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Definition Cloud Computing

Definition von Cloud Computing

Cloud computing is a Web-based model for purchasing and provisioning IT services, including memory, storage and complete applications.

The main characteristics of cloud computing are flexible, on-demand usage and invoicing of IT services. The term ‘cloud’ refers to the visualization of the Internet, as a hard-to-define medium, in most network diagrams.

The National Institute of Standards and Technology (NIST) extends the definition of cloud computing with the following provisioning models:

  • Infrastructure as a service (IaaS) – The cloud provider provisions all basic infrastructure services including server, storage, network and visualization.

  • Platform as a service (PaaS) – In addition to the scope of IasS, the cloud provider also provisions platform functionality such as databases, development and runtime environments.

  • Software as a service (SaaS) – The cloud provider offers a complete application, whereby each client is a separate tenant.

Various types of Cloud Computing

  • Public cloud – The cloud infrastructure is provisioned for public use. Customers are separated in the infrastructure as clients. The cloud is administered and run by a company, academic/government institution, or a combination of them.
  • Private cloud – The cloud infrastructure is provisioned for the exclusive use of an organization with several users (e.g. departments). The cloud is administered and run by the organization itself, through a third party, or a combination of the two.
  • Hybrid cloud – The cloud infrastructure consists of two or more different cloud infrastructures (e.g. private, municipal or public). These independent infrastructures are linked through standardized or proprietary technologies.

Article: Business Intelligence in the Cloud? A decision support (german-speaking)

Cloud computing is increasingly in demand by companies. Growing interest is also in the provision of business intelligence systems. But what needs to BI applications can actually be met if they are operated in the cloud? What potential and challenges are there?

This topic is Norman Bernhardt (pmOne) and Dr. Stefanie Leimeister (Microsoft) have approached scientifically in a journal german-speaking article (27 pages).

[Translate to English:] Webinare

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Cloud BI with pmOne

pmOne offers cloud-based software and services, including custom BI solutions on IaaS or PaaS as well as complete SaaS applications:

  • Software as a Service (SaaS)
  • Platform as a Service (PaaS)
    • BI solutions based on Office 365 and Sharepoint Online with Power BI
    • custom Enterprise Caching solution(Redis Cache, Azure Services, SQL Azure)
    • Data Warehouse as a Service (Azure DW, SQL Azure)
    • Manufacturing Analytics and Machine Analytics
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Significance of cloud computing for Business Intelligence

The growing volume of semi-structured data (big data), dynamics in information processing and pressure to minimize costs are forcing companies to evaluate alternative platforms for Business Intelligence systems. Cloud computing is a promising option for Business Intelligence applications due to its sheer nature:

  • Higher flexibility and agility
    • Elastic scalability
    • Balancing peak loads
    • Lower time to market
    • Ad hoc capabilities for prototypes and proofs of concept
  • Higher business potential
    • Focus on core business and competencies
    • Potential through higher technological performance
    • Demands for interoperability among companies
    • Integration of new external data sources
    • Shift of risk to cloud provider
  • Cost advantages
    • Potential to optimize the total cost of ownership
    • Higher or lower capital tie-ups? (CAPEX / OPEX), rent vs. buy
    • Demand-driven service usage, usage-based invoicing
    • Simpler license management
  • Higher level of professionalization
    • Base security (e.g. virus protection or firewall) through the cloud provider
    • Updates of the used software through the cloud provider
    • Cloud migration to promote data quality and compliance
    • Cloud migration to promote data quality and compliance
  • Long-term sustainability
    • Access to complex technological advancements (e.g. analytics platform system, real-time/operational BI, data volumes in the petabyte range, processing unstructured data, data mining, mobile BI)
    • Access to the latest software
    • Mobile, global concepts

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  • Erhöhung Flexibilität und Agilität
    • Elastische Skalierbarkeit 
    • Abfedern von Lastspitzen
    • Verringerung Time to Market 
    • Ad-hoc-Möglichkeiten für Prototypen und PoC 
  • Kostenvorteile 
    • Potential zur Optimierung der Total Cost of Ownership 
    • Mehr oder weniger Kapitalbindung? (CAPEX / OPEX), Mieten statt Kaufen 
    • Bedarfsorientierter Leistungsbezug, nutzungsorientierte Abrechnung 
    • Vereinfachung Lizenzmanagement 
  • Erweitertes Geschäftspotential
    • Konzentration auf Kerngeschäft / Kernkompetenzen 
    • Potentiale durch höhere technologische Leistungsfähigkeit 
    • Förderung von Interoperabilität zwischen Unternehmen 
    • Anbindung neuartiger externer Datenquellen 
    • Risikoverlagerung zum Cloud-Provider

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  • Verbesserung Professionalisierungsgrad 
    • Grundsicherheit durch Cloud-Provider (Virenschutz oder durch eine Firewall) 
    • Standards und Zertifizierungen des Cloud-Providers 
    • Aktualisierung der genutzten Software durch den Cloud-Provider
    • Migration in die Cloud zur Förderung von Datenqualität und Compliance
  • Sicherstellung Zukunftsfähigkeit 
    • Zugriff auf komplexe technologische Neuerungen (z.B. Analytics Platform System, Realtime/Operational BI, Datenmengen im Petabyte-Bereich, Verarbeitung unstrukturierter Daten, Data Mining, Mobile BI) 
    • Zugriff auf neueste Software 
    • Förderung Mobilität, Globalität
Dr. Norman Bernhardt
Director Mobility & Travel Industry
pmOne AG
Anna-Louisa-Karsch-Str. 7
10178 Berlin
+49 30 609886-700
Dr. Norman Bernhardt