Analytics-as-a-Service: from data overload to clarity
Understand your business data on the fly and solve complex data challenges with ondeva. 100% GDPR-compliant.
foundations
What is AaaS (Analytics-as-a-Service)?
The term AaaS is closely connected to PaaS. Analytics-as-a-service (AaaS), sometimes also referred to as agile analytics, means converting utility computing into a service-based model for analytics
purpose. Depending on the use case, AaaS can also be called Data-Analytics-as-a-Service (DAaaS), Big-Data-as-a-Service (BDaaS), and Business-Intelligence-as-a-Service (BIaaS).
Forrester Research has predicted an emerging trend in which business intelligence (BI) and business analytics (BA) are evolving towards self-service, widespread adoption, social integration, scalability, cloud infrastructure, and real-time processing. This is how Analytics-as-a-Service concept started.
impact
What is the purpose of AaaS?
Here are the 3 reasons why you might want to use AaaS solutions:
- Better ability to make strategic decisions
Derive actionable insights from data and reduce the time it takes to make decisions. By outsourcing the complexity of data analysis, businesses can focus more on their core activities and goals.
- Better insights into customers
Tailor your products, services, and interactions to meet individual customers' specific needs and preferences.
- Cost reduction
AaaS operates on a subscription-based model, so you can avoid the high costs associated with setting up and maintaining your analytics infrastructure.
Build for free with ondeva
No infrastructure. No coding. Try ondeva today and create your first app - on us.
problem space
Common challenges with Analytics-as-a-Service
According to the AaaS report, 44% of CRM users estimate that poor-quality data causes their company to lose over 10% of annual revenue. Here are other challenges they face with data:
Complexity of data and lack of know-how
The growing volume, variety, and velocity of data coupled with the skill shortage are overwhelming many businesses.
- Businesses still rely on outdated or legacy systems that are not designed to handle modern analytics tools.
- Hard to align business needs with IT and analytics teams.
Data security and privacy
Concerns about the security of sensitive data, especially compliance with regulations like GDPR, lack of control over data.
- Concerns about data security and compliance in cloud platforms.
- Lack of flexibility and control over analytics tools, limited customization to business-specific needs.
where we stand
Why choose ondeva as your Analytics-as-a-Service tool
Collect, filter, analyze and present data visually - with ondeva’s rapid and cost-effective solution.
Actionable insights
Why code from scratch when you can drag and drop flexible components to get there sooner? ondeva offers data mining, data profiling, data anomalies, predictive analytics, and ML algorithms, minus the need for developers.
Manage your data
We ensure all software on our platform is GDPR-compliant and data is safely managed. We can merge critical data at all touch points with your system for insights while adhering to the latest security standards.
API integrations
Manage multiple API integrations, data points, and workflows in one place. Move records to the cloud, extend systems, or bring all the tools in your stack together. Work with the confidence that you won’t have to start elsewhere.
getting started
From design to deployment in 4 simple steps
Develop 5 times faster and cheaper and shift costs to operational expenses with pay-as-you-go pricing.
Assess
We analyze your project, your expectations, and requirements
Build
We develop the software in line with your requirements and budget using our proprietary low-code platform.
Deploy
We continuously deploy and integrate, starting with the most essential features.
Manage
If needed, we provide support post-release and build a long-term partnership with your non-technical users.
Solving data challenges since 2015
Meet the companies that operate and digitize their services with ondeva.
“From the start, the start-up platform was envisioned as a large-scale project built with ondeva. It was a complete success!”
Claudia Menz
CEO, Gründerplattform
Solving data challenges since 2015
Meet the companies that operate and digitize their services with ondeva.
“From the start, the start-up platform was envisioned as a large-scale project built with ondeva. It was a complete success!”
Claudia Menz
CEO, Gründerplattform
deep dive
The variety of AaaS solutions
The typology of AaaS solutions includes 5 types but there can be more combinations depending on the use case:
Visualizations
Presents data and insights visually using maps, charts, and interactive diagrams.
Self-service AaaS
Allows non-technical users or business users to independently access, analyze, and visualize data.
Analytics PaaS
A cloud-based platform for developing, running, and managing data analytics apps and workflows.
Big data AaaS
Manages, stores, processes, and analyzes large volumes of data with scalable infrastructure.
Edge AaaS
Brings data analytics capabilities closer to where the data is generated—at the "edge" of the network.
