SAP Analytics
Quick and meaningful insights with SAP Analytics. The SAP Business Technology Platform contains tools in the areas of Business Intelligence, Data Warehousing and Corporate Planning. In addition to the classic topics such as Business Intelligence, which deals more with past-related data, companies can also use SAP Analytics to determine possible future business developments.
How Companies make the Most of their Opportunities
The amount of data worldwide will grow by about 27 % per year in the future. This development will have an enormous impact on companies, but at the same time it will also offer them great opportunities. However, with SAP Analytics and the in-memory technology of SAP HANA, you are well prepared. We support you in the changeover to these technologies and are very familiar with the interaction of these two SAP technologies.
BIG.Cube supports us safely and comprehensively in small as well as large, complex projects due to its high level of professional and technical understanding.
Interplay between Expertise and Technology
For us, the combination of in-depth professional know-how and technological expertise is very important. We have also aligned our approach accordingly: our team of business analysts has great technical understanding and supports the requirements specification. In doing so, they are in close consultation with the developers who subsequently implement the requirements. Our developers are experts in SAP technologies and will take into account the important parameters for a successful project right from the start.
Everything from a Single Source
This means that our clients get everything from a single source and greatly appreciate this advantage. We are a partner you can rely on in all phases of the project up to the productive use of the solution and, if desired, beyond. Especially since we have expertise from the requirements specification to BW/4HANA migration to report creation and SAP HANA Basis administration.

Challenges in SAP Analytics Projects
The Top 5 Challenges in SAP Analytics Projects:
- Constant growth of the company data
- Increasing the complexity of data structures
- Real-time reporting vs. data quality
- Self-service visualisation
- Data protection and security
We know the challenges and solve them together with you. In our view, the definition of an analytics strategy and close cooperation between the technical and IT departments are two important criteria for the success of analytics projects.
Data Warehousing
In Data Warehousing, as in visualisation, there are many different tools. In this area we are not only experts in the fundamentals of Data Warehousing but also know the technologies inside out.
SAP BW/4HANA
SAP BW/4HANA is a Data Warehouse solution based on SAP HANA. With SAP BW/4HANA, SAP is cutting all the old ties from SAP BW on HANA and creating a completely new solution. Old data models have to be migrated in order to continue to be used. Converting to SAP BW/4HANA is therefore costly, time-consuming and risky. Nevertheless, migration is worthwhile.
Reasons for a SAP BW/4 HANA Migration
- Easy integration of SAP and non-SAP applications
- Mixed architecture support (SAP BW & HANA Native)
- High user-friendliness thanks to modern & intuitive user interface
- Processing of large amounts of data in real time possible
- Simplified data modelling/administration through fewer object types & simpler data flows
- Application of LSA++ architecture guidelines
- Complete SAP HANA integration
Evaluation of SAP BW/4HANA
Result: Feasibility Assessment for the Introduction of SAP BW/4 HANA-
Standard Procedure incl. Check List
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Result document as a decision document
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Binding offer for the introduction
- The application of SAP LSA++ architecture guidelines enables state-of-the-art reporting capabilities, minimises maintenance efforts and accelerates the availability of data for visualisation.
- If development guidelines, naming conventions and authorisation concepts already exist at the beginning of a project, high efficiency is ensured.
- The use of standard tools continues to be a simple and sensible way to reduce project costs and maintenance costs in BW/4HANA.
- Understanding one's own business and business model also plays an important role in choosing the right partner. Just like the specification of the technical requirements. This enables you to optimise the data model from start to finish.
- With the increasing complexity of SAP BW landscapes, the quantity and complexity of the business logics is also continuously increasing. However, these are often outdated and contradictory. We support you in updating and standardising.
- Data Lineage is becoming increasingly important for Data Governance. However, this is not sufficiently supported in the standard SAP BW, so we provide support via manual adjustments.
We chose BIG.Cube for the migration of our SAP BW to SAP BW/4HANA because the colleagues at BIG.Cube have excellent business and technical expertise.
