Webinar
Business Analytics Platform, Hadoop, Industry of Things, Prediction
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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)
Internet stvari, Big Data i tvornica Fischertechnik – 2. dio: Arhitektonske posljedice
Thorsten Stossmeister
25. prosinca 2022
Im ersten Teil dieses Blogs habe ich die Herausforderungen benannt, die Big Data für ein Data Warehouse darstellt.Für die Big Data-Architektur eines solchen EDW im konkreten Fall eines SAP BW on HANA oder SAP BW/4HANA ergeben sich damit bereits einfache Schlussfolgerungen: Es ist nicht möglich,
Internet stvari, veliki podaci i tvornica Fischertechnik – 1. dio: Izazov
Thorsten Stossmeister
25. prosinca 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 Analytics – Front End proizvodi
Adrian Bourcevet
27. kolovoza 2022
SAP Analytics koristi mogućnosti SAP Analytics Cloud-a.✌ Koja je razlika u odnosu na Lumiru, Web Intelligence & Co?
SAP Data Warehouse Cloud – Iskustva u izgradnji podatkovnog modela
Aginthan Thavarajasingam
20. kolovoza 2022
Koristite li podatke o kupnji u svojim izvješćima? Iskoristite naš besplatni predložak! Trebate više podataka? Iskoristite naše iskustvo! SAP Data Warehouse Cloud omogućuje jednostavno i intuitivno proširenje središnjih zaliha podataka. Uvod u SAP Data Warehouse Cloud (DWC) SAP Data Warehouse Cloud rješenje na tržištu je
Vremenska dimenzija u SAP Data Warehouse Cloud
Martin Hesse
28. srpnja 2022
Sa Data Warehouse Cloud Version 2020.14 je SAP omogućio integraciju vremenskih dimenzija. Zašto je vremenska dimenzija tako važna? Prethodno je bilo potrebno mnogo razina agregacije datumskog stupca u podacima koji se učitavaju za SAP Data Warehouse Cloud, npr. za zasebni stupac “Kvart” ili “Godina” ako
Da sam barem znao…
Roland J. Merz
14. svibnja 2022
Lijepo što nastavljate čitati. Aristotel je radoznalost vidio kao vrlinu. Privatno često znate najintimnije detalje o svojim najboljim prijateljima. Ali što je s poslovnim životom? Pogledajmo tvrtku: Znate li njihovu Strategiju? Poziciju na tržištu? Vlasnika? Trenutne izazove? A sada kontakt osoba u tvrtki: Poznajete li
Internet stvari, veliki podaci i tvornica Fischertechnik – 4. dio: Pristup iz SAP HANA putem Smart Data Integration (SDI)
Thorsten Stossmeister
17. travnja 2022
U prethodna dva dijela ovog bloga opisao sam kako tvornička simulacija Fischertechnik generira podatke u obliku CSV datoteke i kako ti podaci ulaze u Hadoop klaster i tamo su čak dostupni kao tablica. Ovaj dio sada se bavi raznim mogućnostima izvješćivanja o sadržaju ove tablice.
SAP Statement of Direction – lipanj 2021.
Roland J. Merz
16. travnja 2022
SAP Statement of Direction lipanj 2021. i kongres CuberServ 2021.
Napredna analiza s R: Pregled
Adrian Bourcevet
25. veljače 2022
U ovom blogu pokazujemo koliko je jednostavno koristiti funkcije napredne analitike u R. Fokusiramo se na različite vrste dijagrama, regresijsku analizu s R i prognozu vremenske serije s R.
55 / 5.000 Vertaalresultaten Što je SAP Analytics? SAP Data Warehouse portfolio
Adrian Bourcevet
17. veljače 2022
Business analytics je izgrađena na dobrim podacima. ☝
SAP nudi razna rješenja za dizajniranje optimalnog skladišta podataka. ♔ ✅
Business Analytics vs. Business Intelligence
Adrian Bourcevet
17. veljače 2022
Business Analytics vs. Business Intelligence. 2. dio bloga (serije) o poslovnoj analitici za raspravu. ✌ Zar već ne znamo pristupe?
Kako poslovnu analizu učiniti uspješnom?
Adrian Bourcevet
17. veljače 2022
Izazov je učiniti poslovnu analizu lakšom ✅ i učinkovitijom ✅. Ovim blogom (serijom) predstavljam svoje pristupe rješenju za raspravu. ✌
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