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Glossary

What is DaaS? – 3 DaaS definitions

In the IT context, the abbreviation DaaS stands for three different service models: data-as-a-service, desktop-as-a-service, and device-as-a-service. All three follow the basic principle of cloud computing – flexible, scalable provision of IT resources over the internet – but differ fundamentally in purpose and application context.

AT A GLANCE

At a glance

  • DaaS stands for three service models: Data as a Service, Desktop as a Service, and Device as a Service
  • all DaaS variants are based on cloud computing principles and offer flexible, scalable solutions
  • DaaS models reduce costs, increase flexibility, and ensure that companies can always use up-to-date technology

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DEFINITION

What is Data-as-a-Service?

Data-as-a-Service is a cloud computing approach in which data is provided flexibly, location-independently, and on demand via the internet. Data is made available as a scalable service – similar to software or infrastructure in the cloud.

Through this DaaS model, companies can access current, cleansed, and standardized data without having to operate their own infrastructure or complex databases.

Typical areas of use for Data-as-a-Service:

  • Business Intelligence and reporting: External or internal data sources are provided centrally and used for analyses and dashboards.
  • Machine learning and AI: Training and reference data is obtained as a service, without building a dedicated data infrastructure.
  • Market data and external data sources: Companies integrate third-party data – such as market prices, demographic data, or competitive information – directly into their analysis processes.

Data-as-a-Service is especially relevant in the context of Business Intelligence: when data is available consistently, up to date, and in high quality, the meaningfulness of analyses and reports increases considerably.

„We obtain part of our data via external data services. DeltaMaster integrates these sources together with our internal systems and provides us with consistently reliable data for analysis throughout.“
Head of Controlling
Industrial company
BACKGROUND

What is Desktop-as-a-Service?

Desktop as a Service makes it possible to provide complete virtual desktops via the cloud. Instead of running on local PCs, applications and data run in a secure cloud environment that users can access from anywhere.

This offers major advantages, particularly for remote work and hybrid working models. DaaS cloud computing in this context means: the entire desktop environment is rented as a service, including maintenance, updates, and security – provided by specialized DaaS providers.

Advantages of Desktop-as-a-Service:

  • location-independent access to working environments – ideal for remote work and hybrid working models
  • central management of software, updates, and security policies
  • fast scaling as user numbers grow or change
  • reduced IT effort through outsourced operation

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BACKGROUND

What is Device-as-a-Service?

Device as a Service is a business model in which companies do not buy hardware such as laptops, tablets, or smartphones but rent it under a subscription model. The provider handles provisioning, maintenance, replacement, and recycling of the devices. Additional services such as software management or security services can also be taken over by the DaaS provider.

This model is gaining importance because it converts investment costs into predictable, ongoing operating costs and ensures that companies always use up-to-date hardware – without high acquisition costs or the effort of managing devices themselves.

HOW IT WORKS

How does DaaS work?

All DaaS models are based on the principle of consuming IT resources as a service instead of operating them yourself. The following building blocks show the typical process using the example of Data-as-a-Service.

Provide data as a service

Data is made available flexibly, independently of location, and on demand over the internet, much like software or infrastructure in the cloud.

Clean and standardize

The provider supplies current, cleaned, and standardized data, without the company having to operate its own complex databases.

Integrate into analysis processes

Internal and external data sources are connected centrally and incorporated into reporting, dashboards, or models.

Scale and keep up to date

The service adapts to demand and ensures that high-quality, up-to-date data is always available.

The people shown were generated with artificial intelligence and are fictitious.

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REQUIREMENTS

What does a company need for DaaS?

For DaaS models to be used successfully, some organizational and technical fundamentals should be in place.

Reliable internet connection

All DaaS variants are based on cloud computing and require a stable, adequately dimensioned network connection.

Security and data protection concept

Since data, desktops, or devices are operated externally, clear rules on access rights, encryption, and compliance are required.

Defined data interfaces

For data-as-a-service, source systems such as ERP, CRM, or external services must be cleanly connected so that data flows consistently.

Standards for data quality

Cleaned, standardized data is the basis for meaningful analyses. Appropriate rules and checks should be established.

Suitable provider choice

Specialized DaaS providers handle operation, maintenance, and updates. The scope of services and service levels should match the need.

DaaS and Bissantz

For Business Intelligence and controlling, the concept of Data-as-a-Service is particularly relevant: the quality and availability of data is the foundation of every meaningful analysis.

DeltaMaster from Bissantz is designed to integrate, consolidate, and prepare data in a decision-oriented way from different source systems – ERP, CRM, databases, or external data services – in a standardized manner. Whether data is obtained from internal systems or via external DaaS sources: DeltaMaster processes it consistently and makes it available quickly, securely, and in an action-guiding form.

Controllers and analysts always work with current, reliable data – regardless of where it is originally stored.

FunctionBenefit
Data integration from source systems connects ERP, CRM, databases, and external data services in a standardized way
Aggregation and preparation prepares data in a decision-oriented and consistent way
Fast, secure provisioning makes data available to controllers and analysts in an action-guiding way
„What matters to us is that reports and dashboards are based on current and reliable data. With DeltaMaster, we work independently of where the data is originally stored.“
BI Manager
Retail company
FAQ

Frequently asked questions

What does DaaS mean in simple terms?

DaaS stands for three different "as-a-service" models: With Data-as-a-Service, you obtain data from the cloud. With Desktop-as-a-Service, your working computer runs in the cloud. With Device-as-a-Service, you rent hardware instead of buying it. What they all have in common: you use something as a service instead of operating or owning it yourself.

What distinguishes DaaS from SaaS?

SaaS (Software-as-a-Service) provides ready-made software applications via the cloud. Data-as-a-Service, by contrast, provides data as a service – that is, the foundation on which applications operate.

Which security aspects need to be considered with DaaS?

The usual cloud security requirements apply to all DaaS models: data encryption, access controls, GDPR compliance, and clear contractual provisions on data storage. With Data-as-a-Service, data quality and data provenance must additionally be reviewed critically.

How are Data-as-a-Service and Business Intelligence connected?

Data-as-a-Service is one possible foundation for Business Intelligence: when data is available as a service, BI platforms such as DeltaMaster can integrate it directly and use it for analyses, reports, and dashboards – without manual data maintenance or a dedicated database infrastructure.

How does Bissantz support the integration of data sources in a DaaS context?

DeltaMaster integrates data from internal systems and external sources in a standardized way via defined interfaces. Regardless of whether data comes from an ERP system, a data warehouse, or an external data service – DeltaMaster processes it consistently and makes it available in a decision-oriented form.

SUMMARY

Summary

DaaS stands for three different service models that all share the same basic principle: IT resources – whether data, desktop environments, or hardware – are provided as a flexible, scalable service instead of being operated or purchased in-house. For controlling and Business Intelligence, Data-as-a-Service is the most relevant variant: it ensures that analyses are based on current, consistent, and quality-assured data. With DeltaMaster, Bissantz seamlessly integrates data from any source into an end-to-end BI process.

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