The Integration of Big Data in Analytics
Business Analytics Platform
Big Data-, IoT & Data Warehouse Applications
The comprehensive view of Big Data, IoT and DataWarehouse applications is currently one of the biggest challenges for data-driven companies. Here, the Business Analytics Platform serves as a starting point for joint success, into which a combination of various external data can be inserted to add value.
Our approach for this solution platform is to use the existing investments in high-quality business data – typically we find these in SAP ERP, S/4HANA or BW/4HANA – and find new relationships by combining them with new data types (IoT, texts, images etc.)
Analytics – the heart of the development of new services and business models
Solutions require the creativity of business, data scientists, data stewards and IT experts. New data types are sometimes easier or cheaper to process and/or store in other technologies.
We lay the foundation for a common understanding in workshops tailored to your needs. In these workshops we build the bridge between the different players and build a strong foundation for future challenges. Afterwards, we support you in developing a customized strategy and roadmap for your company.
Webinars (in German language)
Blogs (in German language)
Glad you keep reading. Aristotle understood curiosity as a virtue. In private life, people often know the most intimate details about their best friends. But what about in business life? Let’s take a look at a company: Do you know their Strategy? Market positioning? Owner?
The Internet of Things, Big Data and a Fischertechnik Factory – Part 4: Access from an SAP HANA via Smart Data Integration (SDI)
In the two previous parts of this blog, I described how the Fischertechnik factory simulation generates data in the form of a CSV file and how this data gets into the Hadoop cluster and is even available there as a table. This part is now
The Internet of Things, Big Data and a Fischertechnik Factory – Part 6: Addressing Hadoop from ABAP: Datavard’s GLUE Middleware
In the previous part, data from ECUs were written to a CSV file, this was imported into Hadoop via Kafka and read via Hive adapters or Impala adapters in a HANA database. These adapters provide a convenient way to access the Hadoop data in read-only
The SAP Statement of Direction June 2021 and the CubeServ Congress 2021
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.
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.
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.
First of all, a Happy and successful New Year to everyone. I know, you are all busy with Year End Closing but “We need to talk!” and I will keep it short. Well, quite some of you will connect this expression with something negative. I
With Data Warehouse Cloud version 2020.14, SAP has enabled the integration of time dimensions. Why is the time dimension so important? Previously, many aggregation levels of a date column were required in the data to be loaded for SAP Data Warehouse Cloud, e.g. for a
SAP Analytics uses the possibilities of the SAP Analytics Cloud ✌ So what is the difference to Lumira, Web Intelligence & Co?
Business analytics is built on good data. SAP offers various solutions to design the optimal data warehouse. ♔ ✅