If you are considering an implementation of a Business Intelligence Tool it is of vital importance to understand the difference between classical Business Intelligence and Analytics. The conventional Business Intelligence only deals with analysis based on the past. In the past few years, however, the demand for business intelligence has increased and data mining has come into play. The term analytics now no longer only includes a look into the past, as it was the case in the past decades, but also predictions for the future. The goal is to better understand the current situation in the company and to make reliable decisions.
High-quality data is the basis for successful decisions. Only with detailed data analysis can companies sensibly optimize internal processes, plan liquidity, align products with customer requirements, make rapid adjustments to market developments and make strategic investments.
Digitization has resulted in rapidly growing volumes of data - for example the Internet of Things (IoT), Big Data or Cloud Computing - but it is also accompanied by new challenges for technologies and processes. This is because data of the most varied types is scattered in structured and unstructured form in systems such as enterprise resource planning (ERP), customer relationship management (CRM), supplier relationship management (SRM), e-commerce or human resources software, databases and proprietary data warehouses. Merging these data silos without a complete solution and evaluating the available information in terms of a sustainable basis for decision-making is, if at all, only possible with immense effort. Without a business warehouse system, companies will only ever see a certain part of the reality and have to base their decisions on insufficient data.
Therefore, you should use a holistic and sustainable business intelligence tool to provide a solid basis for successful decisions and sustainable statements. We as IBsolution would like to support you with the implementation and realization of your businessiIntelligence and analytics projects.
Intelligent controlling based on defined KPIs (Key Performance Indicators) is essential for successful corporate management. With integrated key performance indicator systems, you can precisely evaluate the KPIs and receive exactly the data you need to monitor profitability and business development. Thanks to real-time reporting, you are always in a position to intervene and take the necessary measures.
A distinction is made between operative reporting, which is mapped in the operative system (classic ECC & SAP S/4HANA) and regular reporting, which is used with the help of a data warehouse.
In today's world it is crucial to develop attractive business models for the future and to gain a competitive advantage over the competition. Predictive Analytics supports you in this. Based on data from the past, forecasts for the future are created in order to use these insights and to initiate decisions at an early stage.
In the past years, the desire on the part of specialist departments to create reports independently has grown.
Historically, companies have had to break away from the fact that reporting products are always developed and made available within the IT department. The resulting demands of the business departments on the subject of BI often lead to the fact that the personnel requirements within the IT department can hardly be estimated.
Self-service unifies the two "worlds" of business and IT. The right choice of special technology and the adaptation of the development processes or the creation of a "working model" result in numerous advantages for companies.
The SAP Business Warehouse covers all areas of responsibility to operate a uniform data warehouse for your entire company. SAP BW is a combination of databases and database management tools. It offers interfaces to all SAP applications and external data sources, from which all relevant data is imported automatically and rule-based and defined key figures are generated.
Using integrated ETL functions (ETL = Extraction, Transformation, Load), you can have your data cleansed during import and put into the desired form. In conjunction with business intelligence and analytics solutions, you can create effective reports and give your employees access to powerful, yet easy-to-use evaluation functions at any time via self-service functions.
SAP BW basically runs on any database. However, the Business Warehouse only unfolds its full potential in interaction with the SAP HANA platform. Its in-memory technology makes it possible to process huge amounts of data in real time and analyze transactions as they occur. For planning and analysis, users always have the latest figures at their fingertips and can compare historical data with live data.
Since you always know immediately about new developments, opportunities and risks, you can react immediately: Take advantage of sales opportunities or stop suspicious activities before damage occurs. That way, you'll be one step ahead of the competition.
The impressive performance of the SAP HANA database is sufficient for even the largest data volumes and for billions of objects. This makes it possible to use SAP BW as an enterprise data warehouse even in data-intensive scenarios and to store all data centrally - even with unstructured, geo and Hadoop data. In this way, extremely powerful yet cost-effective systems can be implemented.
