Webinar
Business Analytics Platform, Hadoop, Industry of Things, Prediction
For further information, please contact our expert.
Adrian Bourcevet
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The Integration of Big Data in Analytics
With Analytics straight into the middle of development of
new services and business models.
Jan Wiesemann
Architect
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.
Our Workshops
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.
- Concept of the Business Analytics Platform
- Fiori Launchpad as entry point
- SAP Data Hub
- Interaction BW/4HANA, S/4HANA, Data Hub and SAC
- Analytical CDS-Views in the programming model of S/4HANA
- Building flexible data models
- Migration strategies to BW/4HANA
- SAP HANA: native Data Warehousing
- SQL-Scripts and AMDP's
- Big Data-Integration
- Hadoop and integration scenarios
- Mongo-DB integration
- R and R integration
- Python and integration options
- Analytics functions of SAP
- Procedure and success factors of predictive projects
- HANA: PAL, BFL and Co.
- Use Cases Predictive
- Statistical (prediction) models
- Performance analyses with SAP HANA
Webinars (in German language)
Webinar
Business Analytics Platform, Hadoop, Industry of Things, Prediction
Webinar
Business Analytics Platform, Hadoop, Industry of Things, Prediction
Webinar
Hadoop, Industry of Things, Prediction
Webinar
Business Analytics Platform, Hadoop, Industry of Things, Prediction
Webinar
Business Analytics Platform, Hadoop, Industry of Things, Prediction
Blogs (in German language)
SAP Statement of Direction – August 2023
Roland J. Merz
11. November 2023
The SAP Statement of Direction August 2023 on Overall Datawarehouse Strategy.
CubeServ Group & Pyramid Analytics
Roland J. Merz
22. September 2023
CubeServ Group & Pyramid Analytics
Since July 2023, the CubeServ Group has been a partner for the design and implementation of the Pyramid Decision Intelligence Platform. Read my blog and find out the reasons for this partnership and why this partnership can also be beneficial for you.
The Internet of Things, Big Data and a Fischertechnik Factory – Part 1: The Challenge
Thorsten Stossmeister
25. December 2022
Das Internet der Dinge (IoT) ist einer jener Begriffe, die sich inflationär in Nachrichten, Vorträgen und Veröffentlichungen finden und deren häufige Verwendung zum schnellen Überdruss beim geneigten Leser führen. Die natürliche Reaktion auf das Auftreten solcher Modebegriffe ist das Abwarten, ob die Welle nicht genauso
SAP Data Warehouse Cloud – Experiences in building a data model
Aginthan Thavarajasingam
20. August 2022
You use purchasing data in your reporting? Benefit from our free template! You need more data? Benefit from our experience! SAP Data Warehouse Cloud allows you to expand central data stores easily and intuitively. Introduction to the SAP Data Warehouse Cloud (DWC) The SAP Datawarehouse
If I only knew….
Roland J. Merz
14. May 2022
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)
Thorsten Stossmeister
17. April 2022
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
Thorsten Stossmeister
17. April 2022
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
SAP Statement of Direction – June 2021
Roland J. Merz
16. April 2022
The SAP Statement of Direction June 2021 and the CubeServ Congress 2021
Advanced Analytics with R: An Overview
Adrian Bourcevet
8. February 2022
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.
Advanced Analytics with R and SAP Tools
Adrian Bourcevet
20. May 2021
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.
Cloud – curse or blessing?
Adrian Bourcevet
22. February 2021
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.
Data Platform – An Important Pillar of Digital Transformation
Adrian Bourcevet
16. February 2021
The development of an end-to-end data platform is an essential building block for successfully shaping digital transformation.
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