“SAP and users were best friends – and then came the cloud.” This quote aptly illustrates that some companies are currently taking a critical view of SAP’s path and offerings. Yet many of our customers are facing enormous challenges. 1. the four most important ones
“In God we trust. All others must bring data.” Whatever your attitude towards God, I am convinced that the quality of decisions determines which goals we set ourselves and which we achieve. We can almost always find the data in the data platform, the data
Today’s business world is characterized by rapid change and constant innovation. Companies face numerous challenges. From the need to stay at the cutting edge of technology to the need for self-service options, to the importance of business analytics and semantics – all of these aspects
Decisions are the key to success. A data lakehouse based on AWS S3 and SAP Datashpere is a good foundation.
How can I turn my dashboard into an irresistible dashboard? Benedikt Bleyer (CubeServ Group) and Lars Schubert (graphomate) gave us some ideas at the 19th CSC in Zurich. Everyone is looking for the wow effect, so I would like to pick up on these topics.
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
How do you leverage the full potential of their data? Networking the various stakeholders is the most promising way to achieve high-quality results with fast, agile work. This is how report recipients become shapers with facts. Data Mesh points the way to collaboration at eye level. You haven’t heard about the Data Mesh concept yet, I’d be happy to give you a brief introduction.
What will 2023 bring to the SAP Analytics landscape? The user experience in the SAP Analytics Cloud will be fundamentally improved and, with the One Data Catalog, the SAP Data Warehouse Cloud will establish itself as a central pillar.
Data Culture in Today’s Data-Driven World With the right data culture, you will recognize the best courses of action in your everyday professional life. In doing so, you establish an excellent decision-making process that guides you to the best results, even in stressful situations.The world
AWS Cloud: We migrated our 50 systems in 100 days. I’ll give you an introduction here, so you can get to know the AWS Cloud.
In this blog we show how easy it is to use Advanced Analytics functions in R. We focus on different graph types, Regression Analysis with R and Time Series Forecast with R.
R programming language is one of the most popular languages when it comes to data science and statistical analysis. This is mainly because R was specifically built for statistical key figures and data analysis. While R was developed in the early 90s, it wasn’t until
The call for more self-service cannot be ignored; gain confidence with a proof of concept of how SAP Data Warehouse Cloud can help you in your business.
When consulting colleagues go back to university… they often have a presentation on exciting topics from the field in their luggage! So did our team leader René Lechtenböhmer (Alumni of the faculty) and Jan Wiesemann (Predictive Analytics Consultant). Several times a year, the WIAI.community e.V.
Combine graphomate extensions with Tableau and your business analytics platform data; I’ll show you the benefits and what to look for.
How SAP PowerDesigner supports data model-driven development 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). In this article, we take a look at what SAP PowerDesigner is and how it
Is Power BI the right front end tool for you and your users? Learn what Power BI can do and why companies use it.
Why bother with SAP R integration? The vast majority of organizations use advanced analytics with R and SAP tools to forecast future events and make data-driven, informed decisions. With this blog post, I highlight the benefits and essential connections.
Business analytics and data governance ensure sustainable success when they are brought into the right balance. CubeServ supports many well-known customers in this endeavor.
The cloud is the subject of very controversial discussions. For me, the advantages are in the foreground. With this blogpost I will show you why.
The development of an end-to-end data platform is an essential building block for successfully shaping digital transformation.
SAP Analytics uses the possibilities of the SAP Analytics Cloud ✌ So what is the difference to Lumira, Web Intelligence & Co?
The data warehouse forms the foundation for consistent, good decisions.✅ ☺ I introduce the basics ✎ and illustrate them using SAP BW.☝
Business analytics is built on good data. SAP offers various solutions to design the optimal data warehouse. ♔ ✅
Business Analytics vs. Business Intelligence. Part 2 of the blog(series) on business analytics for discussion. ✌ Don’t we already know the approaches?
Making business analytics easier ✅ and more effective ✅ is challenging. With this blog(series) I present my solution approaches for discussion. ✌
Simplification for your reporting With the highly formatted standard reporting for simplified “SAP Analysis for Microsoft Office”, you unify and accelerate your Reporting. You run your reporting with Excel, but struggle with the following problems: High complexity Low performance (capacity limits) Difficulties with multiple use
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