Die SAP Analytics Cloud (SAC) kombiniert als 3-in-1-Lösung die Funktionen Business Intelligence, Planung und Predictive Analytics in einem Tool und ermöglicht Echtzeit-Datenanalysen aus der Cloud.
So müssen Sie nicht mehr zwischen verschiedenen Tools hin- und herwechseln, sondern verfügen unternehmensweit über eine einheitliche Datengrundlage und können unternehmensweit fundierte Entscheidungen treffen. Die SAP Analytics Cloud (SAC) ist sowohl als Ad-hoc-Reportingtool für bestimmte Abteilungen geeignet, als auch für unternehmensweite Business Intelligence-Lösungen. Anwender können Daten filtern, bearbeiten und modellieren und aussagekräftige Grafiken, Tabellen und Storyboards bauen.
In the past, an embedded business warehouse was also called "Mini BW". This can be activated, for example, in classic SAP systems such as SAP S/4HANA and used for operational reporting. It is often used in the area of controlling or production. An embedded SAP BW offers some advantages in the above mentioned areas. One of the most important advantages is probably the topic of real-time reporting in order to be able to react very quickly to requirements/disruptions in production, for example. Furthermore, with newer technologies such as SAP S/4HANA and a clean architecture, no additional storage space is required for reporting.
From a purely technical perspective, the SAP Data Warehouse Cloud belongs to the so-called SAP HANA Cloud Services. In addition to the Data Warehouse Cloud, these include numerous other services such as the SAP Intelligence Cloud, SAP HANA Cloud and another product from the Analytics portfolio, namely the SAP Analytics Cloud.
Cloud solutions are currently very interesting for many companies and have immense charm compared to an on-premise solution. In a very short time, logical platforms can be created that are optimally matched to each other in order to develop perfect solutions or applications for the most diverse business lines. Another big advantage are cost saving potentials, which can contribute positively to the company result in a difficult economic situation.
The SAP Data Warehouse Cloud enables decision makers to make decisions based on reliable data. It serves as an intermediary between IT and business and exploits the advantages of a business analyst with IT affinity.
Take advantage of our consultants' extensive experience and proven best-practice approaches. Lay a solid foundation for your business analytics strategy.
Our products for your success
You have chosen SAP Data Warehouse Cloud as your software tool. We will help you get started with the help of the Enablement Package for SAP Data Warehouse Cloud.
Hardly any planning has to be as flexible, agile and reliable as personnel (cost) planning. With the help of AGIMENDO.personnel you can plan in clearly arranged interfaces and with a few mouse clicks, while the central (personnel) controlling keeps a constant insight into the planning. So you always make the right decisions and are always informed about your personnel development.
Clearly structured project planning and effective project management are decisive basics to optimally support the strategic development of your company. The software solution AGIMENDO.project is fully integrated into the Business Warehouse (BW) of SAP. It serves to create, prioritize, plan and approve or release projects in a user-friendly way with Fiori user interfaces.
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Put your business analytics in the competent hands of IBsolution. We have already successfully completed more than 750 projects and made over 400 customers happy. We are not only familiar with the technological, but also with the economic aspects of demanding business analytics projects.
Together with you we develop intelligent strategies, define and implement processes, offer downstream support and train your employees. With our ready-made packages, you receive convincing solutions that are ready for use within a very short time.
Predefined business content and modelling patterns make it easier for you to get started, so you don’t have to start from scratch. Take advantage of our consultants’ expertise and best practice approaches and create a solid basis for your business analytics project.
Benefit from our Know-How
In many places there is still a lack of clarity about the area of application and the objectives of the SAP Data Warehouse Cloud. We have summarized the most important points for you in our free white paper.
With the free Word template, you create a requirement specification for a new investment planning tool in less than 1 hour. Simply download, tick boxes & fill in.
In our infographics we bring things to the point. We have summarized the differences between the two solutions in a short and clear form and provide recommendations in which scenario you should work better with the SAP Analytics Cloud or with Microsoft Power BI.