Modern development processes in data management
How to design and implement an analytical data solution successfully, no matter your choice of approach.
Businesses need to modernize they development processes to be adaptable.
In today's fast-paced and constantly evolving business world, modern development processes are imperative for organizations to adapt to the ever-changing data landscape and new technologies seamlessly.
Smart data automation plays a crucial role in these processes by streamlining complex data challenges and increasing efficiency. With biGENIUS-X, your data engineering team can automate manual tasks such as coding, testing, and deployment, saving time and resources.
Planning your modern developement processes
To effectively tackle complex data challenges while also ensuring scalability, maintainability, and agility.
Understanding your business requirements
A clear understanding of the business requirements and objectives is crucial to guide the design and implementation of your data management solution.
Iterative Development Process
To ensure continuous feedback and improvement, it is important to establish an iterative development process, which can be achieved through agile development or DevOps.
Robust Testing Procedures
Implementing robust testing procedures is crucial to ensure the quality and reliability of the data management solution. This includes both automated testing and manual testing by domain experts.
Well-Defined Deployment Process
To ensure smooth and seamless deployment of new features and updates without disrupting existing workflows, which involves proper version control, documentation, and training for end-users.
The versatility of biGENIUS completes your data analytics life cycle.
Click on the chart to see how biGENIUS compares to and work with your existing tools.
Start smart, with your data automation today.
Accelerate your applied intelligence workflow with comprehensive features that biGENIUS has to offer.
Smart data automation with biGENIUS
Metadata-driven automation and code generation to streamline the development and management of your analytical data solutions.
Acceleration
Smart data automation brings analytical data projects to market by automating repeatable and tedious tasks such as source discovery, fact and dimension mapping, change impact analysis, and version control.
Coherence
Smart data automation leverages data design patterns and platform-specific best practices to deliver consistent, high-quality code. Auto-generated documentation helps you to understand and troubleshoot.
Simplicity
Smart data automation simplifies the process of collecting, storing, and managing data, making it easier and more cost-effective to access and analyze data by automating mundane and complex tasks.
Adaptability
By shortening iteration cycles, smart data automation helps IT and business teams focus on business needs, accelerate time to insight, and increase the business value of your analytical data solution.
What our customers are saying
See what industry leaders say about biGENIUS and their experience of working with us.
“Thanks to biGENIUS, we were able to lay the foundation for combining data from different sources into one report or dashboard.”
“The efficient DWH generator enabled us to achieve the required transparency with regard to marketplace performance within a very short time, in high quality and in compliance with BI best practices.”
“The biGENIUS team is knowledgeable about the inner workings of the application - stuff that you can't work out yourself as a customer.”
“For us, it's really a central tool that should do a lot in helping people have a standardized approach for the whole firm.”
“Since we have been using biGENIUS, we manage the development 100% internally. We did not only save a lot of money but, having built everything ourselves, we gained in efficiency as we are able to adapt any user requests right away.”
biGENIUS updates and industry insights
Stay updated on the biGENIUS application and get valuable insights on the development of data management technologies.
