„The world is spinning faster and faster: customers can no longer or no longer want to continue their long-standing relationship, existing bank balances suddenly become a burden due to negative interest rates … In this market environment, we support our customers with first-class business analytics projects to make better decisions based on real-time data, to develop new services and business models, and to recognize upcoming challenges in time. Standardized reports and analysis are the basis. Working creatively with numbers and their correlations to identify opportunities and risks requires intensive communication, experience from similar situations and fair cooperation: sustainable consulting for business analytics.” Adrian Bourcevet, Chairman
We at CubeServ, are specialized in making relevant data and information systematically useable. Our core competency is advising companies on the implementation of sophisticated business analytics projects.
We offer value-added premium consulting and high-quality implementation and operational support according to best-in-class standards.
By focusing on SAP products, we have comprehensive specialist knowledge, particularly extensive know-how about best practice solutions and, of course, an excellent network and close partnership with SAP.
Our mission: to make our customers successful in the long term through strategic information management. We accompany you on this path – starting with value-oriented performance management, a comprehensive BI strategy, to the introduction and operation of appropriate best-practice solutions.
The goal of business analytics is to solve business problems in the entire management cycle of planning, management, and control on the basis of evidence. Evidence is understood to mean well-founded, objective insights into an issue. They are obtained in the course of the business analytics process on the basis of data from a wide variety of areas inside and outside the company using algorithms from the fields of statistics, data mining and machine learning.
The concept of the business analytics platform helps you organize your data so that everyone can use it. It forms the basis for a uniform understanding of the underlying events and processes. We set the stage for you to run your business or organization in a fact-based and successful way. Find out more in our blog post Business Analytics Platform: Agility and Governance.
Both terms are used for similar issues. The difference in the use of the two terms lies mainly in the responsibility for BI applications. The organization and especially the operation of BI solutions were only possible satisfactorily with a high level of specialized know-how.
The concept of the business analytics platform helps you organize your data so that everyone can use it. It forms the basis for a uniform understanding of the underlying events and processes. We set the stage for you to run your business or organization in a fact-based and successful way. Read more in our blog post Business Analytics Platform: Agility and Governance.
The overarching view of big data, IoT and data warehouse applications is currently one of the major challenges for data-driven companies. The Business Analytics Platform serves as a starting point for joint success, into which a combination of various external data can be inserted in a value-creating manner. Learn more about our approach and our concept for a successful Business Analytics Platform.
SAP Analytics Cloud combines BI, advanced and predictive analytics, and planning capabilities in a cloud environment.
With SAP Analysis for Office, you can easily perform ad hoc analyses of data from SAP BW and SAP HANA in Excel.
SAP Lumira combines self-service business intelligence and data visualizations with interactive dashboards and analytics software.
SAP BusinessObjects Web Intelligence, WEBI for short, is a web-based tool from SAP for creating and distributing reports.
With SAP Crystal Reports, SAP offers a very flexible and powerful tool for creating formatted reports and report books.
PowerDesigner is SAP’s industry-leading data modeling tool. It provides a data model-driven development methodology to support and align business and information technology (IT).
Microsoft Power BI is a collection of business intelligence (BI), reporting and data visualization products and services for individuals and teams.
Tableau is a visualization software and helps analytics teams turn data into insights through analysis and visualization. In addition, Tableau can be operated both in the cloud and on the company’s own server.
With SAP Business Warehouse, SAP provides one of the leading enterprise data warehousing platforms, which can also be installed on all common database systems.
SAP BW/4HANA was developed specifically for SAP’s own in-memory database SAP HANA and can therefore perfectly exploit all the performance and functional advantages of the HANA database.
With SAP Datasphere (aka SAP DWC), SAP offers a cloud solution that allows you to quickly and agilely create sophisticated analytics applications according to your desires.
With SAP HANA, SAP provides a high-performance in-memory database that enables real-time data-driven decisions and actions while supporting all workloads.