Mixed Architecture Projects
Our expertise in both SAP BW and SAP HANA makes us the ideal partner for mixed architecture projects. We support our clients in the transition to the latest SAP BW technology and show modelling approaches to create sustainable BI solutions.
Here, too, we know the risks and solutions, such as the modelling options that present themselves in relation to SAP BW and HANA objects. These must be clearly defined from the outset using data modelling guidelines so that the system remains consistent. In addition, depending on the source system (SAP or non-SAP), we apply the latest Data Provisioning methodologies. The mixed scenario approach is particularly suitable when using relational databases.
Which Data Warehouse Solution is Best for You?
We are Happy to Support you with our Experience in Tool Selection.
Visualisation & Individual Frontends
There are many tools and possibilities for data visualisation. However, there are also major differences between the solutions. With SAP Analytics Cloud (SAC) and SAP BusinessObjects Business Intelligence, we present two tools from SAP that we are convinced of. Particularly as both the connection to the data sources and the administration of both tools are part of our core competencies.
SAP Analytics Cloud (SAC)
The SAP Analytics Cloud is a self-service business analytics tool. It enables both the analysis and visualisation of the current situation and the creation of intelligent plans, thanks to its extensive forecasting tools. It also supports predictive analytics and AI. The in-memory technology of SAP HANA and machine learning allows the creation of forecasts based on real-time data.
- In order to be able to fully utilise the self-service functionalities, support for the SAC designers on the part of IT is very important. A robust and detailed authorisation concept is also essential.
- For a live connection, knowledge of the data source is advisable. In addition, the underlying queries should be very high-performing, otherwise the building of the stories suffers.
- For many technical requirements, optimisation of the back-end (data mart layer) is necessary.
- In order to standardise reporting and layout, centrally specified templates are essential.
- With the help of technical documentation of models and data sources, end users can quickly build their own stories. In this way, you increase confidence in the solution.
- New functionalities and adjustments in the layout, which are made available by SAP on a quarterly basis, should be communicated to all users.
Our Offers for an Optimal SAC Start
SAC Training (Standard)
For up to 10 participants from your company-
Training Content:
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SAC-Tools (Model, Story & Page)
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Log-In & User Administration
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Creating a story incl. Storydesign/-layout
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Geodata model with live connection
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Collaboration with other users
SAC Training (Individual)
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Individ. Preparation on your SAC Tenant
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Training on your SAC Tenant
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All content from SAC Trainings (Standard)
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Further individual contents by arrangement
SAP BusinessObjects Business Intelligence
SAP BusinessObjects Business Intelligence refers to a suite that provides centralised data reporting, data visualisation and data exchange. It is operated on-premise as a BI layer for the SAP Platform Business Technology Platform and provides its users with decision-support information.
The suite promotes the independent data analysis of its users in self-service and thus increases decision-making in the company. At the same time, it reduces the effort in the IT area.
- The SAP BusinessObjects BI Suite as an integration of different tools for all requirements.
- Analyse Excel data easily and keep it consistent with SAP Analysis for Office.
- SAP Lumira for the optimal visualisation of your data.
- Mobile access from your smartphone at any time thanks to SAP BusinessObjects Mobile.
SAP Analytics
We are happy to support you in creating a sustainable solution with low maintenance costs. In doing so, we rely on the methodical application of SAP best practices and the SAP standard.
FAQ's to SAP Analytics
SAP BW has undergone immense technological change in recent years. We are convinced that not only BW will play a role, but also that the Data Warehouse is the central part of a Data Analytics solution.
SAP BW makes it possible to harmonise and combine data from different sources and, above all, to analyse it in real time. By simplifying the LSA++ architecture and applying HANA technology, large amounts of data are no longer a problem and loading times are no longer a weak point.
Compared to other Data Warehouse technologies, the SAP BW solution offers a more cost-effective way to analyse SAP data. At the same time, SAP BW can use all types of data sources through the integrated use of SDA and SDI connections.
If you want to combine the flexibility of the HANA Native approach with the fast and cost-effective data modelling of SAP BW, the Mixed Architecture is probably the best solution. The two approaches coexist in the same system and complement each other.