ML AaaS
Provides pre-built machine learning functions for training, testing, and deploying models.
value
Ondeva analytics solutions: How we make a difference
Ondeva is a platform for building software without code. We help professionals turn ideas into software solutions that support their strategic and operational goals.
With ondeva AaaS
- Effective strategic decisions
Customized, actionable insights that empower informed decision-making, driving growth and innovation.
- Simplified analytics
Our low-code platform democratizes data analysis, making it accessible to all team members, regardless of their technical expertise.
- Dynamic real-time insights
Rapid data processing and analysis enable swift decision-making.
Without ondeva AaaS
- Limited insights
Struggling to derive meaningful insights from vast amounts of data.
- Complex data
The complexity of managing and analyzing data requires specialized programming skills, making it inaccessible to most of your team.
- Delayed decision making
Lengthy data analysis processes delay critical decision-making, leading to missed opportunities.
Trusted by companies and teams worldwide
Ondeva runs behind Germany’s leading bank, a global NGO, and a 5-million-user citizen platform for startups and entrepreneurs.
looking ahead
AaaS future: Embracing AI
Here are the 4 trends with AaaS that define the system integration landscape:
Empowered teams
AaaS empowers teams and partners to work independently, enhancing productivity and effectiveness. Employees will have access to data analytics and can derive insights to make decisions and drive innovation.
Managed complexity
Companies use data and analytics to transform chaos into complexity. While complexity isn't simple, it provides a clearer and more accurate understanding of the shifts occurring within the data and analytics ecosystem, enabling businesses to achieve better outcomes.
AI and Machine Learning
AaaS platforms are incorporating AI and machine learning capabilities, enabling businesses to leverage advanced analytics without needing specialized data science expertise. Automated insights, predictive analytics, and real-time decision-making will become more widespread.
Data can’t be trusted
Data is no longer a single source of truth, whether it's intentionally malicious, simply inaccurate, or incomplete. As GenAI continues to evolve in accessibility and performance, analytics solutions developers and data scientists must constantly question the accuracy and trustworthiness of data.
feature highlights
Why choose ondeva AaaS
Ondeva simplifies development and deployment, enabling you to build complex integrations that fit seamlessly into your communication and operational model.
Visual setup
Design pages, construct logic, data tables, and APIs with no code required. With a visual builder, everything from complex logic flows to automations is developed in a simple visual way.
Security
Ondeva is 100% GDPR-compliant. We follow security-by-design principles, meaning your data isn’t accessible by default - no manual privacy settings required. Build with confidence and control.
Scalability
As your usage grows, so does ondeva. Scalability is built into our product, so you can go from tiny to tremendous without any interruption. We take care of the infrastructure resources for you.
Complex data
A powerful data service to help you get started faster. Upload datasets, build tables, and manage data. On the front end, you can provide dynamic data updates to users via graphics, maps, and CSV downloads.
Collaboration
Add team members and build collaboratively. You can assign roles and define the visibility of the app’s areas based on each member’s development or business experience. Use version control to coordinate edits in the team.
AI power
Take app creation to the next level with automatic content generation for web pages, emails, and buttons. Integrate LLMs into your applications and build innovative AI-augmented software.
resources
Read and learn from the community
If you run into any issues, we will be here to support you. Understand our features through our blog articles, extensive documentation, video tutorials, or responsive customer support team.
discover ondeva platform
Explore how the full stack comes together in ondeva
faq
Ondeva and AaaS FAQs
Find answers to the most common questions about ondeva and Analytics-as-a-Service
Analytics as a Service (AaaS) is an analytics software and operations that enables organizations to use cloud-based analytical tools and services without the need to invest heavily in on-premises technology or manage complex software and hardware. AaaS offers services such as data collection, processing, analysis, and reporting and visualizations.
Yes, Analytics-as-a-Service is a form of cloud computing. It leverages cloud technology to deliver analytics capabilities to users over the internet. By utilizing cloud infrastructure, AaaS provides businesses with access to data analytics tools and large-scale data processing capabilities without the need for upfront investment in physical hardware or long-term maintenance.
Data Analytics as a Service is a subset of Analytics as a Service (AaaS) that specifically focuses on providing data analysis capabilities. It involves analyzing raw data to find trends, answer questions, or uncover insights that can help in decision-making.
Build for free with ondeva
No infrastructure. No coding. Try ondeva today and create your first app - on us.
