Success Stories
arieotech helps businesses put their best foot forward through effective technological deployment. While technology promises high operational efficiency, making judicious use of technical infrastructure and processes is critical for harnessing this potential. Our experts at arieotech brought about such a careful deployment of data science in their recent work with an EdTech company.
The EdTech company operated globally with:
However, reliance on outdated technology made managing and analyzing their data difficult:
Our experts at arieotech created a customized Extract Transform Load (ETL) platform and migrated its huge database and the associated 1000+SQL Server Integration Services (SSIS) packages into current versions making their maintenance faster, smoother and more economical. To resolve the issue of round-the-clock on-call technical expertise which slowed down system support, they introduced a user-friendly UI–based application and provided generic solutions to resolve the issues with the integration services. This cut down on the time needed for maintenance and repair tasks of these critical jobs by over 55%. Identifying errors and fixing them was now convenient and easy, optimizing operational efficiency and increasing productivity.
Within the Edtech and the related publishing industry, the uses of data engineering are many. It can help offer personalized instruction, provide graphic charts delineating learners’ strengths and weaknesses, and deepen understanding of the business’s own offerings by analyzing its courses, list of titles and customer demand for such offerings.
The business we worked with saw the natural fit between data engineering and EdTech and decided to leverage it to stay ahead of the competition.
Since the business functioned primarily as an intermediary between authors, publishers and readers, it had to maintain operations across 59 countries. Keeping a tab on these was of the essence. Additionally, the company had many printing facilities, distribution centers and sales offices spread across the globe. Data about demand and sales needed to be tracked and analyzed. While the company had its handle on data storage with over 1000 SSIS packages up and running, these packages were outdated.
Any tasks of maintenance and fixing were difficult because support services for these older packages were no longer available. What’s more is that any job scheduling for database maintenance cost a significant amount of time, with one job scheduling taking up to half-a-working day. Every such delay meant accumulated revenue costs in the thousands.
Our team of data engineers began by updating all the databases. They undertook the complex task of migrating the older version of integration services and data warehouses into current versions. They did this smoothly because of expert leveraging of SQL servers, MySQL, MongoDB and Kafka among others. At the same time, to fix the additional time and resource costs due to reliance on outside technical experts for job scheduling, our team developed an application with an intuitive User Interface (UI). Simple to use and navigate with drag-and-drop options, anyone could now schedule jobs and undertake fixes. To facilitate such app development, our team used Angular, .NET Core, .NET and Python. Such a UI design also reduced the company’s reliance on SSIS packages, which now came down to 500, saving costs by 30%.
Our team of experts also brought about a conversion of legacy databases for a seamless transition of operations onto the new app. They brought together a team to offer continuity support for both the new project and existing systems and took care of ongoing development and maintenance while offering round-the-clock client support.
Our team’s deep understanding of these data engineering technologies and the specific needs of the business ensured that the company was now significantly better placed for resource optimization. Better revenue is the only logical next step. Bring about such a seamless transition for your own business now.
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