Our integrated, modular data management and analytics platform is suitable for business consultants, financial experts, business analysts and data analysts. Both expert and non-expert users can develop accurate insights and new data-driven services with ease.
The development of AI and advanced analytics applications is very different from traditional software solutions. Analytics development is experimental in nature. You typically use different processes, technologies and talent.
This is why our platform is based around a concept called the “data science laboratory”. This lab is comprised of a selection of powerful components. Each development stage is performed in this “lab” environment, which is separate from your other systems to minimize disruption to your normal business operations.
Whether you’re in the data exploration stage, experimentation phase with your predictive models or developing your prototypes – this lab uses a series of rapid iterations to accelerate your development lifecycle.
Our data science laboratory provides the right tools and media for professional data scientists to develop advanced data products, including specialized financial planning and business performance management solutions – often using pre-built models.
Our data science laboratory provides flexible and scalable technologies to handle the changing demands of your analytics applications. It can handle new data and new modelling techniques with ease. It is modular. So, you can seamlessly port your developed solutions into the laboratory environment.
You can port this code using the latest development practices, including DevOps and MLOps principles. DevOps provides continuous development and MLOps automates your workflows. Both DevOps and MLOps can accelerate your development lifecycle and improve the quality of your solutions.
You can also use this functionality across different environments. This includes your data sandbox, data product playground, data science environment and data experimentation environments.
Automation is a key feature. In our platform, you can automate everything from your data integration to your data transformation and storage, data management and data analytics processes. Our platform provides a vast range of data product deployment solutions. It comes with full support and a range of automated scaling solutions, which rely on techniques including RPA, real-time analytics, advanced analytics, and ML.
We offer a rich suite of out-of-the-box analytical solutions for a wide range of business domains. We also provide an extensive portfolio of business analytics operations to accelerate your business analysis processes. These analytical solutions include exploratory analytics for finance, marketing and sales analytics, and procurement and inventory management analytics.
All of these components are managed and accessed through a cloud computing environment. This provides your business with the scalability to use the right computational resources at the right time, while also reducing your costs and O&M responsibilities.
Ultimately, our platform provides your business with the right solutions to create leading technologies and best practices to take your analytical capabilities to the next level.
Our platform uses technologies including data APIs, batches, data pipelines, and data catalogs. Your data is assembled, cleaned and combined from various source systems to create quality data sets. These data sources can be internal and external. once complete, data is combined into a single cleaned data set – ready for your analytics model development.
Our platform uses a wide selection of data connectors and Smart Data Discovery tools.
Our platform provides a comprehensive set of tools to aid collaboration and support the delivery of your data products. This helps your business manage and maintain its different lab environments, supporting the needs of your team every step of the way. From process owners to data scientists, data engineers, data translators working between your business and technical stakeholders, UX and visual designers, and delivery managers, our platform comes with the tools to support every user.
Our platform comes with a suite of tools to help you collaborate and innovate with ease. These tools make it possible for everyone to contribute across your development lifecycle. Your experts can share their expertise with ease. This information helps you deliver the best data science solutions, based on the best minds in your organization – and ours. Our data product delivery and collaboration tools include:
Our platform automates your workflows to accelerate your development process and improve your data product. But the automation of advanced analytics is a highly complex area. So, we have a specific focus on providing the right technologies and operational processes to create high-quality models, embedded in your production environments.
Our platform optimizes your model development process for accurate analysis. When developing any model, you need the right tool set to get the right results. Our platform provides the model development tools to build, test and train your data with accuracy and speed. To achieve this, our platform provides a full understanding of the data science modelling process and an iterative development process. In short, you don’t need to be a data expert to create advanced data analytics for your business.
Our platform takes care of everything. From our out-of-the-box analytics solutions to our predefined AI models, you can manage everything from our platform. You can create a new analytical solution, promote it to one of your default toolsets, and reuse it in other projects or for customers. It’s that simple.
A fully integrated initiative service desk is included, connecting you directly to Intellerts’ expert data scientists or your internal data science team. To build a successful data science solution, you need a highly skilled team of experts. Our platform helps you onboard the right experts when your project needs them.
Onboarding new data via our data management module ensures compliance with GDPR regulations. Detailed information for every data source onboarded is maintained on our platform.
Data encryption is completed at two points on the AIFA platform. As encryption is automatic, it requires no action from the user side. An AES- 256 algorithm is applied with master keys, which are termed by the AIFA servers.
Network monitoring, data access monitoring, intrusion detention are all operational at the server-side of the Intellerts AIFA platform. DDoS protection, login abuse protection, and authentication are prioritized and monitored 24/7/365.
Using our AIFA Data Science platform uses MFA at login. User authentication takes place via password and token-support procedures.
Access to projects and data is granted on an individual user basis. A gatekeeper validates all access requests and these requests are logged.
Each time a user logs in, a detailed authorization check is performed on the back-end, only providing access to what is assigned to the users’ profile.
Our AIFA Cloud platform infrastructure uses multiple layers of security. This includes the physical security measures found in our data centers and offices to the most advanced cybersecurity technology and professionals.
Your data, projects, and code are secured using daily encrypted back-ups. An online and offline back-up system is in place.
At Intellerts we take security and privacy seriously, we are ISO certified 9001 and 27001
Using our AIFA Data Science platform uses MFA at. User authentication takes place via password and token-support procedures.
Platform security & privacy
Integrated service desk module
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