What is our primary use case?
We are only using the dashboards and promoting the self-service BI features. the usage is limited just to visualization. We integrated dashboards for monitoring KPIs. sending SMS' is used based on threshold in few dashboards. Otherwise, it's more used for visualization and not data mining because it requires some licenses that we didn't buy.
How has it helped my organization?
Currently we are working with the Web Intelligence on premise but we don't have a lot of features. We would like to get some more features related to predictive analytics. We are just using dashboards and monitoring KPIs on top of our data warehouse.
What is most valuable?
The features that I have found most valuable are that we are able to build all repositories needed and provide our business users with self-service BI. We are building a repository on top of our data warehouse and building all the dashboards and KPIs.
Sometimes, when monitoring our network or monitoring the KPIs, if we have something drop lower than a threshold, an email or an SMS will go out. We are using these features, but we are not using predictive modeling, clustering, or data mining. We don't have those.
What needs improvement?
In terms of what could be improved, it would be good if they could integrate the possibility for end users to create end models for themselves that they can use, especially for site operators, and if they could provide the end user not only the self-service BI, but also the self-service analytics, based on a predefined model, the same way that Oracle did (I manage Oracle, as well), because I like that feature with Oracle.
I would like them to implement analytics the same as Oracle does and have the machine learning model within their Web Intelligence.
For how long have I used the solution?
What do I think about the stability of the solution?
It is a very stable solution and it works well.
It doesn't work in memory, only on the server side. We are not taking this benefit, but it's very stable and it's answering the need.
What do I think about the scalability of the solution?
SAP BusinessObjects Business Intelligence Platform's scalability is based on the need and it's not scalable based on Alfa's needs, which I believe, from a data warehouse perspective, the data is around 12 terabytes. We are not talking about petabytes.
We have 25 end users using it.
We have users from the customer experience department, the marketing department, from customer service, from finance, from budgeting, and we have the chief also working on it.
How are customer service and technical support?
I am not so satisfied with the technical support because I am opening cases but it's taking too much time.
Which solution did I use previously and why did I switch?
We previously tried to work on Power BI and on Microsoft SharePoint. But with Power BI, there are a lot of limitations. Its visualization is very good, but you have a lot of limitations, and it uses a lot of memory. It does not provide efficiency and scalability when we are talking about a high volume of data. When you are talking about simple reports, it's very good and its visualization is great, but sometimes business users are in need of answering complex questions, so here SAP was better for me.
How was the initial setup?
The initial setup was not that straightforward, but we were able to manage.
We have a lot of server process and configuration, plus the agents and everything. So from an administrative perspective, it is complex, but we were able to manage because of our technical expertise.
Because we did it internally, I believe it took us two to three months.
We got the environment ready, then the repository, it was packaged by phases and by project.
We launched an RFP related to an enterprise data warehouse, then we split this RFP in phases, with data integration, data modeling and then the BI. During the BI part, we used an implementation strategy to try to implement it.
What's my experience with pricing, setup cost, and licensing?
We have an on-premise license. We have one license for an admin and we have a license for our users, enough for 27 user licenses. We pay on a yearly basis. We are selling support, but as I said, we are using only the Web Intelligence and the dashboards. We didn't buy the other models or feature. We don't have the predictive analytics or the SAP HANA. We don't have any of that.
The servers and the preparation to go on the servers are costs beyond the licensing fees.
Which other solutions did I evaluate?
We checked Oracle. It used to be OBIEE back then, and in 2010 and 2005 it was not as good as today. Now, Oracle has worked a lot on their product, especially with Oracle Analytic Server. But back then, when we made the decision, it was Oracle OBIEE and it was very limited. It had bad dashboards, they were not appealing to the end users.
What other advice do I have?
SAP is a stable solution, but you need to have multi-experts to be able to maintain it.
The biggest console that we implemented is using SAP as a self-service BI. It is an incentive for business users and different stakeholders, to be able to use the self-service BI and answer their questions instantly. This is conditioning that we as IT are using the right models, the right repository, and requiring all the data for them.
On a scale of one to ten, I would rate SAP BusinessObjects Business Intelligence Platform an eight.
Which deployment model are you using for this solution?
On-premises
Disclosure: My company does not have a business relationship with this vendor other than being a customer.