An Economical, Time Bound, Scalable Data Platform Designed for Advanced Analytics and AI

Data-driven innovation has served as a pivotal element in technological advancement for more than a decade. However, the recent pandemic and the subsequent post-pandemic period have underscored the diverse needs facing industries today, from addressing supply chain challenges to adapting to hybrid work cultures. Additionally, the recent surge in generative AI has steered companies toward the development of enterprise data platforms. This shift underscores the urgent need to harness data more effectively, empowering businesses to navigate the evolving landscape and tackle these critical challenges. However, recent research in this direction—aiming to develop economical, timely, and scalable data platforms—has been notably scarce. This research presents the development of a scalable, cost-effective, and time-efficient data platform designed to support various data domains such as Data Analytics, Marketing, Data Science, and Artificial Intelligence. Utilizing a case study with a simulation within a real-world organizational context, in the practical organizational setting of over the past four years, we integrated data into a central Lakehouse using Spark Delta to assess the platform’s capabilities. We have collected data using metadata-driven ingestion patterns using near real-time, batch, and Application programming interface (API). The platform leverages advanced technologies like Spark, Databricks, Kafka, Power BI, and cloud infrastructure to meet the high-performance demands of data management and analysis. The implementation results revealed the platform’s proficiency in processing data, performing intelligent analytics, and generating actionable insights efficiently. Its cost-effectiveness and impressive performance outcomes highlight the platform’s potential as an invaluable resource for organizations optimizing data assets. This platform also builds in short duration. This paper details the design, implementation, and benefits of our proposed data platform, illustrating its significance as a robust solution for enterprises leveraging data-driven decision-making. This approach will help organizations to get project success and highlighted positive outcomes.