Analytics-as-a-Service: from data overload to clarity
Understand your business data on the fly and solve complex data challenges with ondeva. We build data analytics solutions based on our 100% GDPR-compliant proprietary low-code solution.
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What is AaaS (Integration-Platform-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.
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.
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- Businesses still rely on outdated or legacy systems that are not designed to handle modern analytics tools.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.
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.
Get actionable insights
Why code from scratch when you can drag and drop flexible low-code components to get there sooner? ondeva offers data mining, data profiling, data anomalies, predictive analytics, and ML algorithms, minus the need for developers.
Manage and trust your data
We ensure all software on our platform is GDPR-compliant and data is safely managed. We can merge critical data at all touchpoints with your system for insights while adhering to the latest security standards.
Integrations through APIs
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.
Solving data challenges since 2015: Client stories
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!
"Our giant baby performs and scales"
Claudia Menz, CEO Gründerplattform
An NGO can now compile complex data independently, flexibly, and in a clear manner - without development resources.
“You've finally freed us from Excel!”
Internationally operating NGO
ondeva helped us create web applications and tools for startups and the self-employed in weeks instead of months!
“Delivering digital tools is easy as 123"
Benjamin Wölfing / AC, Everest
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.
Step 1: Assess
We analyze your project, your expectations, and requirements
Step 2: Build
We develop the software in line with your requirements and budget using our proprietary low-code platform.
Step 3: Deploy
We continuously deploy and integrate, starting with the most essential features.
Step 4: Manage
If needed, we provide support post-release and build a long-term partnership with your non-technical users.
We’ll guide you along the way
Kickstart your project by building a strategic partnership with ondeva.
Schedule a call with Frank, our CEO, to learn about our offer.
The variety of AaaS solutions
The typology of AaaS solutions includes 5 types but there can be more combinations depending on the use case:
Visualization-as-a-Service
Presents data and insights visually using maps, charts, and interactive diagrams.
Big data AaaS
Manages, stores, processes, and analyzes large volumes of data with scalable infrastructure.
Self-service AaaS
Allows non-technical users or business users to independently access, analyze, and visualize data.
Edge AaaS
Brings data analytics capabilities closer to where the data is generated—at the "edge" of the network.
Analytics PaaS
A cloud-based platform for developing, running, and managing data analytics apps and workflows.
Machine Learning AaaS
Provides pre-built machine learning functions for training, testing, and deploying models.
ondeva analytics solutions: How we make a difference
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.
AaaS future: Embracing AI
Here are the 4 trends with AaaS that define the system integration landscape:
AI and Machine Learning Integration
Managed complexity
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.
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.
Data is no longer a single source of truth
Empowered teams
Not all data can be trusted, 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.
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.
AI and Machine Learning Integration
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.
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.
Data is no longer a single source of truth
Not all data can be trusted, 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.
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.
Ready to connect and analyze your data?
Kickstart your project by building a strategic partnership with ondeva.
Schedule a call with Frank, our CEO, to learn about our offer.
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 backend logic, data tables, and APIs visually with no code required. With a visual builder, you can deploy your app faster. Everything from logic flows to automations is developed in a simple visual way.
Continuous integration & delivery
Your application is always up-to-date and ready to be deployed without the need to manage multiple development environments.
Gen AI-powered tools
Populate web pages with AI-generated content and images. Build AI apps, offering new ways to interact with your app through LLM and NLP. This dual benefit speeds up development and enhances user experience.
Choose any front-end stack
You can choose any coding framework or technology to build your app. Enjoy full flexibility and control of user experience, while the development platform handles all the infrastructure tasks.
Manage data in the cloud
A powerful data service to help you get started faster. Upload datasets, build tables, and manage data in compliance with GDPR. 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. Coordinate tasks in your team based on each member’s development or business experience.
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.