The majority of companies use advanced analytics with R and SAP tools to forecast future events and make data-driven, well-informed decisions.
While traditional business intelligence (BI) analysis tools examine historical data, advanced analytics tools focus on predicting future events and behaviors. They enable what-if analyses to predict the impact of potential changes in companies’ business strategies.
These include techniques such as predictive analytics, data mining, Big Data analytics and location intelligence. These technologies are common across many industries and are used in marketing and healthcare as well as risk management.
With our cloud software PeoplePLAN, you can project your current headcount incl. costs in just a few seconds. This allows you to create the basis for your planning process in the shortest possible time and to concentrate on the really important questions.
PeoplePLAN can process data from various operational HR systems, such as SAP HCM, SAP SuccessFactors or Workday.
Your sensitive data is always safe with PeoplePLAN: The integrated data management and authorization concept is DSGVO compliant and supports you in mapping all process roles and process participants of your company.
Traditional HR is in a state of flux. Business partners, shared service centers (HR SSC) and centers of excellence (CoE) are emerging. Processes are being shared and optimized, and the employees involved are being transformed into new roles and job profiles.
…and HR IT? What contribution can the HR application landscape make to optimally support the organization and the processes on the path to excellence?
The operational support of processes with ERP software from e.g. SAP with its modules for payroll and personnel management has been a constant in the HR IT landscape for decades. Reports and key figures are generated directly from the operational data.
Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
Mehr erfahren
Is your personnel resource and personnel cost planning also a very time-consuming and therefore cost-intensive process every time? Did your previous solution based on SAP HR and e.g. MS Excel or other tools not meet your desire for an integrated, end-to-end IT-supported planning process?
You want to make your planning more efficient, faster and more flexible than before? Do you want an integration with your operational systems (SAP FI/CO, etc.) as well as an approval, control and monitoring process tailored to your company’s needs throughout the entire planning process? In addition, do you want a high level user acceptance through an intuitive planning interface that enables personnel measures and personnel costs to be planned directly by managers? If these questions are also your questions, then we have a solution for you!
Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
Mehr erfahren
SAP Fiori Launchpad is the new visualization technology from SAP to provide IT, business and management with a central entry point for any device.
Whether as a BI portal or enterprise portal – with the Fiori Launchpad Extensions by CubeServ, graphic tiles or analytical tiles can be easily created and the graphic or the displayed key figure can be filled with a BI query without creating an oData service. Behind each tile, a separate BI report or ERP application can be linked and displayed in a frame.
Another feature of the Fiori Launchpad Extensions by CubeServ is the creation of a folder or tree structure in the Fiori Launchpad. The folder structure is suitable for mobile devices and the tree structure for desktop structuring.
The CubeServ Financial Planner offers comprehensive cost center planning directly on your SAP BW system at a fixed price.
Primary costs, secondary costs as well as statistical key figures and internal cost allocations can be comprehensively planned. With CubeServ Financial Planner, you avoid unnecessary loading times, and full integration with SAP S/4HANA or SAP ERP takes place at the push of a button. Synchronization with the SAP system takes place in real time.
For your cost center planning, you can use both SAP BW/4HANA and SAP BW on HANA.
Mit dem Laden des Videos akzeptieren Sie die Datenschutzerklärung von YouTube.
Mehr erfahren
Take control of your data: Mobile reporting with SAP Analytics Cloud or MS Power BI. In this blog we show the strengths of the solutions.
Our training video on the REST API interface in ABAP programming shows how you can transfer data from other data sources to the SAP Business Warehouse (BW) and process it there.
In addition to the exciting topic of how you can shape your own analytics future, you will find numerous other exciting reports in our “CubeServ INSIDE LOOK” newsletter.
In today’s digital age, the success of any business lies in leveraging its data and transforming it into actionable insights. However, this requires the implementation of a comprehensive data strategy. Yet even as companies invest more heavily in data and analytics initiatives, they face old
