate the stability at seven out of ten, with ten being the best.
You can take scalability as a nine, definitely nine.
I rate the technical support at eight point five out of ten, with ten being the best.
On the pricing point, I would say it is quite high compared to other solutions that are available in the market. Unless the client's priority is performance and costing is the secondary priority for them, the client is not willing to buy SAP subscriptions.
Comparing SAP Business Data Cloud with other solutions or other vendors, with the open connectors and cloud connector, it is quite easy. There are also OData services and JDBC drivers. There are many ways to integrate, but we mainly use the standard approach. If it is an SAP-based system, then we use a cloud connector. If it is non-SAP systems, like Azure, then we use the open connectors. For example, Qlik Sense or Alteryx.
I have used the self-service analytics in SAP Business Data Cloud, and they help change our data models quickly. It is quite good. They still need some human intervention while we are doing this, but the capability is present. Essentially, we can shorten the development team in this process, definitely. It also reduces our development time. We did not need to develop a requirement again and again. We can reuse those models or Insight apps.
Moving our old data to SAP Business Data Cloud has made our daily operations faster or easier. I have mentioned that many clients have old on-premise systems. Some of them still have 7.5, some moved to BW for HANA. They can now take the private cloud edition. If they move to the private cloud edition, it is very easy. We did not need to do a greenfield implementation. Instead, we can do the brownfield approach. Over there, as I mentioned earlier, there are some disturbances we have seen for custom function modules, but that is quite manageable. Instead of getting a big team of developers, with the help of experts on a particular platform, we can shorten this duration.
Connecting SAP with platforms like Snowflake, Google, or Microsoft has changed the way my team manages and moves data. Many customers are using different landscapes like Databricks, and Databricks is kind of leading organizational data into their AI capabilities. We can now directly work on something, develop some AI capability, or work on AI capabilities or some AI solution that the client requires. With zero delta sharing, it is a bit easy. Instead of storing the data in the traditional way where we used to push the data into another system, we can directly share and do this on our AI agents or generative AI components for direct development in Databricks. That is quite helpful. The zero delta share copy is quite helpful and is also saving a lot of money and is cost-effective.
I am using the integration for SAP HANA Cloud and SAP Business Data Cloud.
This integration affects my management processes as I am working with one manufacturing client who wants a single platform where they want to decommission all their previous different landscapes over the region and want a single global region landscape. In that case, we proposed SAP Business Data Cloud because whatever data we are getting across the platform, we store in a single landscape. We can consolidate and transform into a single landscape. Furthermore, this live replication gives us an edge over traditional data warehousing solutions like BW. This affects things such as time-divided regional divisions due to time zone constraints. Previously, traditional on-premise systems were hosted on on-premise servers. Now, SAP is hosting in the cloud, so it was quite easy to integrate all landscapes into a single platform. This reduces the complexity of the organization.
With SAP, I am using Data Product Studio with SAP Business Data Cloud.
The benefits I have seen in using these two products together are that it is saving time of rebuilding. Suppose someone had already built something according to my requirement. Then, going through the data marketplace, instead of developing everything, I can directly get that data product from the data marketplace. It was saving my implementation and development cost for the project and also time. It is quite helpful.
SAP Business Data Cloud is mostly deployed in the cloud. Now clients want to move to the cloud itself. Most of them want to upgrade to a cloud solution itself. I did not work on a hybrid model solution, but I have heard from my excellence team that they are also trying to implement the hybrid solution as well.
I have worked on the integration with the S3 bucket and Alteryx system. Apart from that, I did not work on other integrations. Most of the clients want to buy the S3 bucket itself because its costing is comparatively very low in the market. Most clients want to store their historical data into the S3 bucket itself.
Most of my clients are from either the energy sector or the manufacturing sector. They are huge clients. I have told you, unless they do not have the priority of performance, then most clients, for the ERP system, are buying an S4 system, but for the integration and for the data engineering, they used to buy or choose other platforms. For this, one section over SAP can work on pricing for the smaller scalar organization.
SAP Business Data Cloud does require some maintenance in that the admin team or Basis team used to take care of these things. Mostly now it is moved to a cloud solution, so it is easy. Prior to the on-premise system, it is quite a bit easier to install the updates right now. The main point is that SAP has really worked on reducing the complexity of installing the updates and on these things, so that was the great part.
I would rate the overall solution as an eight because there are some platform limitations that need to be worked on. Sometimes, the SAP support team itself will give a direct statement that it is standard functionality. That is why I have cut two points. Otherwise, it is quite good.
If the data volume is huge and the priority is performance, then I would recommend SAP Business Data Cloud. I am in consulting myself. I used to recommend to clients that if they want to take performance as their number one priority and they want to get into new technology like AI as well as they want to get into the cloud, then I assure them that they should get into SAP Business Data Cloud. But if cost is their first priority, then they can still take the private cloud edition and transform their old legacy systems in a phase-wise manner over time. However, costing is something that is impacting. From my overall experience, costing is something where other platforms get an edge over SAP.
I would rate this review as an eight out of ten overall.
