Direlli is a network of professional software engineers. We stand at the forefront of Software Engineering and IT Staff Augmentation, serving as a crucial ally in your digital transformation journey. We specialize in carving out bespoke web and software development solutions, bringing your corporate websites, e-commerce platforms, healthcare systems, EdTech projects, and mobile apps to life.
Our team of expert engineers go beyond the standard, offering extensive outsourcing services across the full arc of your application's lifecycle. At Direlli, we don't just deliver results - we craft dynamic digital experiences that catapult businesses into the future. Partner with us to turn your vision into a high-performing reality.
DATA PLATFORM DESIGNED FOR ACCESS TO THIRD-PARTY DATA
Challenge: Buying data is crucial to a business’ success, but needs to be done in a way that is efficient and effective
Solution: To create a cloud-based data platform that will increase the productivity of the data teams
User groups: Enterprises, businesses, startups
When it comes to data distribution, licensing, and subscription management, organizations and companies face many administrative and technical difficulties.
Our client turned to us with a request to develop a cloud-based data platform that will empower organizations to uplevel their strategy by connecting data providers with relevant external buyers at the right time to drive key business outcomes.
In collaboration with the client, we started the discussion of the project goals. Our aim was to create a platform with the following solutions:
1) Data Productization
2) Pipeline Management
3) Data Monitoring
Our team analyzed the project, brainstormed the alternatives, and came up with the best solution to create a platform that will make the data distribution more effective.
Today, Spectre has become one of the safest and most scalable data platforms on the market that enables the consumers to:
1) Reduce the cycle time to take models to production and keep models updated with refreshed data.
2) Increase productivity by offloading routine data engineering tasks.
3) Acquire and blend high-quality, reliable data with ease and continuously update and monitor data at a low cost.